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Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals

Year 2024, Volume: 14 Issue: 2, 642 - 649, 01.06.2024
https://doi.org/10.21597/jist.1402305

Abstract

Multiple sclerosis (MS) is a prevalent neurological disease with a global impact on patients' lives. Our study aimed to conduct a bibliometric analysis of research published in the field of pharmacology over the past decade. We retrieved original articles on MS from pharmacology journals in the last ten years through the Scopus database. The collected data underwent analysis using VOSViewer software, examining relationships between studies based on parameters such as citation, authorship, and organizations. In our country-based analysis, the United States emerged with the highest document count, totaling 350, followed by Germany with 210 documents. Claudio Viegas holds the top position with four publications in the last decade. The most prolific organization identified was associated with the Biogen-Cambridge-MA-United States group. However, Chulalongkorn University in Bangkok, Thailand, specifically the Department of Psychiatry, received the most citations. The most cited document was "Therapeutic Advances in Neurological Disorders," while the study with the highest citations was Ferreria-Vieira et al.'s (2016) work published in Current Neuropharmacology. Research efforts on MS treatment are evidently growing, with diverse research groups contributing worldwide. We anticipate that our study will provide valuable guidance to researchers in the field by shedding light on significant research and their interconnections in recent years.

Ethical Statement

The study does not require ethical approval. However, as authors, we declare that we act in accordance with the Publication Ethics.

Supporting Institution

This research received no external funding.

References

  • Albuquerque, P. C., Castro, M. J. C., Santos-Gandelman, J., Oliveira, A. C., Peralta, J. M., & Rodrigues, M. L. (2017). Bibliometric indicators of the Zika outbreak. PLoS neglected tropical diseases, 11(1), e0005132.
  • Aleixandre-Benavent, R., Alonso-Arroyo, A., Gonzalez de Dios, J., Vidal-Infer, A., Gonzalez-Munoz, M., & Sempere, A. P. (2015). Bibliometric profile of the global scientific research on multiple sclerosis (2003-2012). Mult Scler, 21(2), 235-245. doi:10.1177/1352458514540357
  • Alryalat, S. A. S., Malkawi, L. W., & Momani, S. M. (2019). Comparing bibliometric analysis using PubMed, Scopus, and Web of Science databases. JoVE (Journal of Visualized Experiments)(152), e58494.
  • Amin, M., & Hersh, C. M. (2023). Updates and advances in multiple sclerosis neurotherapeutics. Neurodegener Dis Manag, 13(1), 47-70. doi:10.2217/nmt-2021-0058
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  • Aykaç, S., & Eliaçık, S. (2022). What are the trends in the treatment of multiple sclerosis in recent studies?–A bibliometric analysis with global productivity during 1980–2021. Multiple Sclerosis and Related Disorders, 68, 104185.
  • Demir, E., Akmeşe, Ö. F., Erbay, H., Taylan-Özkan, A., & Mumcuoğlu, K. Y. (2020). Bibliometric analysis of publications on house dust mites during 1980–2018. Allergologia et immunopathologia, 48(4), 374-383.
  • Dobson, R., & Giovannoni, G. (2019). Multiple sclerosis - a review. Eur J Neurol, 26(1), 27-40. doi:10.1111/ene.13819 Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
  • Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105, 1809-1831.
  • Gelfand J.M. (2014). Multiple sclerosis: diagnosis, differential diagnosis, and clinical presentation. Handb Clin Neurol.
  • Gholamzad, M., Ebtekar, M., Ardestani, M. S., Azimi, M., Mahmodi, Z., Mousavi, M. J., & Aslani, S. (2019). A comprehensive review on the treatment approaches of multiple sclerosis: currently and in the future. Inflamm Res, 68(1), 25-38. doi:10.1007/s00011-018-1185-0
  • Hauser, S. L., & Cree, B. A. C. (2020). Treatment of Multiple Sclerosis: A Review. Am J Med, 133(12), 1380-1390 e1382. doi:10.1016/j.amjmed.2020.05.049
  • Kaba, İ., & Çoşkun, N. (2022). The evolution of COVID-19 publications in pediatrics: a bibliometric analysis with research trends and global productivity: bibliometric analysis of COVID-19 publications in pediatrics. Medical Science and Discovery, 9(8), 421-431.
  • Kosovali, B. D., & Mutlu, N. M. (2023). Global scientific outputs of extracorporeal membrane oxygenation in COVID-19: A bibliometric overview. Perfusion, 38(6), 1153-1164.
  • Lin, J., Zhou, J., & Xu, Y. (2023). Potential drug targets for multiple sclerosis identified through Mendelian randomization analysis. Brain, awad070.
  • McGinley MP, Goldschmidt CH, Rae-Grant AD. (2021). Diagnosis and Treatment of Multiple Sclerosis: A Review. JAMA, 325(8):765–79. 10.1001/jama.2020.26858
  • Olsson, T., Barcellos, L. F., & Alfredsson, L. (2017). Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nature Reviews Neurology, 13(1), 25-36.
  • Peterson, S., Jalil, A., Beard, K., Kakara, M., & Sriwastava, S. (2022). Updates on efficacy and safety outcomes of new and emerging disease modifying therapies and stem cell therapy for Multiple Sclerosis: A review. Mult Scler Relat Disord, 68, 104125. doi:10.1016/j.msard.2022.104125
  • Simkins TJ, Duncan GJ, Bourdette D. (2021). Chronic Demyelination and Axonal Degeneration in Multiple Sclerosis: Pathogenesis and Therapeutic Implications. Curr Neurol Neurosci Rep, 21(6):26. 10.1007/s11910-021-01110-5
  • Thompson A.J., Baranzini S.E., Geurts J., et. al. (2018). Multiple Sclerosis. Lancet Neurol, 391: pp. 1622-1636. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:10.1007/s11192-009-0146-3
  • Walton, C., King, R., Rechtman, L., Kaye, W., Leray, E., Marrie, R. A., . . . Baneke, P. (2020). Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition. Mult Scler, 26(14), 1816-1821. doi:10.1177/1352458520970841
  • Yang, L., Tu, S., Feng, L., Lai, X., & Wang, R. (2021). Bibliometric analysis of multiple sclerosis nursing research based on Web of Science. Ann Palliat Med, 10(7), 7551-7559. doi:10.21037/apm-21-1057
Year 2024, Volume: 14 Issue: 2, 642 - 649, 01.06.2024
https://doi.org/10.21597/jist.1402305

