The crossroads of melatonin: Bibliometric analysis and mapping of global scientific research
Bibliometric analysis of melatonin
Keywords:
Melatonin, Bibliometry, Scientific production, Collaborative networks
Abstract
Melatonin is a molecule that has attracted a great deal of attention from the scientific community in the last 50 years. The aim of this study is to analyze the scientific production on related to melatonin using bibliometric tools. We performed a search in Web of Science, involving documents published between 1958 and 2019. We used bibliometric indicators to explore documents production, dispersion, distribution, time of duplication and annual growth, as Price's law of scientific literature growth, Lotka's law, the transient index and the Bradford model. We also calculated the participation index of the different countries and institutions. Finally, through bibliometric mapping, we explored the co-occurrence networks for the most frequently used terms in melatonin research. A total of 20,768 documents were retrieved. Scientific production was better adjusted to linear growth (r = 0.9535) than exponential (r = 0.9313). The duplication time of the documents obtained was 14.2 years. The transience index was 62%, which indicates that most of the scientific production is due to very few authors. The signature rate per document was 1.95. Thirty-four journals made up the Bradford core, highlighting Journal of Pineal Research. USA and University of Texas present the highest production. Map network visualization shows the generated term map detailing on clusters of closely related terms. The growth of the scientific literature on melatonin was linear, with a very high rate of transience, which indicates the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed. In the last 10 years, there has been a relevant increase in documents on melatonin.
References
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2. Venegas C, García JA, Escames G, et al. (2012). Extrapineal melatonin: analysis of its subcellular distribution and daily fluctuations. J. Pineal Res. 52: 217-27.
3. Zisapel N (2018) New perspectives on the role of melatonin in human sleep, circadian rhythms and their regulation. Br. J. Pharmacol. 175: 3190-3199.
4. Ma Z, Yang Y, Fan C, et al. (2016) Melatonin as a potential anticarcinogen for non-small-cell lung cancer. Oncotarget 7: 46768-46784.
5. Reiter RJ, Rosales-Corral SA, Tan DX, et al. (2017) Melatonin, a Full Service Anti-Cancer Agent: Inhibition of Initiation, Progression and Metastasis. Int. J. Mol. Sci. 18: 843. doi: 10.3390/ijms18040843.
6. Kubatka P, Zubor P, Busselberg D, et al. (2018) Melatonin and breast cancer: Evidences from preclinical and human studies. Crit. Rev. Oncol. Hematol. 122: 133-143.
7. Gil-Martín E, Egea J, Reiter RJ, Romero A (2019) The emergence of melatonin in oncology: Focus on colorectal cancer. Med. Res. Rev. 39: 2239-2285.
8. Esteban-Zubero E, López-Pingarrón L, Alatorre-Jiménez MA, et al. (2017) Melatonin's role as a co-adjuvant treatment in colonic diseases: A review. Life Sci. 170: 72-81.
9. Tengattini S, Reiter RJ, Tan DX, et al. (2008) Cardiovascular diseases: protective effects of melatonin. J. Pineal Res. 44: 16-25.
10. Sun H, Gusdon AM, Qu S (2016) Effects of melatonin on cardiovascular diseases: progress in the past year. Curr. Opin. Lipidol. 27: 408-413.
11. Ramos E, Egea J, de Los Ríos C, et al. (2017) Melatonin as a versatile molecule to design novel multitarget hybrids against neurodegeneration. Future Med. Chem. 9: 765-780.
12. Cardinali DP (2019) Melatonin: Clinical Perspectives in Neurodegeneration. Front. Endocrinol. (Lausanne) 10: 480. doi: 10.3389/fendo.2019.00480.
13. Zhao CN, Wang P, Mao YM, et al. (2019) Potential role of melatonin in autoimmune diseases. Cytokine Growth Factor Rev. 48: 1-10. doi: 10.1016/j.cytogfr.2019.07.002
14. Elmahallawy EK, Luque JO, Aloweidi AS, et al. (2015) Potential Relevance of Melatonin Against Some Infectious Agents: A Review and Assessment of Recent Research. Curr. Med. Chem. 22: 3848-3861.
