Kenneth K. Wu
Impact in
- Internal Medicine top 0.5%
- Hematology top 0.2%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Pharmacology 81
- Inflammatory mediators and NSAID effects 74
- Co-authors
- W.T. GodbeyAntonios G. MikosAaron R. FolsomJun‐Yang LiouWuguo DengLloyd E. ChamblessJ C HoakNena Aleksic
- Journals
- Journal of Biological Chemistry (27 papers)Circulation (14 papers)Thrombosis and Haemostasis (13 papers)PLoS ONE (12 papers)Arteriosclerosis Thrombosis and Vascular Biology (11 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Kenneth K. Wu
274 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Internal Medicine 930
- Hematology 2.2k
- Biochemistry 1.1k
- Cardiology and Cardiovascular Medicine 3.1k
- Pharmacology 2.0k
Countries citing papers authored by Kenneth K. Wu
This map shows the geographic impact of Kenneth K. Wu'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 Kenneth K. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth K. Wu more than expected).
Fields of papers citing papers by Kenneth K. Wu
This network shows the impact of papers produced by Kenneth K. Wu. 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 Kenneth K. Wu. The network helps show where Kenneth K. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth K. Wu, 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 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2016 | 32 | |
| 4 | 2016 | 69 | |
| 5 | 2012 | 98 | |
| 6 | 2010 | 8 | |
| 7 | 2009 | 36 | |
| 8 | 2003 | 24 | |
| 9 | 2003 | 30 | |
| 10 | Phase I trial of the angiogenesis inhibitor TNP-470 for progressive androgen-independent prostate cancer. | 2001 | 117 |
| 11 | 2001 | 82 | |
| 12 | 2001 | 61 | |
| 13 | 2000 | 56 | |
| 14 | 1996 | 9 | |
| 15 | 1996 | 57 | |
| 16 | 1995 | 100 | |
| 17 | 1994 | 14 | |
| 18 | 1992 | 19 | |
| 19 | 1991 | 289 | |
| 20 | 1989 | 79 |
About Kenneth K. Wu
Kenneth K. Wu is a scholar working on Internal Medicine, Pharmacology, Hematology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 277 papers that have together received 18.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (74 papers), Estrogen and related hormone effects (37 papers), Eicosanoids and Hypertension Pharmacology (33 papers), Blood properties and coagulation (32 papers), Blood Coagulation and Thrombosis Mechanisms (28 papers), Platelet Disorders and Treatments (26 papers), Antiplatelet Therapy and Cardiovascular Diseases (25 papers) and Nitric Oxide and Endothelin Effects (22 papers). The work is most often cited by research in Internal Medicine (930 citations), Hematology (2.2k citations), Biochemistry (1.1k citations), Cardiology and Cardiovascular Medicine (3.1k citations) and Pharmacology (2.0k citations). Kenneth K. Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include W.T. Godbey, Antonios G. Mikos, Aaron R. Folsom, Jun‐Yang Liou, Wuguo Deng, Lloyd E. Chambless, J C Hoak, Nena Aleksic, Gerardo Heiss and A. Richey Sharrett. Their work appears in journals such as Journal of Biological Chemistry, Circulation, Thrombosis and Haemostasis, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.
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.