Literature DB >> 33007648

A bibliometric evaluation of the top 100 cited natalizumab articles.

Francisco Javier García-Fernández1, Alba Estela García-Fernández2, Eduardo Nava3, Julian Solis Garcia Del Pozo4, Ichiro Ikuta5, Joaquin Jordan3, Maria F Galindo6.   

Abstract

Natalizumab is being used in recurrent multiple sclerosis despite its history of market withdrawal due to lethal cases. We have carried out a bibliometric analysis of this drug from 1999 to February 2020 in order to assess the real impact of the use natalizumab with the goal to identify the key articles that sustain the current knowledge on the therapeutic possibilities of this compound. We have extracted from the Web of Science the top 100 most cited records (T100) and tabulated data on the journal, authors, publication year, number of citations, countries and institutions of publication, T100-records, citation density and citations per record of the works. The 100 most cited articles were selected from a total of 32,507 citations out of 2817 publications with an h-number of 74, 11.54 citations/publication, and a density of 1544.79 citations/year. Citations ranged from 63 of the paper placed in the 100th position (T100) to 1940 of the paper in the first position (T1). T2 was cited 888 times, and the difference in the number of citations between T1 and T2 was higher than that between T2 and T10. T1, T2 and T3 are clinical trials. When articles are arranged by institution and nationality having more than 10 T100 articles, biotechnology company Biogen and the USA, respectively, lead the ranking, but we also find that 8 out of 10 are academic European institutions. A co-authorship analysis reveals an intense collaborative activity between countries and institutions. We conclude that the clinical and academic communities have shown a sustained interest in natalizumab for the therapy of recurrent multiple sclerosis over the last 20 years.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bibliometric; Natalizumab; Top 100 cited articles

Mesh:

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Year:  2020        PMID: 33007648     DOI: 10.1016/j.jneuroim.2020.577379

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  5 in total

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  5 in total

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