15. Sánchez-Barceló EJ, Mediavilla MD, Tan DX, Reiter RJ (2010) Clinical uses of melatonin: evaluation of human trials. Curr. Med. Chem. 17: 2070-2095.
16. Lerner AB, Case JD, Takahashi Y, et al. (1958) Isolation of melatonin, the pineal gland factor that lightens melanocytes. J. Am. Chem. Soc. 80: 2587.
17. López-Muñoz F, Marín F, Álamo C (2010) El devenir histórico de la glándula pineal. I: de válvula espiritual a sede del alma. Rev. Neurol. 50: 50-57.
18. López-Muñoz F, Marín F, Álamo C (2010) El devenir histórico de la glándula pineal. II: de sede del alma a órgano neuroendocrino. Rev. Neurol 50: 117-125.
19. López-Muñoz F, Marín F, Álamo C (2016) History of pineal gland as neuroendocrine organ and discovery of melatonin. Melatonin, Neuroprotective Agents and Antidepressant Therapy, eds López-Muñoz F, Srinivasan V, De Berardis D, Álamo C, Kato TA (Springer International, New Delhi), pp 1-23.
20. Moed HF, Burger WJM, Frankfort JG, Van Raan AFJ (1985) A comparative study of bibliometric past performance analysis and peer judgement. Scientometrics 8 (3-4): 149-159.
21. López Piñero JM (1972) El análisis estadístico y sociométrico de la literatura científica (Centro de Documentación e informática Médica de la Facultad de Medicina de Valencia, Valencia).
22. López-Muñoz F, Marín F, Boya J (1996). Evaluación bibliométrica de la producción científica española en neurociencia. Análisis de las publicaciones de difusión internacional durante el periodo 1984-1993. Rev. Neurol. 24: 417-426.
23. López-Muñoz F, Álamo C, Rubio G, et al. (2003) Bibliometric analysis of biomedical publications on SSRIs during the period 1980-2000. Depres. Anxiety 18: 95-103.
24. López-Muñoz F, Vieta E, Rubio G, et al. (2006) Bipolar disorder as an emerging pathology in the scientific literature: a bibliometric approach. J. Affect. Dis. 92: 161-170.
25. López-Muñoz F, Álamo C, Guerra JA, Rubio G (2006) Twenty-four years of scientific publications on selective serotonin reuptake inhibitors (SSRI): a bibliometric approach. Focus on Serotonin Uptake Inhibitor Research, ed Shirley AC (Nova Science Publishers, Inc., New York), pp 191-219.
26. López-Muñoz F, Álamo C, Quintero-Gutiérrez FJ, García-García P (2008a) A bibliometric study of international scientific productivity in attention-deficit hyperactivity disorder covering the period 1980-2005. Eur. Child Adolesc. Psychiatry 17: 381-391.
27. López-Muñoz F, García-García P, Sáiz-Ruiz J, et al. (2008) A bibliometric study of the use of the classification and diagnostic systems in psychiatry over the last 25 years. Psychopathology 41: 214-225.
28. López-Muñoz F, Shen WW, Shinfuku N, et al. (2014) A bibliometric study on second-generation antipsychotic drugs in the Asia-Pacific Region. J. Exp. Clin. Med. 6: 111-117.
29. López-Muñoz F, Povedano FJ, García-García P, et al. (2015) Evolution of international scientific production on Attention-Deficit Hyperactivity Disorder: A bibliometric analysis of the last 34 years. Attention Deficit Hyperactivity Disorder (ADHD): Epidemiology, Treatment and Prevention, eds López-Muñoz F, Álamo C (Nova Science Publishers, Inc., New York), pp 1-22.
30. López-Muñoz F, Sanz-Fuentenebro FJ, Rubio G, et al. (2015) Quo vadis clozapine?. A bibliometric study of 45 years of research in international context. Int. J. Mol. Sci. 16: 23012-23034.
