ArticleThe Indian journal of medical research2026
Bibliometric characteristics of highly cited publications from the Indian Journal of Medical Research.
Article in The Indian journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objectives Indian Journal of Medical Research (IJMR), established in 1913, is a cornerstone of Indian biomedical scholarship. This bibliometric study evaluated the highly cited publications (HCPs; ≥100 citations) to describe their profiles (themes and institutions). Methods From 14,834 Scopus-indexed records (1945-2024), 187 HCPs (1957-2022) were analysed using MS Excel and VOSviewer for citation trends, co-authorship networks (country, organisation, author), co-word analysis, and subject mapping across domains. Metrics included total citations (TC), citations per paper (CPP), and total link strength (TLS). Results Highly cited publications amassed 33,830 citations (average CPP: 180.9), with a predominance of review articles (58.3%; CPP: 197.6). Temporal peaks occurred in 2004-2015, stabilising post-2016. Communicable diseases led thematically (e.g., bacterial infections: 33 papers, 5,478 TC; virology: 23 papers, 3,432 TC), followed by non-communicable foci like diabetes (21 papers). India dominated (148 papers; >70%), with All India Institute of Medical Sciences (AIIMS)-New Delhi (23 papers; CPP: 181.5) and Indian Council of Medical Research (ICMR) (15 papers; CPP: 216.7) as hubs in a 12-cluster network (472 links; TLS: 447). International collaborations were limited (12.8%; CPP: 155.1), and so were external (national and international) funding (5.9%). Author networks emerging from the HCPS (5 clusters; 165 links; TLS: 170) centered on ICMR-AIIMS synergies; keywords clustered around metabolic ('diabetes mellitus': 17 occurrences) and infectious motifs. Interpretation and conclusions The findings of this analysis suggests that the IJMR reflects India's strengths in biomedical research, with a focus on review-based research and topics addressing the country's disease burden thus far. However, stronger national and international collaborations, along with improved research funding, are needed to enhance the global impact of its published research.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.