James Wen
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
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- Protease and Inhibitor Mechanisms
Papers in
-
- Chemical Synthesis and Analysis 6
- DNA and Nucleic Acid Chemistry 1
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- Click Chemistry and Applications 3
- Carbohydrate Chemistry and Synthesis 3
- Synthetic Organic Chemistry Methods 2
- Co-authors
- Craig M. Crews (3 shared papers)William G. Bornmann (1 shared paper)Lihao Meng (1 shared paper)Ny Sin (1 shared paper)Arno F. Spatola (3 shared papers)Andrew G. Cole (1 shared paper)Gulzar Ahmed (1 shared paper)Ian Henderson (1 shared paper)
- Journals
- Tetrahedron Letters (3 papers)Laboratory Investigation (1 paper)Proceedings of the National Academy of Sciences (1 paper)Tetrahedron Asymmetry (1 paper)Molecular Diversity (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
James Wen
9 papers receiving 592 citations
James Wen's Hit Papers
Peers
Comparison fields: 5 of 67
- Oncology 343
- Cancer Research 109
- Molecular Biology 388
- Cellular and Molecular Neuroscience 100
- Parasitology 31
Countries citing papers authored by James Wen
This map shows the geographic impact of James Wen'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 James Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Wen more than expected).
Fields of papers citing papers by James Wen
This network shows the impact of papers produced by James Wen. 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 James Wen. The network helps show where James Wen may publish in the future.
Co-authors
The 17 scholars most cited alongside James Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The anti-angiogenic agent fumagillin covalently binds and inhibits the methionine aminopeptidase, MetAP-2 Hit paper breakdown → | 1997 | 533 |
| 2 | 1998 | 44 | |
| 3 | 1997 | 18 | |
| 4 | 2006 | 9 | |
| 5 | 1997 | 3 | |
| 6 | 2025 | 3 | |
| 7 | 1998 | 3 | |
| 8 | 2005 | 1 | |
| 9 | 2024 | 1 |
About James Wen
James Wen is a scholar working on Molecular Biology, Organic Chemistry, Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 615 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Click Chemistry and Applications (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Synthetic Organic Chemistry Methods (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Oncology (343 citations), Cancer Research (109 citations), Molecular Biology (388 citations), Cellular and Molecular Neuroscience (100 citations) and Parasitology (31 citations). James Wen has collaborated with scholars based in United States and Italy. Frequent co-authors include Craig M. Crews, William G. Bornmann, Lihao Meng, Ny Sin, Arno F. Spatola, Andrew G. Cole, Gulzar Ahmed, Ian Henderson, Philip Andrews and Axel Metzger. Their work appears in journals such as Tetrahedron Letters, Laboratory Investigation, Proceedings of the National Academy of Sciences, Tetrahedron Asymmetry and Molecular Diversity.
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.