Paul Caton
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
- Adipose Tissue and Metabolism
- Biochemical effects in animals
- Calcium signaling and nucleotide metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Kruppel-like factors research 2
- Physiology 11
- Adipose Tissue and Metabolism 6
- Biochemical effects in animals 3
- Co-authors
- Julius Kieswich (10 shared papers)Mary C. Sugden (3 shared papers)Mark J. Holness (3 shared papers)Roger Corder (6 shared papers)N.K. Nayuni (4 shared papers)M C Sugden (4 shared papers)M J Holness (2 shared papers)Noorafza Q. Khan (3 shared papers)
- Journals
- Diabetologia (4 papers)Life Sciences (3 papers)Journal of Endocrinology (3 papers)The FASEB Journal (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Paul Caton
37 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Geriatrics and Gerontology 316
- Physiology 415
- Physiology 78
- Aging 26
- Endocrine and Autonomic Systems 69
Countries citing papers authored by Paul Caton
This map shows the geographic impact of Paul Caton'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 Paul Caton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Caton more than expected).
Fields of papers citing papers by Paul Caton
This network shows the impact of papers produced by Paul Caton. 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 Paul Caton. The network helps show where Paul Caton may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Caton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 164 | |
| 2 | 2009 | 162 | |
| 3 | 2011 | 115 | |
| 4 | 2013 | 99 | |
| 5 | 2011 | 92 | |
| 6 | 2016 | 79 | |
| 7 | 2004 | 63 | |
| 8 | 2010 | 46 | |
| 9 | 2017 | 46 | |
| 10 | 2011 | 43 | |
| 11 | 2016 | 42 | |
| 12 | 2014 | 39 | |
| 13 | 2018 | 37 | |
| 14 | 2019 | 37 | |
| 15 | 2016 | 35 | |
| 16 | 2009 | 33 | |
| 17 | 2011 | 31 | |
| 18 | 2010 | 31 | |
| 19 | 2014 | 28 | |
| 20 | 2022 | 26 |
About Paul Caton
Paul Caton is a scholar working on Molecular Biology, Physiology, Geriatrics and Gerontology, Surgery and Pharmacology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (10 papers), Adipose Tissue and Metabolism (6 papers), Botanical Research and Applications (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Biochemical effects in animals (3 papers), Digital Humanities and Scholarship (3 papers), Pharmacology and Obesity Treatment (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (316 citations), Physiology (415 citations), Physiology (78 citations), Aging (26 citations) and Endocrine and Autonomic Systems (69 citations). Paul Caton has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Julius Kieswich, Mary C. Sugden, Mark J. Holness, Roger Corder, N.K. Nayuni, M C Sugden, M J Holness, Noorafza Q. Khan, Muhammad M. Yaqoob and Muhammed M. Yaqoob. Their work appears in journals such as Diabetologia, Life Sciences, Journal of Endocrinology, The FASEB Journal and Acta Pharmaceutica Sinica B.
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.