Kenneth K. Wu

5.5k total citations · 1 hit paper
47 papers, 2.3k citations indexed

About

Kenneth K. Wu is a scholar working on Molecular Biology, Pharmacology and Hematology. According to data from OpenAlex, Kenneth K. Wu has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Pharmacology and 8 papers in Hematology. Recurrent topics in Kenneth K. Wu's work include Inflammatory mediators and NSAID effects (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). Kenneth K. Wu is often cited by papers focused on Inflammatory mediators and NSAID effects (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). Kenneth K. Wu collaborates with scholars based in United States, Taiwan and China. Kenneth K. Wu's co-authors include Youming Huan, B. Linju Yen, Jun‐Yang Liou, Tzong‐Shyuan Lee, Lee‐Young Chau, Shu‐Hui Juan, Kuang‐Wen Tseng, Song‐Kun Shyue, Huey‐Kang Sytwu and Ming‐Shyen Yen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

In The Last Decade

Kenneth K. Wu

46 papers receiving 2.2k citations

Hit Papers

Human mesenchymal stem cells (MSCs) for treatment towards... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth K. Wu United States 21 853 446 351 278 277 47 2.3k
Mingyuan Wu China 30 977 1.1× 462 1.0× 236 0.7× 442 1.6× 395 1.4× 107 3.8k
Maria Bertolotto Italy 28 578 0.7× 358 0.8× 352 1.0× 188 0.7× 872 3.1× 88 2.6k
J. C. Giddings United Kingdom 30 348 0.4× 353 0.8× 411 1.2× 130 0.5× 224 0.8× 138 3.0k
Rujun Gong United States 38 1.6k 1.8× 526 1.2× 154 0.4× 307 1.1× 439 1.6× 102 3.8k
Natalia de las Heras Spain 30 1.1k 1.3× 502 1.1× 277 0.8× 478 1.7× 298 1.1× 107 3.2k
Mateusz Kurzawski Poland 32 663 0.8× 360 0.8× 200 0.6× 109 0.4× 319 1.2× 158 3.1k
Janja Marc Slovenia 30 1.6k 1.8× 315 0.7× 143 0.4× 313 1.1× 208 0.8× 145 3.2k
Sun Woo Lim South Korea 32 999 1.2× 564 1.3× 96 0.3× 275 1.0× 274 1.0× 106 2.8k
Assunta Pandolfi Italy 32 1.4k 1.7× 491 1.1× 183 0.5× 408 1.5× 565 2.0× 109 3.6k
J Fabre France 22 664 0.8× 320 0.7× 101 0.3× 101 0.4× 190 0.7× 46 1.8k

Countries citing papers authored by Kenneth K. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Wang, Li‐Tzu, Ming‐Shyen Yen, Ko‐Jiunn Liu, et al.. (2016). Human mesenchymal stem cells (MSCs) for treatment towards immune- and inflammation-mediated diseases: review of current clinical trials. Journal of Biomedical Science. 23(1). 76–76. 267 indexed citations breakdown →
3.
Huang, Tzu‐Ting, David H. Peng, Hsin‐Fu Chen, et al.. (2011). Exacerbation of Oxidative Stress-Induced Cell Death and Differentiation in Induced Pluripotent Stem Cells Lacking Heme Oxygenase-1. Stem Cells and Development. 21(10). 1675–1687. 33 indexed citations
4.
Shen, Hong C., Michael J. Szymonifka, Qiaolin Deng, et al.. (2007). Discovery of orally bioavailable and novel urea agonists of the high affinity niacin receptor GPR109A. Bioorganic & Medicinal Chemistry Letters. 17(24). 6723–6728. 16 indexed citations
5.
Goldsby, Jennifer S., et al.. (2007). Prostacyclin receptor signaling and early embryo development in the mouse. Human Reproduction. 22(11). 2851–2856. 21 indexed citations
6.
Cheng, Kang, Tsuei-Ju Wu, Kenneth K. Wu, et al.. (2006). Antagonism of the prostaglandin D 2 receptor 1 suppresses nicotinic acid-induced vasodilation in mice and humans. Proceedings of the National Academy of Sciences. 103(17). 6682–6687. 222 indexed citations
7.
Wu, Kenneth K. & Youming Huan. (2006). Diabetic atherosclerosis mouse models. Atherosclerosis. 191(2). 241–249. 99 indexed citations
8.
Jiang, Lihong, et al.. (2005). Association of 22q11 deletion with isolated congenital heart disease in three Chinese ethnic groups. International Journal of Cardiology. 105(2). 216–223. 16 indexed citations
9.
Knuiman, Matthew, Aaron R. Folsom, Lloyd E. Chambless, Duanping Liao, & Kenneth K. Wu. (2001). Association of Hemostatic Variables with MRI-Detected Cerebral Abnormalities: The Atherosclerosis Risk in Communities Study. Neuroepidemiology. 20(2). 96–104. 24 indexed citations
10.
Thiagarajan, Perumal & Kenneth K. Wu. (1999). Mechanisms of Antithrombotic Drugs. Advances in pharmacology. 46. 297–324. 10 indexed citations
11.
Wu, Kenneth K.. (1997). Prostacyclin and nitric oxide-related gene transfer in preventing arterial thrombosis and restenosis. Birkhäuser Basel eBooks. 48. 107–123. 20 indexed citations
12.
McPhedran, Peter, et al.. (1996). Bleeding disorder due to platelet prostaglandin H synthase‐1 (PGHS‐1) deficiency. British Journal of Haematology. 92(1). 212–217. 22 indexed citations
13.
Willerson, James T., Pierre Zoldhelyi, R S Meidell, et al.. (1995). Gene therapy to restore prostacyclin presence to injured endothelium.. PubMed. 106. 100–7; discussion 107. 2 indexed citations
14.
Wang, Lee‐Ho, Kazuteru Ohashi, & Kenneth K. Wu. (1991). Isolation of partial complementary DNA encoding human thromboxane synthase. Biochemical and Biophysical Research Communications. 177(1). 286–291. 10 indexed citations
15.
Wu, Kenneth K.. (1984). Pathophysiology and management of thromboembolic disorders. 3 indexed citations
16.
Wu, Kenneth K., et al.. (1978). Stimulation of platelet surface sialyltransferase activity by platelet aggregating agents. Thrombosis Research. 13(2). 183–192. 11 indexed citations
17.
Wu, Kenneth K., et al.. (1976). Pleural Fluid Lysozyme in Human Disease. Experimental Biology and Medicine. 152(1). 132–134. 6 indexed citations
18.
Jacobsen, Carl Ditlef, et al.. (1975). Fibrinogen-fibrin related antigen pattern in human blood. Incomplete lysis of whole blood clots by Urokinase. Thrombosis Research. 6(4). 327–336.
19.
Wu, Kenneth K. & C. Patrick Burns. (1974). Leukemic pleural infiltrates during bone marrow remission of acute myelocytic leukemia. Cancer. 33(4). 1179–1182. 4 indexed citations
20.
Wu, Kenneth K., Carl Ditlef Jacobsen, & J C Hoak. (1973). Highly sensitive method for the assay of plasminogen.. PubMed. 81(3). 484–8. 9 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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