Abstract

References

  • Albuquerque, P. C., Castro, M. J. C., Santos-Gandelman, J., Oliveira, A. C., Peralta, J. M., & Rodrigues, M. L. (2017). Bibliometric indicators of the Zika outbreak. PLoS neglected tropical diseases, 11(1), e0005132.
  • Aleixandre-Benavent, R., Alonso-Arroyo, A., Gonzalez de Dios, J., Vidal-Infer, A., Gonzalez-Munoz, M., & Sempere, A. P. (2015). Bibliometric profile of the global scientific research on multiple sclerosis (2003-2012). Mult Scler, 21(2), 235-245. doi:10.1177/1352458514540357
  • Alryalat, S. A. S., Malkawi, L. W., & Momani, S. M. (2019). Comparing bibliometric analysis using PubMed, Scopus, and Web of Science databases. JoVE (Journal of Visualized Experiments)(152), e58494.
  • Amin, M., & Hersh, C. M. (2023). Updates and advances in multiple sclerosis neurotherapeutics. Neurodegener Dis Manag, 13(1), 47-70. doi:10.2217/nmt-2021-0058
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
  • Aykaç, S., & Eliaçık, S. (2022). What are the trends in the treatment of multiple sclerosis in recent studies?–A bibliometric analysis with global productivity during 1980–2021. Multiple Sclerosis and Related Disorders, 68, 104185.
  • Demir, E., Akmeşe, Ö. F., Erbay, H., Taylan-Özkan, A., & Mumcuoğlu, K. Y. (2020). Bibliometric analysis of publications on house dust mites during 1980–2018. Allergologia et immunopathologia, 48(4), 374-383.
  • Dobson, R., & Giovannoni, G. (2019). Multiple sclerosis - a review. Eur J Neurol, 26(1), 27-40. doi:10.1111/ene.13819 Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
  • Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105, 1809-1831.
  • Gelfand J.M. (2014). Multiple sclerosis: diagnosis, differential diagnosis, and clinical presentation. Handb Clin Neurol.
  • Gholamzad, M., Ebtekar, M., Ardestani, M. S., Azimi, M., Mahmodi, Z., Mousavi, M. J., & Aslani, S. (2019). A comprehensive review on the treatment approaches of multiple sclerosis: currently and in the future. Inflamm Res, 68(1), 25-38. doi:10.1007/s00011-018-1185-0
  • Hauser, S. L., & Cree, B. A. C. (2020). Treatment of Multiple Sclerosis: A Review. Am J Med, 133(12), 1380-1390 e1382. doi:10.1016/j.amjmed.2020.05.049
  • Kaba, İ., & Çoşkun, N. (2022). The evolution of COVID-19 publications in pediatrics: a bibliometric analysis with research trends and global productivity: bibliometric analysis of COVID-19 publications in pediatrics. Medical Science and Discovery, 9(8), 421-431.
  • Kosovali, B. D., & Mutlu, N. M. (2023). Global scientific outputs of extracorporeal membrane oxygenation in COVID-19: A bibliometric overview. Perfusion, 38(6), 1153-1164.
  • Lin, J., Zhou, J., & Xu, Y. (2023). Potential drug targets for multiple sclerosis identified through Mendelian randomization analysis. Brain, awad070.
  • McGinley MP, Goldschmidt CH, Rae-Grant AD. (2021). Diagnosis and Treatment of Multiple Sclerosis: A Review. JAMA, 325(8):765–79. 10.1001/jama.2020.26858
  • Olsson, T., Barcellos, L. F., & Alfredsson, L. (2017). Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nature Reviews Neurology, 13(1), 25-36.
  • Peterson, S., Jalil, A., Beard, K., Kakara, M., & Sriwastava, S. (2022). Updates on efficacy and safety outcomes of new and emerging disease modifying therapies and stem cell therapy for Multiple Sclerosis: A review. Mult Scler Relat Disord, 68, 104125. doi:10.1016/j.msard.2022.104125
  • Simkins TJ, Duncan GJ, Bourdette D. (2021). Chronic Demyelination and Axonal Degeneration in Multiple Sclerosis: Pathogenesis and Therapeutic Implications. Curr Neurol Neurosci Rep, 21(6):26. 10.1007/s11910-021-01110-5
  • Thompson A.J., Baranzini S.E., Geurts J., et. al. (2018). Multiple Sclerosis. Lancet Neurol, 391: pp. 1622-1636. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:10.1007/s11192-009-0146-3
  • Walton, C., King, R., Rechtman, L., Kaye, W., Leray, E., Marrie, R. A., . . . Baneke, P. (2020). Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition. Mult Scler, 26(14), 1816-1821. doi:10.1177/1352458520970841
  • Yang, L., Tu, S., Feng, L., Lai, X., & Wang, R. (2021). Bibliometric analysis of multiple sclerosis nursing research based on Web of Science. Ann Palliat Med, 10(7), 7551-7559. doi:10.21037/apm-21-1057
There are 22 citations in total.

