Wengen Wu
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
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- Protease and Inhibitor Mechanisms
Papers in
- Oncology 16
- Peptidase Inhibition and Analysis 16
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- Signaling Pathways in Disease 3
- Chemical Synthesis and Analysis 3
- Co-authors
- Jack H. Lai (19 shared papers)William W. Bachovchin (18 shared papers)David G. Sanford (9 shared papers)Sarah E. Poplawski (8 shared papers)James L. Sudmeier (8 shared papers)Todd R. Golub (2 shared papers)Daniel A. Bachovchin (2 shared papers)Zhiping Jin (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Nature Chemical Biology (2 papers)Chinese Journal of Chemistry (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wengen Wu
23 papers receiving 809 citations
Peers
Comparison fields: 5 of 74
- Oncology 353
- Cancer Research 134
- Molecular Biology 480
- Cellular and Molecular Neuroscience 127
- Organic Chemistry 172
Countries citing papers authored by Wengen Wu
This map shows the geographic impact of Wengen 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 Wengen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wengen Wu more than expected).
Fields of papers citing papers by Wengen Wu
This network shows the impact of papers produced by Wengen 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 Wengen Wu. The network helps show where Wengen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wengen 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 226 | |
| 2 | 2013 | 88 | |
| 3 | 2011 | 70 | |
| 4 | 2014 | 60 | |
| 5 | 2008 | 60 | |
| 6 | 2016 | 54 | |
| 7 | 2015 | 48 | |
| 8 | 2003 | 27 | |
| 9 | 2023 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2013 | 17 | |
| 14 | 2001 | 16 | |
| 15 | 2007 | 13 | |
| 16 | 2005 | 13 | |
| 17 | 2013 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2000 | 11 | |
| 20 | 2012 | 10 |
About Wengen Wu
Wengen Wu is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry and Cancer Research, having authored 23 papers that have together received 821 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (16 papers), Neuropeptides and Animal Physiology (8 papers), Protease and Inhibitor Mechanisms (5 papers), Signaling Pathways in Disease (3 papers), Chemical Synthesis and Analysis (3 papers), Ferrocene Chemistry and Applications (3 papers), Organoboron and organosilicon chemistry (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Oncology (353 citations), Cancer Research (134 citations), Molecular Biology (480 citations), Cellular and Molecular Neuroscience (127 citations) and Organic Chemistry (172 citations). Wengen Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jack H. Lai, William W. Bachovchin, David G. Sanford, Sarah E. Poplawski, James L. Sudmeier, Todd R. Golub, Daniel A. Bachovchin, Zhiping Jin, Yuhong Zhou and Youhua Li. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Nature Chemical Biology, Chinese Journal of Chemistry and Journal of the American Chemical Society.
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.