Weishi Yuan
- Genetics top 0.1%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Bert VogelsteinVictor E. VelculescuKenneth W. KinzlerJames E. HerndonB. Ahmed RasheedGenglin JinAllan H. FriedmanGregory J. Riggins
- Topics
- Colorectal Cancer Treatments and Studies (4 papers)Cancer Genomics and Diagnostics (4 papers)Acute Myeloid Leukemia Research (2 papers)
- Cited by
- GeneticsCancer ResearchOncology
- Partner nations
- United StatesSpainItaly
In The Last Decade
Weishi Yuan
19 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 2.9k
- Molecular Biology 2.6k
- Cancer Research 2.1k
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 975
Countries citing papers authored by Weishi Yuan
This map shows the geographic impact of Weishi Yuan'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 Weishi Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weishi Yuan more than expected).
Fields of papers citing papers by Weishi Yuan
This network shows the impact of papers produced by Weishi Yuan. 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 Weishi Yuan. The network helps show where Weishi Yuan may publish in the future.
Co-authorship network of co-authors of Weishi Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Weishi Yuan. A scholar is included among the top collaborators of Weishi Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weishi Yuan. Weishi Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 61 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | FDA Approval Summary: Tocilizumab for Treatment of Chimeric Antigen Receptor T Cell-Induced Severe or Life-Threatening Cytokine Release Syndromebreakdown → | 610 |
| 8 | 28 | |
| 9 | 2 | |
| 10 | 172 | |
| 11 | 35 | |
| 12 | 183 | |
| 13 | 39 | |
| 14 | 100 | |
| 15 | IDH1andIDH2Mutations in Gliomasbreakdown → | 4242 |
| 16 | 19 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Allelic Variation in Human Gene Expressionbreakdown → | 546 |
| 20 | 200 |
About Weishi Yuan
Weishi Yuan is a scholar working on Genetics, Cancer Research and Hematology, having authored 20 papers that have together received 6.3k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Cancer Genomics and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (2.9k citations), Cancer Research (2.1k citations) and Oncology (1.3k citations). Weishi Yuan has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Bert Vogelstein, Victor E. Velculescu, Kenneth W. Kinzler, James E. Herndon, B. Ahmed Rasheed, Genglin Jin, Allan H. Friedman, Gregory J. Riggins, Roger E. McLendon and Henry S. Friedman. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.