Kay Ahn
Impact in
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine
- Pharmacology top 0.5%
- Cannabis and Cannabinoid Research
Papers in
- Pharmacology 10
- Cannabis and Cannabinoid Research 8
- Inflammatory mediators and NSAID effects 2
- Surgery 5
- Pancreatic function and diabetes 5
- Co-authors
- Benjamin F. Cravatt (10 shared papers)Michele K. McKinney (2 shared papers)Douglas S. Johnson (7 shared papers)Brandon Pabst (4 shared papers)Marya Liimatta (5 shared papers)Jessica Ward (2 shared papers)Boris A. Chrunyk (1 shared paper)Jane M. Withka (1 shared paper)
- Journals
- Biochemistry (6 papers)Journal of Lipid Research (1 paper)Nature Chemical Biology (1 paper)Nuclear Medicine and Biology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
Kay Ahn
17 papers receiving 2.5k citations
Kay Ahn's Hit Papers
Peers
Comparison fields: 5 of 95
- Geriatrics and Gerontology 542
- Pharmacology 1.2k
- Toxicology 193
- Aging 66
- Physiology 129
Countries citing papers authored by Kay Ahn
This map shows the geographic impact of Kay Ahn'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 Kay Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Ahn more than expected).
Fields of papers citing papers by Kay Ahn
This network shows the impact of papers produced by Kay Ahn. 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 Kay Ahn. The network helps show where Kay Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Kay Ahn, 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 | SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1 Hit paper breakdown → | 2010 | 769 |
| 2 | 2008 | 446 | |
| 3 | 2009 | 384 | |
| 4 | 2011 | 198 | |
| 5 | 2010 | 160 | |
| 6 | 2009 | 156 | |
| 7 | 2008 | 131 | |
| 8 | 2012 | 79 | |
| 9 | 2009 | 60 | |
| 10 | 2023 | 52 | |
| 11 | 2013 | 29 | |
| 12 | 2012 | 28 | |
| 13 | 2012 | 18 | |
| 14 | 2021 | 14 | |
| 15 | 2018 | 10 | |
| 16 | 2017 | 7 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 0 |
About Kay Ahn
Kay Ahn is a scholar working on Pharmacology, Surgery, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (8 papers), Pancreatic function and diabetes (5 papers), Nitric Oxide and Endothelin Effects (2 papers), Inflammatory mediators and NSAID effects (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Lipid metabolism and biosynthesis (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Geriatrics and Gerontology (542 citations), Pharmacology (1.2k citations), Toxicology (193 citations), Aging (66 citations) and Physiology (129 citations). Kay Ahn has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Benjamin F. Cravatt, Michele K. McKinney, Douglas S. Johnson, Brandon Pabst, Marya Liimatta, Jessica Ward, Boris A. Chrunyk, Jane M. Withka, Brian J. Stockman and V. Thanabal. Their work appears in journals such as Biochemistry, Journal of Lipid Research, Nature Chemical Biology, Nuclear Medicine and Biology and Journal of Pharmacology and Experimental Therapeutics.
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.