James E. Chapman
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Telomeres, Telomerase, and Senescence 5
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Co-authors
- João F. Passos (3 shared papers)Edward Fielder (2 shared papers)Thomas J. J. Nicholls (3 shared papers)Yi Shiau Ng (1 shared paper)John M. Evans (1 shared paper)Gavin David Richardson (2 shared papers)Katja E. Menger (2 shared papers)William Andrew Owens (1 shared paper)
- Journals
- Aging Cell (2 papers)The EMBO Journal (2 papers)The Annals of Thoracic Surgery (1 paper)American Heart Journal (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
James E. Chapman
13 papers receiving 1.7k citations
James E. Chapman's Hit Papers
Peers
Comparison fields: 5 of 98
- Aging 234
- Physiology 694
- Immunology 366
- Geriatrics and Gerontology 54
- Clinical Biochemistry 69
Countries citing papers authored by James E. Chapman
This map shows the geographic impact of James E. Chapman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James E. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Chapman more than expected).
Fields of papers citing papers by James E. Chapman
This network shows the impact of papers produced by James E. Chapman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James E. Chapman. The network helps show where James E. Chapman may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Chapman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Apoptotic stress causes mtDNA release during senescence and drives the SASP Hit paper breakdown → | 2023 | 470 |
| 2 | Length‐independent telomere damage drives post‐mitotic cardiomyocyte senescence Hit paper breakdown → | 2019 | 418 |
| 3 | 2019 | 261 | |
| 4 | 2021 | 168 | |
| 5 | 2020 | 136 | |
| 6 | 2018 | 66 | |
| 7 | 2020 | 61 | |
| 8 | 1999 | 57 | |
| 9 | 1954 | 42 | |
| 10 | 2021 | 33 | |
| 11 | 1988 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2004 | 4 |
About James E. Chapman
James E. Chapman is a scholar working on Physiology, Immunology, Dermatology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Mitochondrial Function and Pathology (2 papers), ATP Synthase and ATPases Research (2 papers), Cancer therapeutics and mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Aging (234 citations), Physiology (694 citations), Immunology (366 citations), Geriatrics and Gerontology (54 citations) and Clinical Biochemistry (69 citations). James E. Chapman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include João F. Passos, Edward Fielder, Thomas J. J. Nicholls, Yi Shiau Ng, John M. Evans, Gavin David Richardson, Katja E. Menger, William Andrew Owens, Eduard Jirkovský and Simon Tual‐Chalot. Their work appears in journals such as Aging Cell, The EMBO Journal, The Annals of Thoracic Surgery, American Heart Journal and Nucleic Acids Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.