31. López-Muñoz F, Srinivasan V, Gutiérrez-Soriano A, et al. (2016) A bibliometric analysis of scientific research on atypical antipsychotic drugs in India during 1998-2013. Mol. Med. Chem. 2: e1113. doi: 10.14800/mmc.1113.
32. López-Muñoz F, Tracy DK, Povedano-Montero FJ, et al. (2019) Trends in scientific literature on atypical antipsychotic drugs in United Kingdom: A bibliometric study. Ther. Adv. Psychopharmacol. 9: 1-12. doi: 10.1177/2045125318820207.
33. García-García P, López-Muñoz F, Rubio G, et al. (2008) Phytotherapy and psychiatry: Bibliometric study of the scientific literature from the last 20 years. Phytomedicine Int. J. Phytother. Phytopharmacol. 15: 566-576.
34. Povedano-Montero FJ, Weinreb RN, Raga-Martínez I, et al. (2020) Detection of neurological and ophthalmological pathologies with Optical Coherence Tomography using retinal thickness measurements: A bibliometric study. Appl. Sci. 10: 5477. doi:10.3390/app10165477.
35. López-Muñoz F, Boya J, Marín F, Calvo JL (1996) Scientific research on the pineal gland and melatonin: a bibliometric study for the period 1966-1994. J. Pineal Res. 20: 115-124.
36. López-Muñoz F, Povedano FJ, Álamo C (2016) Bibliometric study of scientific research on melatonin during the last 25 years. Melatonin, Neuroprotective Agents and Antidepressant Therapy, eds López-Muñoz F, Srinivasan V, De Berardis D, Álamo C, Kato TA (Springer International, New Delhi), pp 25-42.
37. Redondo M, León L, Povedano FJ, et al. (2017). A bibliometric study of the scientific publications on patient-reported outcomes in rheumatology. Sem. Arthr. Rheum. 46: 828-833.
38. Okoroiwu HU, López-Muñoz F, Povedano-Montero FJ (2018) Bibliometric analysis of global Lassa fever research (1970-2017): A 47 - Year study. BMC Infect. Dis. 18: 639.
39. Price DJS (1963) Little Science, Big Science (Columbia University Press, New York).
40. Egghe L, Ravichandra Rao IK (1992) Classification of growth models based on growth rates and its applications. Scientometrics 25: 5-46.
41. Garfield E (1979) Citation indexing. Its theory and application in science, technology and humanities (Wiley, New York).
42. Lotka AJ (1926) The frequency distribution of scientific productivity. J. Wash. Acad. Sci. 16: 317-323.
43. Bradford SC (1948) Documentation (Crosby Lockwood and Son Ltd., London).
44. Börner K, Chen C, Boyack KW (2003) Visualizing knowledge domains. Annu. Rev. Inf. Sci. Technol. 37: 179-255.
45. van Van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84: 523-538.
46. Leydesdorff L, Welbers K (2010) The semantic mapping of words and co-words in contexts. J. Informetr. 5: 469-475.
47. Kessler MM (1963) Bibliographic coupling between scientific papers. Am. Doc. 14: 10-25.
48. Pritchard A (1969) Statistical bibliography or Bibliometrics. J. Document. 25: 348-369.
49. Bordons M, Zulueta MA (1999) Evaluación de la actividad científica a través de indicadores bibliométricos. Rev. Esp. Cardiol. 52: 790-800.
50. Fiske VM, Bryant GK, Putnam J (1960) Effect of light in the weight of the pineal in the rat. Endocrinology 66: 489-491.
51. Quay WB (1961) Reduction of mammalian pineal weight and lipid during continuous light. Gen. Comp. Endocrinol. 1: 211-217.
52. Wurtman RJ, Roth W, Altschule MD, Wurtman JJ (1961) Interactions of the pineal and exposure to continuous light on organ weights of female rats. Acta Endocrinol. (Kbh.) 36: 617-624.
