Keith Pfister
Impact in
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- Synthesis and biological activity
- Catalytic C–H Functionalization Methods
- Asymmetric Synthesis and Catalysis
- Synthetic Organic Chemistry Methods
Papers in
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- Ubiquitin and proteasome pathways 2
- Protein Kinase Regulation and GTPase Signaling 2
- DNA Repair Mechanisms 1
- Angiogenesis and VEGF in Cancer 1
- Protein Degradation and Inhibitors 1
- Melanoma and MAPK Pathways 1
- Cancer therapeutics and mechanisms 1
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- Asymmetric Synthesis and Catalysis 1
- Co-authors
- S. J. Burns (1 shared paper)Paul G. Gassman (1 shared paper)Sabina Pecchi (2 shared papers)Johanna M. Jansen (2 shared papers)Simon S.M. Ng (2 shared papers)Zhi‐Jie Ni (2 shared papers)Allan S. Wagman (3 shared papers)Dirksen E. Bussiere (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Clinical Oncology (1 paper)Journal of Medicinal Chemistry (1 paper)The Journal of Organic Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Keith Pfister
9 papers receiving 199 citations
Peers
Comparison fields: 5 of 44
- Organic Chemistry 117
- Toxicology 7
- Molecular Biology 113
- Computational Theory and Mathematics 19
- Pharmacology 17
Countries citing papers authored by Keith Pfister
This map shows the geographic impact of Keith Pfister'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 Keith Pfister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Pfister more than expected).
Fields of papers citing papers by Keith Pfister
This network shows the impact of papers produced by Keith Pfister. 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 Keith Pfister. The network helps show where Keith Pfister may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Pfister, 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 | 1993 | 67 | |
| 2 | 2006 | 58 | |
| 3 | 2010 | 24 | |
| 4 | 2016 | 20 | |
| 5 | 2016 | 15 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 10 | |
| 8 | 2011 | 2 | |
| 9 | 2016 | 1 |
About Keith Pfister
Keith Pfister is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Computational Theory and Mathematics and Cancer Research, having authored 9 papers that have together received 208 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), DNA Repair Mechanisms (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Protein Degradation and Inhibitors (1 paper), Melanoma and MAPK Pathways (1 paper), Asymmetric Synthesis and Catalysis (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Organic Chemistry (117 citations), Toxicology (7 citations), Molecular Biology (113 citations), Computational Theory and Mathematics (19 citations) and Pharmacology (17 citations). Keith Pfister has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include S. J. Burns, Paul G. Gassman, Sabina Pecchi, Johanna M. Jansen, Simon S.M. Ng, Zhi‐Jie Ni, Allan S. Wagman, Dirksen E. Bussiere, Savithri Ramurthy and Paul A. Renhowe. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Clinical Oncology, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Journal of Chemical Information and Modeling.
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.