Kevin Flurkey
Impact in
- Aging top 0.02%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
- Aging 29
- Genetics, Aging, and Longevity in Model Organisms 29
-
- Circadian rhythm and melatonin 6
- Regulation of Appetite and Obesity 6
- Co-authors
- Richard A. MillerClinton M. AstleJames F. NelsonRandy StrongMartin A. JavorsNancy L. NadonElizabeth FernándezZ. Dave Sharp
- Journals
- Aging Cell (10 papers)Mechanisms of Ageing and Development (6 papers)Biology of Reproduction (4 papers)The Journals of Gerontology Series A (4 papers)Diabetes (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kevin Flurkey
56 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 3.1k
- Endocrine and Autonomic Systems 996
- Geriatrics and Gerontology 496
- Physiology 2.9k
- Biological Psychiatry 131
Countries citing papers authored by Kevin Flurkey
This map shows the geographic impact of Kevin Flurkey'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 Kevin Flurkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Flurkey more than expected).
Fields of papers citing papers by Kevin Flurkey
This network shows the impact of papers produced by Kevin Flurkey. 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 Kevin Flurkey. The network helps show where Kevin Flurkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Flurkey, 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 | 2025 | 0 | |
| 2 | 2018 | 18 | |
| 3 | 2017 | 21 | |
| 4 | 2013 | 430 | |
| 5 | 2012 | 90 | |
| 6 | 2012 | 14 | |
| 7 | Rapamycin, But Not Resveratrol or Simvastatin, Extends Life Span of Genetically Heterogeneous Mice Hit paper breakdown → | 2010 | 686 |
| 8 | 2010 | 76 | |
| 9 | 2008 | 248 | |
| 10 | 2007 | 39 | |
| 11 | 2006 | 9 | |
| 12 | 2005 | 15 | |
| 13 | 2004 | 24 | |
| 14 | 2004 | 28 | |
| 15 | 2002 | 22 | |
| 16 | 2002 | 170 | |
| 17 | 2002 | 76 | |
| 18 | 2002 | 28 | |
| 19 | 1992 | 32 | |
| 20 | 1983 | 14 |
About Kevin Flurkey
Kevin Flurkey is a scholar working on Aging, Endocrine and Autonomic Systems, Physiology, Reproductive Medicine and Behavioral Neuroscience, having authored 57 papers that have together received 7.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (29 papers), Adipose Tissue and Metabolism (13 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Circadian rhythm and melatonin (6 papers), Birth, Development, and Health (6 papers), Regulation of Appetite and Obesity (6 papers), T-cell and B-cell Immunology (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Aging (3.1k citations), Endocrine and Autonomic Systems (996 citations), Geriatrics and Gerontology (496 citations), Physiology (2.9k citations) and Biological Psychiatry (131 citations). Kevin Flurkey has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Richard A. Miller, Clinton M. Astle, James F. Nelson, Randy Strong, Martin A. Javors, Nancy L. Nadon, Elizabeth Fernández, Z. Dave Sharp, John E. Wilkinson and John Papaconstantinou. Their work appears in journals such as Aging Cell, Mechanisms of Ageing and Development, Biology of Reproduction, The Journals of Gerontology Series A and Diabetes.
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.