53. Hoffman RA, Reiter RJ (1965) Pineal gland: Influence on gonads of male hamsters. Science 148: 1609-1611.
54. Dubocovich ML (1988) Pharmacology and function of melatonin receptors. FASEB J. 2: 2765-2733.
55. Álamo C, López-Muñoz F, García-García P (2014) Agomelatine: A neuroprotective agent with clinical utility beyond depression and anxiety. Melatonin: Therapeutic Value and Neuroprotection, eds Srinivasan V, Gobbi G, Shillcutt SD, Suzen S (CRC Press Taylor & Francis Group, Boca Raton) pp 309-324.
56. Wurtman RJ, Axelrod J (1965) The pineal gland. Sci. Am. 213: 50-60.
57. Wurtman RJ, Axelrod J, Philips LS (1963) Melatonin synthesis in the pineal gland: control by light. Science 142: 1071-1073.
58. Wurtman RJ, Axelrod J, Fischer JE (1964) Melatonin synthesis in the pineal gland: effect of light mediated by the sympathetic nervous system. Science 143: 1328-1330.
59. Axelrod J, Weissbach H (1960) Enzymatic O-methylation of N-acetylserotonin to melatonin. Science 131: 1312.
60. Quay WB (1963) Circadian rhythm in rat pineal serotonin and its modifications by estrous cycle and photoperiod. Gen. Comp. Endocrinol. 3: 473-479.
61. Kappers JA (1960) The development, topographical relations and innervation of the epiphysis cerebri in the albino rat. Z. Zellforsch. Mikrosk. Anat. 52: 163-215.
62. Bünning E (1958) Die physiologischen Uhr (Springer Verlag, Berlin).
63. Vollrath L (1981) The Pineal Organ. In: Handbuch der Mikroskopischen Anatomie des Menschen, vol. VI/7 (Springer Verlag, Berlin).
64. Welsh MG (1994) Current methodologies for the study of pineal morphophysiology. J. Pineal Res. 16: 113-120.
65. White HD, McCain KW (1989) Bibliometric. Ann. Rev. Inf. Sci. Technol. 24: 119-186.
66. Johnson MH, Cohen J, Grudzinskas G (2012) The uses and abuses of bibliometrics. Rep. BioMed. Online 24: 485-486.
67. Ha TC, Tan SB, Soo KC (2006) The journal impact: too much of an impact. Ann. Acad. Med. Singapore 35: 911-916.
68. Coleman R (1999) Impact factors: use and abuse in biomedical research. Anat. Rec. 257: 54-57.
2. Venegas C, García JA, Escames G, et al. (2012). Extrapineal melatonin: analysis of its subcellular distribution and daily fluctuations. J. Pineal Res. 52: 217-27.
3. Zisapel N (2018) New perspectives on the role of melatonin in human sleep, circadian rhythms and their regulation. Br. J. Pharmacol. 175: 3190-3199.
4. Ma Z, Yang Y, Fan C, et al. (2016) Melatonin as a potential anticarcinogen for non-small-cell lung cancer. Oncotarget 7: 46768-46784.
5. Reiter RJ, Rosales-Corral SA, Tan DX, et al. (2017) Melatonin, a Full Service Anti-Cancer Agent: Inhibition of Initiation, Progression and Metastasis. Int. J. Mol. Sci. 18: 843. doi: 10.3390/ijms18040843.
6. Kubatka P, Zubor P, Busselberg D, et al. (2018) Melatonin and breast cancer: Evidences from preclinical and human studies. Crit. Rev. Oncol. Hematol. 122: 133-143.
7. Gil-Martín E, Egea J, Reiter RJ, Romero A (2019) The emergence of melatonin in oncology: Focus on colorectal cancer. Med. Res. Rev. 39: 2239-2285.
8. Esteban-Zubero E, López-Pingarrón L, Alatorre-Jiménez MA, et al. (2017) Melatonin's role as a co-adjuvant treatment in colonic diseases: A review. Life Sci. 170: 72-81.
