Wu Yang
Impact in
- Nephrology top 10%
- Parathyroid Disorders and Treatments
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Catalytic Cross-Coupling Reactions
- Synthesis and biological activity
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Jean H.M. Feyen (7 shared papers)Yufeng Wang (2 shared papers)James R. Corte (3 shared papers)John K. Dickson (6 shared papers)Ramakrishna Seethala (5 shared papers)Zhengping Ma (5 shared papers)Sukhanya Jayachandra (1 shared paper)Stephen P Adams (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (2 papers)Molecules (2 papers)Assay and Drug Development Technologies (1 paper)European Heart Journal (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Wu Yang
21 papers receiving 437 citations
Peers
Comparison fields: 5 of 76
- Nephrology 40
- Organic Chemistry 159
- Internal Medicine 11
- Pharmaceutical Science 21
- Physiology 15
Countries citing papers authored by Wu Yang
This map shows the geographic impact of Wu Yang'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 Wu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Yang more than expected).
Fields of papers citing papers by Wu Yang
This network shows the impact of papers produced by Wu Yang. 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 Wu Yang. The network helps show where Wu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 66 | |
| 2 | 2003 | 54 | |
| 3 | 2009 | 47 | |
| 4 | 2005 | 44 | |
| 5 | 2006 | 42 | |
| 6 | 2004 | 39 | |
| 7 | 2014 | 38 | |
| 8 | 2004 | 27 | |
| 9 | 2005 | 22 | |
| 10 | 2016 | 16 | |
| 11 | 2014 | 14 | |
| 12 | 2017 | 12 | |
| 13 | 2006 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2007 | 4 | |
| 18 | 2004 | 4 | |
| 19 | 2018 | 2 | |
| 20 | 2021 | 2 |
About Wu Yang
Wu Yang is a scholar working on Molecular Biology, Organic Chemistry, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Physiology, having authored 22 papers that have together received 460 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Bone health and treatments (2 papers), Adenosine and Purinergic Signaling (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Nephrology (40 citations), Organic Chemistry (159 citations), Internal Medicine (11 citations), Pharmaceutical Science (21 citations) and Physiology (15 citations). Wu Yang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jean H.M. Feyen, Yufeng Wang, James R. Corte, John K. Dickson, Ramakrishna Seethala, Zhengping Ma, Sukhanya Jayachandra, Stephen P Adams, Umesh Hanumegowda and Lauren E. Barber. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Molecules, Assay and Drug Development Technologies and European Heart Journal.
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.