ArticleNaunyn-Schmiedeberg's archives of pharmacology2025
Bibliometric comparison of Nobel Prize laureates: a few suggestions.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Suggestions and insights from 28 bibliometric studies in the Journal of Robotic Surgery.Journal of robotic surgery · 2025Pooled it
- A bibliometric study of the most-cited research articles and reviews in Naunyn-Schmiedeberg's Archives of Pharmacology (1969-2024).Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Authorship analysis of publications in Naunyn-Schmiedeberg's Archives of Pharmacology (1969-2024).Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Teaching Spirituality in Nursing: Additional Evidence for Developing a Bibliometric Analysis.Journal of religion and health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study offers insights into a paper by the esteemed editor-in-chief, who conducted a bibliometric comparison of Nobel laureates in physiology, medicine, and chemistry to examine the substantial influence these scientists have had on their respective fields (Naunyn-Schmiedeberg's Arch Pharmacol, 397, 2024, 7169-7185). Analyzing metrics such as laureates' nationalities, ages at productivity peaks, H-index, and age-adjusted H-index, the research highlights distinct career patterns among these distinguished scientists. The present study addresses the limitations of traditional metrics, like the H-index, which may undervalue early-career contributions or multidisciplinary impacts due to its focus on cumulative citations. Alternative indicators such as the H-upper, H-center, and H-tail indices are proposed to capture more balanced aspects of scholarly influence, highlighting top-cited, moderately cited, and broadly influential work, respectively. This study also suggests the value of incorporating composite indices such as the HG-composite and Q2 indices in relevant future studies. A list of other indicators is also provided, which may be employed in similar studies. In the same vein, altmetrics, such as social media engagement, download counts, and mentions in digital and traditional media, further complement these metrics by illustrating the broader, more immediate societal relevance of Nobel laureates' work. The present study proposes a multi-dimensional approach for evaluating research impact, integrating various metrics, and highlighting the need for cross-database comparisons to ensure accurate assessments.
Indexed as
Identifiers
39625486What OpenQuestion 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 OpenQuestion graph.