9. Tengattini S, Reiter RJ, Tan DX, et al. (2008) Cardiovascular diseases: protective effects of melatonin. J. Pineal Res. 44: 16-25.
10. Sun H, Gusdon AM, Qu S (2016) Effects of melatonin on cardiovascular diseases: progress in the past year. Curr. Opin. Lipidol. 27: 408-413.
11. Ramos E, Egea J, de Los Ríos C, et al. (2017) Melatonin as a versatile molecule to design novel multitarget hybrids against neurodegeneration. Future Med. Chem. 9: 765-780.
12. Cardinali DP (2019) Melatonin: Clinical Perspectives in Neurodegeneration. Front. Endocrinol. (Lausanne) 10: 480. doi: 10.3389/fendo.2019.00480.
13. Zhao CN, Wang P, Mao YM, et al. (2019) Potential role of melatonin in autoimmune diseases. Cytokine Growth Factor Rev. 48: 1-10. doi: 10.1016/j.cytogfr.2019.07.002
14. Elmahallawy EK, Luque JO, Aloweidi AS, et al. (2015) Potential Relevance of Melatonin Against Some Infectious Agents: A Review and Assessment of Recent Research. Curr. Med. Chem. 22: 3848-3861.
15. Sánchez-Barceló EJ, Mediavilla MD, Tan DX, Reiter RJ (2010) Clinical uses of melatonin: evaluation of human trials. Curr. Med. Chem. 17: 2070-2095.
16. Lerner AB, Case JD, Takahashi Y, et al. (1958) Isolation of melatonin, the pineal gland factor that lightens melanocytes. J. Am. Chem. Soc. 80: 2587.
17. López-Muñoz F, Marín F, Álamo C (2010) El devenir histórico de la glándula pineal. I: de válvula espiritual a sede del alma. Rev. Neurol. 50: 50-57.
18. López-Muñoz F, Marín F, Álamo C (2010) El devenir histórico de la glándula pineal. II: de sede del alma a órgano neuroendocrino. Rev. Neurol 50: 117-125.
19. López-Muñoz F, Marín F, Álamo C (2016) History of pineal gland as neuroendocrine organ and discovery of melatonin. Melatonin, Neuroprotective Agents and Antidepressant Therapy, eds López-Muñoz F, Srinivasan V, De Berardis D, Álamo C, Kato TA (Springer International, New Delhi), pp 1-23.
20. Moed HF, Burger WJM, Frankfort JG, Van Raan AFJ (1985) A comparative study of bibliometric past performance analysis and peer judgement. Scientometrics 8 (3-4): 149-159.
21. López Piñero JM (1972) El análisis estadístico y sociométrico de la literatura científica (Centro de Documentación e informática Médica de la Facultad de Medicina de Valencia, Valencia).
22. López-Muñoz F, Marín F, Boya J (1996). Evaluación bibliométrica de la producción científica española en neurociencia. Análisis de las publicaciones de difusión internacional durante el periodo 1984-1993. Rev. Neurol. 24: 417-426.
23. López-Muñoz F, Álamo C, Rubio G, et al. (2003) Bibliometric analysis of biomedical publications on SSRIs during the period 1980-2000. Depres. Anxiety 18: 95-103.
24. López-Muñoz F, Vieta E, Rubio G, et al. (2006) Bipolar disorder as an emerging pathology in the scientific literature: a bibliometric approach. J. Affect. Dis. 92: 161-170.
25. López-Muñoz F, Álamo C, Guerra JA, Rubio G (2006) Twenty-four years of scientific publications on selective serotonin reuptake inhibitors (SSRI): a bibliometric approach. Focus on Serotonin Uptake Inhibitor Research, ed Shirley AC (Nova Science Publishers, Inc., New York), pp 191-219.
26. López-Muñoz F, Álamo C, Quintero-Gutiérrez FJ, García-García P (2008a) A bibliometric study of international scientific productivity in attention-deficit hyperactivity disorder covering the period 1980-2005. Eur. Child Adolesc. Psychiatry 17: 381-391.
