Stephen E. Basham
Impact in
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- Protein Degradation and Inhibitors
- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- Ubiquitin and proteasome pathways
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- Neurological disorders and treatments
Papers in
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- Protein Kinase Regulation and GTPase Signaling 4
- Developmental Biology and Gene Regulation 2
- PI3K/AKT/mTOR signaling in cancer 1
- Protein Degradation and Inhibitors 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Lesilee S. Rose (2 shared papers)Joshua P. Taygerly (1 shared paper)Yan Chun Lou (1 shared paper)Jiong Lan (4 shared papers)Stephanie L. Yung (1 shared paper)B.A. Appleton (4 shared papers)Laura V. Doyle (4 shared papers)Neil Bence (1 shared paper)
- Journals
- Nature Communications (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Development (1 paper)Clinical Cancer Research (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Stephen E. Basham
10 papers receiving 552 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 344
- Neurology 57
- Computational Theory and Mathematics 58
- Aging 5
- Hematology 33
Countries citing papers authored by Stephen E. Basham
This map shows the geographic impact of Stephen E. Basham'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 Stephen E. Basham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Basham more than expected).
Fields of papers citing papers by Stephen E. Basham
This network shows the impact of papers produced by Stephen E. Basham. 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 Stephen E. Basham. The network helps show where Stephen E. Basham may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen E. Basham, 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 | 2019 | 173 | |
| 2 | 2014 | 104 | |
| 3 | 2014 | 62 | |
| 4 | 2001 | 59 | |
| 5 | 2015 | 57 | |
| 6 | 1999 | 54 | |
| 7 | 2014 | 25 | |
| 8 | 2024 | 13 | |
| 9 | 2025 | 11 | |
| 10 | 2018 | 10 |
About Stephen E. Basham
Stephen E. Basham is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Biophysics and Hematology, having authored 10 papers that have together received 568 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Synthesis and biological activity (3 papers), Developmental Biology and Gene Regulation (2 papers), Computational Drug Discovery Methods (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Microtubule and mitosis dynamics (1 paper), Protein Degradation and Inhibitors (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Molecular Biology (344 citations), Neurology (57 citations), Computational Theory and Mathematics (58 citations), Aging (5 citations) and Hematology (33 citations). Stephen E. Basham has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Lesilee S. Rose, Joshua P. Taygerly, Yan Chun Lou, Jiong Lan, Stephanie L. Yung, B.A. Appleton, Laura V. Doyle, Neil Bence, Kathleen Boyle and Anjanabha Saha. Their work appears in journals such as Nature Communications, Bioorganic & Medicinal Chemistry Letters, Development, Clinical Cancer Research and Journal of Medicinal 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.