Details

Primary Language English
Subjects Software Engineering (Other)
Journal Section Biyoloji / Biology
Authors

Mazhar Özkan 0000-0002-8745-2493

Tuğba Nurcan Yüksel 0000-0001-5092-1674

Fatih Tozoğlu 0000-0002-8882-9264

Early Pub Date May 28, 2024
Publication Date June 1, 2024
Submission Date December 8, 2023
Acceptance Date February 1, 2024
Published in Issue Year 2024 Volume: 14 Issue: 2

Cite

APA Özkan, M., Yüksel, T. N., & Tozoğlu, F. (2024). Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals. Journal of the Institute of Science and Technology, 14(2), 642-649. https://doi.org/10.21597/jist.1402305
AMA Özkan M, Yüksel TN, Tozoğlu F. Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals. J. Inst. Sci. and Tech. June 2024;14(2):642-649. doi:10.21597/jist.1402305
Chicago Özkan, Mazhar, Tuğba Nurcan Yüksel, and Fatih Tozoğlu. “Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals”. Journal of the Institute of Science and Technology 14, no. 2 (June 2024): 642-49. https://doi.org/10.21597/jist.1402305.
EndNote Özkan M, Yüksel TN, Tozoğlu F (June 1, 2024) Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals. Journal of the Institute of Science and Technology 14 2 642–649.
IEEE M. Özkan, T. N. Yüksel, and F. Tozoğlu, “Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals”, J. Inst. Sci. and Tech., vol. 14, no. 2, pp. 642–649, 2024, doi: 10.21597/jist.1402305.
ISNAD Özkan, Mazhar et al. “Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals”. Journal of the Institute of Science and Technology 14/2 (June 2024), 642-649. https://doi.org/10.21597/jist.1402305.
JAMA Özkan M, Yüksel TN, Tozoğlu F. Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals. J. Inst. Sci. and Tech. 2024;14:642–649.
MLA Özkan, Mazhar et al. “Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals”. Journal of the Institute of Science and Technology, vol. 14, no. 2, 2024, pp. 642-9, doi:10.21597/jist.1402305.
Vancouver Özkan M, Yüksel TN, Tozoğlu F. Bibliometric Analysis of Multiple Sclerosis Studies in Pharmacology Journals. J. Inst. Sci. and Tech. 2024;14(2):642-9.