27. López-Muñoz F, García-García P, Sáiz-Ruiz J, et al. (2008) A bibliometric study of the use of the classification and diagnostic systems in psychiatry over the last 25 years. Psychopathology 41: 214-225.
28. López-Muñoz F, Shen WW, Shinfuku N, et al. (2014) A bibliometric study on second-generation antipsychotic drugs in the Asia-Pacific Region. J. Exp. Clin. Med. 6: 111-117.
29. López-Muñoz F, Povedano FJ, García-García P, et al. (2015) Evolution of international scientific production on Attention-Deficit Hyperactivity Disorder: A bibliometric analysis of the last 34 years. Attention Deficit Hyperactivity Disorder (ADHD): Epidemiology, Treatment and Prevention, eds López-Muñoz F, Álamo C (Nova Science Publishers, Inc., New York), pp 1-22.
30. López-Muñoz F, Sanz-Fuentenebro FJ, Rubio G, et al. (2015) Quo vadis clozapine?. A bibliometric study of 45 years of research in international context. Int. J. Mol. Sci. 16: 23012-23034.
31. López-Muñoz F, Srinivasan V, Gutiérrez-Soriano A, et al. (2016) A bibliometric analysis of scientific research on atypical antipsychotic drugs in India during 1998-2013. Mol. Med. Chem. 2: e1113. doi: 10.14800/mmc.1113.
32. López-Muñoz F, Tracy DK, Povedano-Montero FJ, et al. (2019) Trends in scientific literature on atypical antipsychotic drugs in United Kingdom: A bibliometric study. Ther. Adv. Psychopharmacol. 9: 1-12. doi: 10.1177/2045125318820207.
33. García-García P, López-Muñoz F, Rubio G, et al. (2008) Phytotherapy and psychiatry: Bibliometric study of the scientific literature from the last 20 years. Phytomedicine Int. J. Phytother. Phytopharmacol. 15: 566-576.
34. Povedano-Montero FJ, Weinreb RN, Raga-Martínez I, et al. (2020) Detection of neurological and ophthalmological pathologies with Optical Coherence Tomography using retinal thickness measurements: A bibliometric study. Appl. Sci. 10: 5477. doi:10.3390/app10165477.
35. López-Muñoz F, Boya J, Marín F, Calvo JL (1996) Scientific research on the pineal gland and melatonin: a bibliometric study for the period 1966-1994. J. Pineal Res. 20: 115-124.
36. López-Muñoz F, Povedano FJ, Álamo C (2016) Bibliometric study of scientific research on melatonin during the last 25 years. Melatonin, Neuroprotective Agents and Antidepressant Therapy, eds López-Muñoz F, Srinivasan V, De Berardis D, Álamo C, Kato TA (Springer International, New Delhi), pp 25-42.
37. Redondo M, León L, Povedano FJ, et al. (2017). A bibliometric study of the scientific publications on patient-reported outcomes in rheumatology. Sem. Arthr. Rheum. 46: 828-833.
38. Okoroiwu HU, López-Muñoz F, Povedano-Montero FJ (2018) Bibliometric analysis of global Lassa fever research (1970-2017): A 47 - Year study. BMC Infect. Dis. 18: 639.
39. Price DJS (1963) Little Science, Big Science (Columbia University Press, New York).
40. Egghe L, Ravichandra Rao IK (1992) Classification of growth models based on growth rates and its applications. Scientometrics 25: 5-46.
41. Garfield E (1979) Citation indexing. Its theory and application in science, technology and humanities (Wiley, New York).
42. Lotka AJ (1926) The frequency distribution of scientific productivity. J. Wash. Acad. Sci. 16: 317-323.
43. Bradford SC (1948) Documentation (Crosby Lockwood and Son Ltd., London).
44. Börner K, Chen C, Boyack KW (2003) Visualizing knowledge domains. Annu. Rev. Inf. Sci. Technol. 37: 179-255.
45. van Van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84: 523-538.
