Kay Ahn

3.6k total citations · 1 hit paper
18 papers, 2.4k citations indexed

About

Kay Ahn is a scholar working on Pharmacology, Molecular Biology and Surgery. According to data from OpenAlex, Kay Ahn has authored 18 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Kay Ahn's work include Cannabis and Cannabinoid Research (8 papers), Pancreatic function and diabetes (5 papers) and Forensic Toxicology and Drug Analysis (3 papers). Kay Ahn is often cited by papers focused on Cannabis and Cannabinoid Research (8 papers), Pancreatic function and diabetes (5 papers) and Forensic Toxicology and Drug Analysis (3 papers). Kay Ahn collaborates with scholars based in United States, Belgium and France. Kay Ahn's 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 and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kay Ahn

17 papers receiving 2.4k citations

Hit Papers

SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kay Ahn United States 13 1.2k 765 526 490 448 18 2.4k
Jason E. Savage United States 19 255 0.2× 1.3k 1.8× 407 0.8× 377 0.8× 553 1.2× 38 2.6k
Robert Ramer Germany 29 1.6k 1.3× 670 0.9× 41 0.1× 152 0.3× 310 0.7× 54 2.3k
Huayan Hou United States 22 723 0.6× 790 1.0× 156 0.3× 1.4k 2.9× 438 1.0× 40 2.8k
Philip R. Kym United States 32 292 0.2× 1.5k 1.9× 44 0.1× 706 1.4× 428 1.0× 71 3.5k
Ethan Hoffmann United States 22 230 0.2× 599 0.8× 506 1.0× 293 0.6× 353 0.8× 33 2.1k
Sidharth Mehan India 29 466 0.4× 1.0k 1.3× 44 0.1× 324 0.7× 338 0.8× 123 2.5k
Nadia G. Innamorato Spain 10 527 0.4× 1.5k 1.9× 48 0.1× 346 0.7× 399 0.9× 10 2.5k
Viktor R. Drel United States 27 306 0.2× 543 0.7× 88 0.2× 1.2k 2.5× 271 0.6× 50 2.5k
Geng-Tao Liu China 26 353 0.3× 797 1.0× 50 0.1× 253 0.5× 168 0.4× 86 1.8k
Jiyin Zhou China 23 497 0.4× 470 0.6× 81 0.2× 315 0.6× 146 0.3× 44 1.9k

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 of co-authors of Kay Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Ahn. A scholar is included among the top collaborators of Kay Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kay Ahn. Kay Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kathman, Stefan G., Seong Joo Koo, Hsuan-Lin Her, et al.. (2023). Remodeling oncogenic transcriptomes by small molecules targeting NONO. Nature Chemical Biology. 19(7). 825–836. 49 indexed citations
2.
Wang, Weixue, Laurence Mévellec, Samantha J. Allen, et al.. (2021). Discovery of an Allosteric, Inactive Conformation-Selective Inhibitor of Full-Length HPK1 Utilizing a Kinase Cascade Assay. Biochemistry. 60(41). 3114–3124. 12 indexed citations
4.
Shi, Yifan, Heather E. Murrey, Kay Ahn, Naidong Weng, & Shefali Patel. (2020). LC-MS/MS assay for the simultaneous quantitation of thromboxane B2 and prostaglandin E2 to evaluate cyclooxygenase inhibition in human whole blood. SHILAP Revista de lepidopterología. 6(3). 131–144.
5.
Pabst, Brandon, Kentaro Futatsugi, Qifang Li, & Kay Ahn. (2018). Mechanistic Characterization of Long Residence Time Inhibitors of Diacylglycerol Acyltransferase 2 (DGAT2). Biochemistry. 57(51). 6997–7010. 9 indexed citations
6.
Wang, Weixue, Daniel J. Krosky, & Kay Ahn. (2017). Discovery of Inactive Conformation-Selective Kinase Inhibitors by Utilizing Cascade Assays. Biochemistry. 56(34). 4449–4456. 6 indexed citations
7.
Ward, Jessica, Brandon Pabst, Philip A. Carpino, et al.. (2013). Mechanistic Characterization of a 2-Thioxanthine Myeloperoxidase Inhibitor and Selectivity Assessment Utilizing Click Chemistry–Activity-Based Protein Profiling. Biochemistry. 52(51). 9187–9201. 27 indexed citations
8.
Skaddan, Marc B., Lei Zhang, Douglas S. Johnson, et al.. (2012). The synthesis and in vivo evaluation of [18F]PF-9811: a novel PET ligand for imaging brain fatty acid amide hydrolase (FAAH). Nuclear Medicine and Biology. 39(7). 1058–1067. 25 indexed citations
9.
Hall, Angela, Kou Kou, Zhouji Chen, et al.. (2012). Evidence for regulated monoacylglycerol acyltransferase expression and activity in human liver. Journal of Lipid Research. 53(5). 990–999. 76 indexed citations
10.
Geoghegan, Kieran F., Alison H. Varghese, Xidong Feng, et al.. (2012). Deconstruction of Activity-Dependent Covalent Modification of Heme in Human Neutrophil Myeloperoxidase by Multistage Mass Spectrometry (MS4). Biochemistry. 51(10). 2065–2077. 15 indexed citations
11.
Ahn, Kay, Sarah E. Smith, Marya Liimatta, et al.. (2011). Mechanistic and Pharmacological Characterization of PF-04457845: A Highly Potent and Selective Fatty Acid Amide Hydrolase Inhibitor That Reduces Inflammatory and Noninflammatory Pain. Journal of Pharmacology and Experimental Therapeutics. 338(1). 114–124. 191 indexed citations
12.
Pacholec, Michelle, John E. Bleasdale, Boris A. Chrunyk, et al.. (2010). SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1. Journal of Biological Chemistry. 285(11). 8340–8351. 723 indexed citations breakdown →
13.
Johnson, Douglas S., Cory M. Stiff, Scott E. Lazerwith, et al.. (2010). Discovery of PF-04457845: A Highly Potent, Orally Bioavailable, and Selective Urea FAAH Inhibitor. ACS Medicinal Chemistry Letters. 2(2). 91–96. 148 indexed citations
14.
Ahn, Kay, Douglas S. Johnson, Mauro Mileni, et al.. (2009). Discovery and Characterization of a Highly Selective FAAH Inhibitor that Reduces Inflammatory Pain. Chemistry & Biology. 16(4). 411–420. 373 indexed citations
15.
Johnson, Douglas S., Kay Ahn, Suzanne R. Kesten, et al.. (2009). Benzothiophene piperazine and piperidine urea inhibitors of fatty acid amide hydrolase (FAAH). Bioorganic & Medicinal Chemistry Letters. 19(10). 2865–2869. 59 indexed citations
16.
Ahn, Kay, Douglas S. Johnson, & Benjamin F. Cravatt. (2009). Fatty acid amide hydrolase as a potential therapeutic target for the treatment of pain and CNS disorders. Expert Opinion on Drug Discovery. 4(7). 763–784. 151 indexed citations
17.
Ahn, Kay, Michele K. McKinney, & Benjamin F. Cravatt. (2008). Enzymatic Pathways That Regulate Endocannabinoid Signaling in the Nervous System. Chemical Reviews. 108(5). 1687–1707. 429 indexed citations
18.
Mileni, Mauro, Douglas S. Johnson, Zhigang Wang, et al.. (2008). Structure-guided inhibitor design for human FAAH by interspecies active site conversion. Proceedings of the National Academy of Sciences. 105(35). 12820–12824. 127 indexed citations

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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