Yue Webster
Impact in
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- Computational Drug Discovery Methods
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- Pharmacogenetics and Drug Metabolism
Papers in
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- Bioinformatics and Genomic Networks 7
- Biomedical Text Mining and Ontologies 4
- Gene expression and cancer classification 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Ian A. Watson (2 shared papers)James Stevens (3 shared papers)Jeffrey J. Sutherland (3 shared papers)George H. Searfoss (1 shared paper)Jon A. Erickson (2 shared papers)Michal Vieth (2 shared papers)Richard E. Higgs (2 shared papers)Armando R. Irizarry (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Archives of Toxicology (1 paper)Journal of Medicinal Chemistry (1 paper)Drug Discovery Today (1 paper)Toxicological Sciences (1 paper)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Yue Webster
15 papers receiving 323 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 107
- Pharmacology 25
- Cancer Research 38
- Molecular Biology 170
- Oncology 61
Countries citing papers authored by Yue Webster
This map shows the geographic impact of Yue Webster'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 Yue Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Webster more than expected).
Fields of papers citing papers by Yue Webster
This network shows the impact of papers produced by Yue Webster. 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 Yue Webster. The network helps show where Yue Webster may publish in the future.
Co-authors
The 25 scholars most cited alongside Yue Webster, 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 | 2017 | 66 | |
| 2 | 2018 | 49 | |
| 3 | 2017 | 40 | |
| 4 | 2009 | 35 | |
| 5 | 2009 | 34 | |
| 6 | 2011 | 32 | |
| 7 | 2009 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 9 | |
| 11 | 2003 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2015 | 1 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 1 |
About Yue Webster
Yue Webster is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 327 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (6 papers), Biomedical Text Mining and Ontologies (4 papers), Semantic Web and Ontologies (3 papers), Gene expression and cancer classification (2 papers), Cancer-related Molecular Pathways (2 papers), Advanced Breast Cancer Therapies (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Computational Theory and Mathematics (107 citations), Pharmacology (25 citations), Cancer Research (38 citations), Molecular Biology (170 citations) and Oncology (61 citations). Yue Webster has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Ian A. Watson, James Stevens, Jeffrey J. Sutherland, George H. Searfoss, Jon A. Erickson, Michal Vieth, Richard E. Higgs, Armando R. Irizarry, Jeffrey A. Willy and Keith M. Goldstein. Their work appears in journals such as Clinical Cancer Research, Archives of Toxicology, Journal of Medicinal Chemistry, Drug Discovery Today and Toxicological 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.