Wupeng Yan
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Sulfur Compounds in Biology
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
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- Enzyme function and inhibition 3
- Polyamine Metabolism and Applications 1
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- Amino Acid Enzymes and Metabolism 3
- Co-authors
- Yan Zhang (5 shared papers)Everett Stone (3 shared papers)John DiGiovanni (2 shared papers)George Georgiou (2 shared papers)Achinto Saha (2 shared papers)Candice Lamb (2 shared papers)Stefano Tiziani (2 shared papers)Michael J. Keating (1 shared paper)
- Journals
- Biochemistry (2 papers)Nature Medicine (1 paper)ACS Catalysis (1 paper)Catalysis Science & Technology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Wupeng Yan
8 papers receiving 594 citations
Wupeng Yan's Hit Papers
Peers
Comparison fields: 5 of 73
- Biochemistry 106
- Cancer Research 183
- Pulmonary and Respiratory Medicine 180
- Biotechnology 50
- Molecular Biology 312
Countries citing papers authored by Wupeng Yan
This map shows the geographic impact of Wupeng Yan'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 Wupeng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wupeng Yan more than expected).
Fields of papers citing papers by Wupeng Yan
This network shows the impact of papers produced by Wupeng Yan. 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 Wupeng Yan. The network helps show where Wupeng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wupeng Yan, 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 | Systemic depletion of L-cyst(e)ine with cyst(e)inase increases reactive oxygen species and suppresses tumor growth Hit paper breakdown → | 2016 | 446 |
| 2 | 2018 | 40 | |
| 3 | 2020 | 39 | |
| 4 | 2013 | 24 | |
| 5 | 2011 | 18 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2017 | 6 | |
| 9 | 2024 | 0 |
About Wupeng Yan
Wupeng Yan is a scholar working on Molecular Biology, Biochemistry, Pharmacology, Biotechnology and Inorganic Chemistry, having authored 9 papers that have together received 599 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (3 papers), Enzyme function and inhibition (3 papers), Phytochemistry and Bioactivity Studies (2 papers), Cancer Research and Treatments (2 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Biomedical Research and Pathophysiology (1 paper) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Biochemistry (106 citations), Cancer Research (183 citations), Pulmonary and Respiratory Medicine (180 citations), Biotechnology (50 citations) and Molecular Biology (312 citations). Wupeng Yan has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Yan Zhang, Everett Stone, John DiGiovanni, George Georgiou, Achinto Saha, Candice Lamb, Stefano Tiziani, Michael J. Keating, Peng Huang and Surendar Tadi. Their work appears in journals such as Biochemistry, Nature Medicine, ACS Catalysis, Catalysis Science & Technology and Proceedings of the National Academy of Sciences.
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.