Shawn Yu
Impact in
- Pharmacology top 0.5%
- Inflammatory mediators and NSAID effects
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- Inflammatory mediators and NSAID effects 7
-
- Diabetes Treatment and Management 5
- Diabetes Management and Research 3
- Co-authors
- Gilbert GeisPeter C. IsaksonWilliam W. ZhaoRichard C. HubbardKenneth M. VerburgAlan KivitzDavid Y. GrahamArthur L. Weaver
- Journals
- Journal of Clinical Oncology (2 papers)Human Gene Therapy (1 paper)JAMA (1 paper)Journal of Industrial Microbiology & Biotechnology (1 paper)Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Shawn Yu
24 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Pharmacology 1.2k
- Rheumatology 283
- Pharmacology 155
- Biochemistry 126
- Cardiology and Cardiovascular Medicine 367
Countries citing papers authored by Shawn Yu
This map shows the geographic impact of Shawn Yu'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 Shawn Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Yu more than expected).
Fields of papers citing papers by Shawn Yu
This network shows the impact of papers produced by Shawn Yu. 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 Shawn Yu. The network helps show where Shawn Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn Yu, 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 | 2024 | 20 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 7 | |
| 5 | 2014 | 2 | |
| 6 | 2013 | 50 | |
| 7 | 2013 | 68 | |
| 8 | 2013 | 28 | |
| 9 | 2006 | 39 | |
| 10 | 2005 | 1 | |
| 11 | 2002 | 159 | |
| 12 | 2001 | 59 | |
| 13 | 2000 | 294 | |
| 14 | 2000 | 29 | |
| 15 | 2000 | 48 | |
| 16 | 1999 | 291 | |
| 17 | 1999 | 82 | |
| 18 | Anti-inflammatory and Upper Gastrointestinal Effects of Celecoxib in Rheumatoid Arthritis Hit paper breakdown → | 1999 | 636 |
| 19 | 1998 | 70 | |
| 20 | 1998 | 13 |
About Shawn Yu
Shawn Yu is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Modeling and Simulation and Health Information Management, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Synthesis of β-Lactam Compounds (5 papers), Diabetes Treatment and Management (5 papers), Neuropeptides and Animal Physiology (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Diabetes Management and Research (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Pharmacology (1.2k citations), Rheumatology (283 citations), Pharmacology (155 citations), Biochemistry (126 citations) and Cardiology and Cardiovascular Medicine (367 citations). Shawn Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Gilbert Geis, Peter C. Isakson, William W. Zhao, Richard C. Hubbard, Kenneth M. Verburg, Alan Kivitz, David Y. Graham, Arthur L. Weaver, Peter E. Lipsky and Lee S. Simon. Their work appears in journals such as Journal of Clinical Oncology, Human Gene Therapy, JAMA, Journal of Industrial Microbiology & Biotechnology and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.
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.