ArticleBiogerontology2025
Proteomics research in aging: a bibliometric and visualized analysis of evolution and emerging trends (1998-2024 and early 2025).
Article in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to analyze the global research landscape and identify emerging trends in research hotspots, key technologies, and clinical applications in proteomics research in aging from 1998 to June 20, 2025. Publications related to aging and proteomics from 1998 to June 20, 2025 were retrieved from the Web of Science Core Collection. A bibliometric analysis was conducted using VOSviewer, CiteSpace, and R 4.3.3 to evaluate publication trends, research collaborations, and emerging topics. A total of 3,638 studies were included in the analysis. The USA, China, and Germany led in publication volume with 983, 829, and 227 articles respectively. Harvard University was the most prolific institution with 306 publications, followed by University of California System and Chinese Academy of Sciences. Key research was published in high-impact journals such as Journal of Proteome Research, Aging Cell, and Proteomics. Luigi Ferrucci, and D. Allan Butterfield were the most influential authors. Cluster analysis identified five research hotspots: protein expression and cellular senescence mechanisms, age-related diseases and neurodegeneration, cellular processes and molecular mechanisms, stress response and longevity mechanisms, and advanced proteomics technologies and biomarker discovery. Burst keyword analysis revealed recent research hotspots including health, dementia, extracellular vesicles and receptor. This study demonstrates that aging proteomics research has matured into distinct yet interconnected domains spanning basic molecular mechanisms, clinical disease applications, and technological innovations, reflecting the field's evolution toward translational and precision medicine approaches for age-related conditions. Future research directions may focus on clinical translation of aging biomarkers and development of precision medicine approaches for age-related diseases.
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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.