Global level research output in brain death: a Scientometric analysis

S Ravichandran*, P Rajendran

SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamilnadu, India

Refer this article

S Ravichandran, P Rajendran. Global level research output in brain death: a Scientometric analysis. January-February 2025, V3 – I1, Pages - 0310 – 0319. Doi: https://doi.org/10.55522/ijti.v3i1.0100.

ABSTRACT

The present study has analysed nearly the growth of research publications published during the study period from 2012 to 2021 with a sample of 5614 articles published in the field of brain death. The highest number of articles i.e. 652(11.61%) was published in the year 2020. Followed by the second-highest number of articles in 603(10.74%) were contributed in the year 2018. The RGR of an article has gradually decreased from 0.73 in the year 2013 to 0.10 in the year 2021 for the given study period. The doubling time of the publication of articles gradually increases from 0.94 in the year 2013 to 6.66 in the year 2021. The most prolific authors in the field of brain death, it is observed that Lewis, A. has contributed the highest number of articles i.e. 58(15.43%) research publications in the United States. The large majority of the research output is available in the form of Article 3550(63.23%) research publication, and , the country of United States contributed the highest number of articles which amounts to more than 1767(40.43%) of the total publication. The Institutions of with Harvard Medical School alone published 101(14.55%) articles, and the journals of found that Transplantation Proceedings is on the top of the list with the publication of 346(29.88%) publications securing the first rank. The time series analysis statistical application will be expected in the brain death research publications in the year 2025 is around equal to 1661 and in the year 2030 is around equal to 2211. So that time serious analysis confirmed that the publications on the brain death research are increasing trend. The highly cited paper Mallon D.H.; et.al (2023) Defining delayed graft function after renal transplantation: Simplest is best, Transplantation, 96 (10): 885-889. The citation of 219 and document type of article.

Keywords:

Scientometric, Brain Death, RGR, Time series analysis, highly cited paper, RCI.