Kay Ahn

3.6k citations
18 papers · 2.4k indexed · 1 hit paper · h-index 13

Impact in

Papers in

Kay Ahn

17 papers receiving 2.4k citations

Hit Papers

SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1 2010 · 723 citations
7232010202620152020200400600

Peers

Kay Ahn
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 526
  • Pharmacology 1.2k
  • Toxicology 239
  • Aging 64
  • Physiology 132
Replace Jason E. Savage with:
Jason E. Savage United States
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Teresa Cunha‐Oliveira Portugal
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Robert P. Strosznajder Poland
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Kay Ahn relative to Jason E. Savage United States Jason E. Savage's profile →
Citations per field
00.5×5.1×
Jason E. Savage · 1×
Citations per year

Countries citing papers authored by Kay Ahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kay Ahn Line = papers co-authored together Kay Ahn links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202349
2 202112
3 20215
4 20200
5 20189
6 20176
7 201327
8 201225
9 201276
10 201215
11 2011191
12
SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1
Hit paper breakdown →
2010723
13 2010148
14 2009373
15 200959
16 2009151
17 2008429
18 2008127

About Kay Ahn

Kay Ahn is a scholar working on Toxicology, Pharmacology, Biochemistry, Geriatrics and Gerontology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (8 papers), Pancreatic function and diabetes (5 papers), Forensic Toxicology and Drug Analysis (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Computational Drug Discovery Methods (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Geriatrics and Gerontology (526 citations), Pharmacology (1.2k citations), Toxicology (239 citations), Aging (64 citations) and Physiology (132 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, John E. Bleasdale, Boris A. Chrunyk, Robert S. Garofalo and David Cunningham. Their work appears in journals such as Biochemistry, Journal of Lipid Research, Journal of Pharmacology and Experimental Therapeutics, ACS Medicinal Chemistry Letters and Journal of Biological Chemistry.

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.

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