Stephen E. Basham
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Melanoma and MAPK Pathways
Papers in
-
- Melanoma and MAPK Pathways 4
- Protein Kinase Regulation and GTPase Signaling 4
- Protein Degradation and Inhibitors 1
- PI3K/AKT/mTOR signaling in cancer 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Lesilee S. Rose (2 shared papers)B.A. Appleton (4 shared papers)Anne B. Jefferson (4 shared papers)Joshua P. Taygerly (1 shared paper)Frank Kayser (1 shared paper)Mario Cardozo (1 shared paper)Anjanabha Saha (1 shared paper)Laura V. Doyle (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Molecular Cancer Research (1 paper)Journal of Medicinal Chemistry (1 paper)Developmental Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandLibya
In The Last Decade
Stephen E. Basham
7 papers receiving 391 citations
Peers
Comparison fields: 5 of 50
- Aging 36
- Molecular Biology 298
- Oncology 105
- Cellular and Molecular Neuroscience 62
- Neurology 51
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 | 147 | |
| 2 | 2014 | 61 | |
| 3 | 2001 | 54 | |
| 4 | 1999 | 53 | |
| 5 | 2015 | 50 | |
| 6 | 2014 | 24 | |
| 7 | 2018 | 10 |
About Stephen E. Basham
Stephen E. Basham is a scholar working on Molecular Biology, Oncology, Aging, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 399 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Microtubule and mitosis dynamics (1 paper), Reproductive Biology and Fertility (1 paper), Protein Degradation and Inhibitors (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Aging (36 citations), Molecular Biology (298 citations), Oncology (105 citations), Cellular and Molecular Neuroscience (62 citations) and Neurology (51 citations). Stephen E. Basham has collaborated with scholars based in United States, Switzerland and Libya. Frequent co-authors include Lesilee S. Rose, B.A. Appleton, Anne B. Jefferson, Joshua P. Taygerly, Frank Kayser, Mario Cardozo, Anjanabha Saha, Laura V. Doyle, Mark A. Gallop and Stephanie Yung. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Research, Journal of Medicinal Chemistry, Developmental Biology and Nature Communications.
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.