Xinyi Wu
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- Cancer Research top 10%
Papers in
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- Antimicrobial Peptides and Activities 5
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- PI3K/AKT/mTOR signaling in cancer 3
- Biochemical and Structural Characterization 3
- Co-authors
- Young E. Whang (4 shared papers)Charles L. Sawyers (4 shared papers)Mehran S. Neshat (1 shared paper)JONATHAN W. SAID (1 shared paper)Robert L. Vessella (1 shared paper)William B. Isaacs (1 shared paper)Chris Tran (1 shared paper)Hiroyoshi Suzuki (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Ophthalmic Research (2 papers)European Journal of Medicinal Chemistry (2 papers)IEEE Transactions on Affective Computing (1 paper)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xinyi Wu
70 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.3k
- Cancer Research 247
- Oncology 393
- Genetics 130
- Pulmonary and Respiratory Medicine 294
Countries citing papers authored by Xinyi Wu
This map shows the geographic impact of Xinyi 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 Xinyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyi Wu more than expected).
Fields of papers citing papers by Xinyi Wu
This network shows the impact of papers produced by Xinyi 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 Xinyi Wu. The network helps show where Xinyi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinyi 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 568 | |
| 2 | 1998 | 559 | |
| 3 | 2000 | 345 | |
| 4 | 2022 | 118 | |
| 5 | 2021 | 75 | |
| 6 | 2016 | 40 | |
| 7 | 2003 | 38 | |
| 8 | 2024 | 32 | |
| 9 | 2018 | 28 | |
| 10 | 2024 | 28 | |
| 11 | 2024 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2009 | 25 | |
| 14 | 2022 | 23 | |
| 15 | 1998 | 22 | |
| 16 | 2001 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2020 | 17 | |
| 19 | 2022 | 15 | |
| 20 | 2015 | 14 |
About Xinyi Wu
Xinyi Wu is a scholar working on Microbiology, Molecular Biology, Artificial Intelligence, Hematology and Computational Theory and Mathematics, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Antimicrobial Peptides and Activities (5 papers), Metaheuristic Optimization Algorithms Research (4 papers), Hemophilia Treatment and Research (4 papers), Topic Modeling (3 papers), Ovarian function and disorders (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (247 citations), Oncology (393 citations), Genetics (130 citations) and Pulmonary and Respiratory Medicine (294 citations). Xinyi Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Young E. Whang, Charles L. Sawyers, Mehran S. Neshat, JONATHAN W. SAID, Robert L. Vessella, William B. Isaacs, Chris Tran, Hiroyoshi Suzuki, Robert Evan Reiter and Xiu‐Juan Yuan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Ophthalmic Research, European Journal of Medicinal Chemistry, IEEE Transactions on Affective Computing and Analytical and Bioanalytical Chemistry.
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.