Wu Du

2.5k citations
36 papers · 2.1k · h-index 20

Impact in

  • Toxicology top 1%
    • Bioactive Compounds and Antitumor Agents
    • Catalytic C–H Functionalization Methods
    • Asymmetric Synthesis and Catalysis

Papers in

    • Catalytic C–H Functionalization Methods 4
    • Synthesis and Biological Evaluation 4
    • Bioactive Compounds and Antitumor Agents 4

Wu Du

36 papers receiving 2.1k citations

Peers

Wu Du
Comparison fields: 5 of 96
  • Toxicology 177
  • Organic Chemistry 850
  • Pharmacology 350
  • Oncology 469
  • Molecular Biology 1.0k
Replace Gregory D. Vite with:
Gregory D. Vite United States
Akira Asai Japan
Loredana Vesci Italy
Hubert B. Josien United States
Randall W. Hungate United States
John H. Hutchinson United States
Toshimasa Tanaka Japan
S. David Kimball United States
Siavosh Mahboobi Germany
Mario G. Cardozo United States
Wu Du relative to Gregory D. Vite United States Gregory D. Vite's profile →
Citations per field
00.5×1.7×
Gregory D. Vite · 1×
Citations per year

Countries citing papers authored by Wu Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wu Du Line = papers co-authored together Wu Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013419
2 2001209
3 2004201
4 2003181
5 2000143
6 2003101
7 200599
8 201995
9 200288
10 200773
11 202068
12 201257
13 200243
14 200337
15 200231
16 200227
17 200427
18 200325
19 201823
20 200020

About Wu Du

Wu Du is a scholar working on Organic Chemistry, Toxicology, Pharmacology, Molecular Biology and Oncology, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), Cannabis and Cannabinoid Research (5 papers), Protein Degradation and Inhibitors (4 papers), Catalytic C–H Functionalization Methods (4 papers), Synthesis and Biological Evaluation (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), Pancreatic function and diabetes (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Toxicology (177 citations), Organic Chemistry (850 citations), Pharmacology (350 citations), Oncology (469 citations) and Molecular Biology (1.0k citations). Wu Du has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dennis P. Curran, Dale L. Boger, Inkyu Hwang, Benjamin F. Cravatt, Donmienne Leung, Heng Wei Cheng, Christophe Hardouin, Masakatsu Shibasaki, Kazuo Yabu and Shuji Masumoto. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Bioorganic & Medicinal 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.

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