Sam Gillette
Impact in
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
- Molecular Biology top 5%
- Melanoma and MAPK Pathways
- Phosphodiesterase function and regulation
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Chemical synthesis and alkaloids 3
- Synthesis and biological activity 1
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- Cholinesterase and Neurodegenerative Diseases 2
- Co-authors
- Kam Y. J. Zhang (5 shared papers)Gideon E. Bollag (5 shared papers)Prabha N. Ibrahim (3 shared papers)Yoshihisa Suzuki (3 shared papers)Michael V. Milburn (4 shared papers)Graeme L. Card (4 shared papers)Joseph Schlessinger (4 shared papers)Daniel W. Fong (3 shared papers)
- Journals
- Molecular Cell (2 papers)Structure (1 paper)Expert Opinion on Therapeutic Targets (1 paper)Nature Biotechnology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Sam Gillette
6 papers receiving 1.9k citations
Sam Gillette's Hit Papers
Peers
Comparison fields: 5 of 92
- Pharmacology 417
- Molecular Biology 1.7k
- Computational Theory and Mathematics 393
- Oncology 462
- Organic Chemistry 456
Countries citing papers authored by Sam Gillette
This map shows the geographic impact of Sam Gillette'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 Sam Gillette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Gillette more than expected).
Fields of papers citing papers by Sam Gillette
This network shows the impact of papers produced by Sam Gillette. 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 Sam Gillette. The network helps show where Sam Gillette may publish in the future.
Co-authors
The 22 scholars most cited alongside Sam Gillette, 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 | Discovery of a selective inhibitor of oncogenic B-Raf kinase with potent antimelanoma activity Hit paper breakdown → | 2008 | 1128 |
| 2 | 2004 | 372 | |
| 3 | 2004 | 256 | |
| 4 | 2005 | 175 | |
| 5 | 2005 | 77 | |
| 6 | 2004 | 5 |
About Sam Gillette
Sam Gillette is a scholar working on Organic Chemistry, Pharmacology, Molecular Biology, Physiology and Pathology and Forensic Medicine, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (5 papers), Chemical synthesis and alkaloids (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Receptor Mechanisms and Signaling (2 papers), Synthesis and biological activity (1 paper), Cancer Mechanisms and Therapy (1 paper), Melanoma and MAPK Pathways (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Pharmacology (417 citations), Molecular Biology (1.7k citations), Computational Theory and Mathematics (393 citations), Oncology (462 citations) and Organic Chemistry (456 citations). Sam Gillette has collaborated with scholars based in United States. Frequent co-authors include Kam Y. J. Zhang, Gideon E. Bollag, Prabha N. Ibrahim, Yoshihisa Suzuki, Michael V. Milburn, Graeme L. Card, Joseph Schlessinger, Daniel W. Fong, Sung‐Hou Kim and Dean R. Artis. Their work appears in journals such as Molecular Cell, Structure, Expert Opinion on Therapeutic Targets, Nature Biotechnology and Proceedings of the National Academy of 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.