Kenneth K. Wu
- Molecular Biology top 10%
- Surgery top 10%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Youming HuanB. Linju YenTzong‐Shyuan LeeJun‐Yang LiouSong‐Kun ShyueShu‐Hui JuanKuang‐Wen TsengLee‐Young Chau
- Topics
- Inflammatory mediators and NSAID effects (7 papers)Venous Thromboembolism Diagnosis and Management (6 papers)Nitric Oxide and Endothelin Effects (4 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Kenneth K. Wu
46 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 853
- Surgery 446
- Genetics 351
- Endocrinology, Diabetes and Metabolism 278
- Immunology 277
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-authorship network of co-authors of Kenneth K. Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth K. Wu. A scholar is included among the top collaborators of Kenneth K. Wu 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 Kenneth K. Wu. Kenneth K. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Human mesenchymal stem cells (MSCs) for treatment towards immune- and inflammation-mediated diseases: review of current clinical trialsbreakdown → | 267 |
| 3 | 54 | |
| 4 | 30 | |
| 5 | 33 | |
| 6 | 16 | |
| 7 | 21 | |
| 8 | 99 | |
| 9 | 16 | |
| 10 | 24 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | 22 | |
| 16 | 101 | |
| 17 | Gene therapy to restore prostacyclin presence to injured endothelium. | 2 |
| 18 | 10 | |
| 19 | Pathophysiology and management of thromboembolic disorders | 3 |
| 20 | 4 |
About Kenneth K. Wu
Kenneth K. Wu is a scholar working on Internal Medicine, Hematology and Cancer Research, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Genetics (351 citations), Biochemistry (170 citations) and Endocrinology, Diabetes and Metabolism (278 citations). Kenneth K. Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Youming Huan, B. Linju Yen, Tzong‐Shyuan Lee, Jun‐Yang Liou, Song‐Kun Shyue, Shu‐Hui Juan, Kuang‐Wen Tseng, Lee‐Young Chau, Li‐Tzu Wang and Ming‐Shyen Yen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.
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.