Wu Yang
Impact in
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Catalytic Cross-Coupling Reactions
- Synthesis and biological activity
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- Parathyroid Disorders and Treatments
Papers in
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- 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)Zhengping Ma (5 shared papers)Ramakrishna Seethala (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)Journal of Pharmaceutical Sciences (1 paper)Organic Letters (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Wu Yang
21 papers receiving 435 citations
Peers
Comparison fields: 5 of 77
- Organic Chemistry 158
- Nephrology 36
- Pharmaceutical Science 22
- Physiology 15
- Endocrine and Autonomic Systems 20
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 66 | |
| 2 | 2003 | 53 | |
| 3 | 2009 | 47 | |
| 4 | 2005 | 44 | |
| 5 | 2006 | 42 | |
| 6 | 2004 | 38 | |
| 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 | 2012 | 4 | |
| 16 | 2007 | 4 | |
| 17 | 2004 | 4 | |
| 18 | 2013 | 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 21 papers that have together received 458 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Adenosine and Purinergic Signaling (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Bone health and treatments (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Organic Chemistry (158 citations), Nephrology (36 citations), Pharmaceutical Science (22 citations), Physiology (15 citations) and Endocrine and Autonomic Systems (20 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, Zhengping Ma, Ramakrishna Seethala, Sukhanya Jayachandra, Stephen P Adams, Lauren E. Barber and Umesh Hanumegowda. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, Organic Letters and Endocrinology.
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.