46. Leydesdorff L, Welbers K (2010) The semantic mapping of words and co-words in contexts. J. Informetr. 5: 469-475.
47. Kessler MM (1963) Bibliographic coupling between scientific papers. Am. Doc. 14: 10-25.
48. Pritchard A (1969) Statistical bibliography or Bibliometrics. J. Document. 25: 348-369.
49. Bordons M, Zulueta MA (1999) Evaluación de la actividad científica a través de indicadores bibliométricos. Rev. Esp. Cardiol. 52: 790-800.
50. Fiske VM, Bryant GK, Putnam J (1960) Effect of light in the weight of the pineal in the rat. Endocrinology 66: 489-491.
51. Quay WB (1961) Reduction of mammalian pineal weight and lipid during continuous light. Gen. Comp. Endocrinol. 1: 211-217.
52. Wurtman RJ, Roth W, Altschule MD, Wurtman JJ (1961) Interactions of the pineal and exposure to continuous light on organ weights of female rats. Acta Endocrinol. (Kbh.) 36: 617-624.
53. Hoffman RA, Reiter RJ (1965) Pineal gland: Influence on gonads of male hamsters. Science 148: 1609-1611.
54. Dubocovich ML (1988) Pharmacology and function of melatonin receptors. FASEB J. 2: 2765-2733.
55. Álamo C, López-Muñoz F, García-García P (2014) Agomelatine: A neuroprotective agent with clinical utility beyond depression and anxiety. Melatonin: Therapeutic Value and Neuroprotection, eds Srinivasan V, Gobbi G, Shillcutt SD, Suzen S (CRC Press Taylor & Francis Group, Boca Raton) pp 309-324.
56. Wurtman RJ, Axelrod J (1965) The pineal gland. Sci. Am. 213: 50-60.
57. Wurtman RJ, Axelrod J, Philips LS (1963) Melatonin synthesis in the pineal gland: control by light. Science 142: 1071-1073.
58. Wurtman RJ, Axelrod J, Fischer JE (1964) Melatonin synthesis in the pineal gland: effect of light mediated by the sympathetic nervous system. Science 143: 1328-1330.
59. Axelrod J, Weissbach H (1960) Enzymatic O-methylation of N-acetylserotonin to melatonin. Science 131: 1312.
60. Quay WB (1963) Circadian rhythm in rat pineal serotonin and its modifications by estrous cycle and photoperiod. Gen. Comp. Endocrinol. 3: 473-479.
61. Kappers JA (1960) The development, topographical relations and innervation of the epiphysis cerebri in the albino rat. Z. Zellforsch. Mikrosk. Anat. 52: 163-215.
62. Bünning E (1958) Die physiologischen Uhr (Springer Verlag, Berlin).
63. Vollrath L (1981) The Pineal Organ. In: Handbuch der Mikroskopischen Anatomie des Menschen, vol. VI/7 (Springer Verlag, Berlin).
64. Welsh MG (1994) Current methodologies for the study of pineal morphophysiology. J. Pineal Res. 16: 113-120.
65. White HD, McCain KW (1989) Bibliometric. Ann. Rev. Inf. Sci. Technol. 24: 119-186.
66. Johnson MH, Cohen J, Grudzinskas G (2012) The uses and abuses of bibliometrics. Rep. BioMed. Online 24: 485-486.
67. Ha TC, Tan SB, Soo KC (2006) The journal impact: too much of an impact. Ann. Acad. Med. Singapore 35: 911-916.
68. Coleman R (1999) Impact factors: use and abuse in biomedical research. Anat. Rec. 257: 54-57.
Published
2021-01-01
How to Cite
[1]
López-Muñoz, F., Povedano-Montero, F., Romero, A., Egea, J. and Alamo, C. 2021. The crossroads of melatonin: Bibliometric analysis and mapping of global scientific research. Melatonin Research. 4, 1 (Jan. 2021), 152-172. DOI:https://doi.org/https://doi.org/10.32794/mr1250088.
Section
Research Articles
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