Wu Du
Impact in
- Toxicology top 1%
- Bioactive Compounds and Antitumor Agents
- Organic Chemistry top 2%
- Catalytic C–H Functionalization Methods
- Asymmetric Synthesis and Catalysis
- Synthesis and Biological Evaluation
Papers in
-
- Cancer therapeutics and mechanisms 11
- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 3
-
- Catalytic C–H Functionalization Methods 6
- Co-authors
- Dennis P. Curran (14 shared papers)Dale L. Boger (5 shared papers)Inkyu Hwang (4 shared papers)Benjamin F. Cravatt (3 shared papers)Donmienne Leung (3 shared papers)Heng Cheng (3 shared papers)Christophe Hardouin (3 shared papers)Shuji Masumoto (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Medicinal Chemistry (4 papers)Cancer Research (3 papers)Bioorganic & Medicinal Chemistry (3 papers)Tetrahedron (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Wu Du
35 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 97
- Toxicology 168
- Organic Chemistry 784
- Pharmacology 325
- Oncology 424
- Molecular Biology 935
Countries citing papers authored by Wu Du
This map shows the geographic impact of Wu Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Du more than expected).
Fields of papers citing papers by Wu Du
This network shows the impact of papers produced by Wu Du. 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 Du. The network helps show where Wu Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Du, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 381 | |
| 2 | 2001 | 198 | |
| 3 | 2004 | 188 | |
| 4 | 2003 | 166 | |
| 5 | 2000 | 134 | |
| 6 | 2003 | 96 | |
| 7 | 2005 | 93 | |
| 8 | 2019 | 89 | |
| 9 | 2002 | 88 | |
| 10 | 2007 | 67 | |
| 11 | 2020 | 65 | |
| 12 | 2012 | 52 | |
| 13 | 2002 | 41 | |
| 14 | 2003 | 36 | |
| 15 | 2002 | 29 | |
| 16 | 2004 | 28 | |
| 17 | 2002 | 24 | |
| 18 | 2003 | 21 | |
| 19 | 2007 | 18 | |
| 20 | 2000 | 17 |
About Wu Du
Wu Du is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Pharmacology and Toxicology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (11 papers), Protein Degradation and Inhibitors (6 papers), Catalytic C–H Functionalization Methods (6 papers), Cannabis and Cannabinoid Research (5 papers), Bioactive Compounds and Antitumor Agents (5 papers), Ubiquitin and proteasome pathways (3 papers), Peptidase Inhibition and Analysis (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Toxicology (168 citations), Organic Chemistry (784 citations), Pharmacology (325 citations), Oncology (424 citations) and Molecular Biology (935 citations). Wu Du has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dennis P. Curran, Dale L. Boger, Inkyu Hwang, Benjamin F. Cravatt, Donmienne Leung, Heng Cheng, Christophe Hardouin, Shuji Masumoto, Kazuo Yabu and Masakatsu Shibasaki. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Cancer Research, Bioorganic & Medicinal Chemistry and Tetrahedron.
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.