Evidence map›Paper›PMID 42176042›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Pharmacology through the lens of bibliometrics: global trends, research hotspots, and collaborations (2015-2026).

Narendra Kumar

Abstract read
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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Narendra KumarDepartment of Biotechnology, Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, 201306, India. narendra.kumar@niet.co.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study conducts extensive bibliometric analysis of pharmacology bibliometric publications worldwide during 2015-April 15, 2026. The objective of this study was to explore publication trends, contributors, and research hotspots. The search process was conducted using the Scopus database, with analysis being performed using the VOSviewer software. In total, 1014 articles were selected out of 1242 studies. The yearly publication count has risen significantly from 23 in 2015 to 280 in 2025, representing approximately 12 times more publications, while total citation count amounted to 14,984 citations, with a maximum citation count of 3922 in 2025. Geographical distribution demonstrated China as the leading producer with 419 publications, while the second and third places belong to the USA (104) and India (96). However, the USA leads in terms of collaboration intensity. Journals with the highest number of published papers include Frontiers in Pharmacology, with 43 articles and 786 citations. The keyword co-occurrence analysis reveals the presence of key topics such as drug therapy, oxidative stress, inflammation, and bibliometric analysis. Emerging topics include artificial intelligence and machine learning. The results of collaboration network analysis show growing globalization trends, although regional differences remain significant.

Indexed as

BibliometricsPharmacologyCooperative BehaviorHumansArtificial intelligenceBibliometricsCitation analysisDrug ResearchPharmacologyResearch trendsScientometricsVOSviewer

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.