Karin D. Brown
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Melanoma and MAPK Pathways
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- Peptidase Inhibition and Analysis
Papers in
- Oncology 4
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- Chemical Synthesis and Analysis 3
- Protein Kinase Regulation and GTPase Signaling 2
- Glycosylation and Glycoproteins Research 1
- Biochemical and Molecular Research 1
- Co-authors
- William Bensinger (1 shared paper)Gary P. Hingorani (1 shared paper)Kevin M. Koch (1 shared paper)Sagar Lonial (1 shared paper)Jatin J. Shah (1 shared paper)Kevin S. Litwiler (1 shared paper)Brian J. Tunquist (1 shared paper)Jonathan L. Kaufman (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Drug Metabolism and Disposition (1 paper)Blood (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Karin D. Brown
8 papers receiving 513 citations
Karin D. Brown's Hit Papers
Peers
Comparison fields: 5 of 44
- Molecular Biology 395
- Oncology 131
- Organic Chemistry 116
- Computational Theory and Mathematics 59
- Pharmaceutical Science 15
Countries citing papers authored by Karin D. Brown
This map shows the geographic impact of Karin D. Brown'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 Karin D. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin D. Brown more than expected).
Fields of papers citing papers by Karin D. Brown
This network shows the impact of papers produced by Karin D. Brown. 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 Karin D. Brown. The network helps show where Karin D. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin D. Brown, 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 | Identification of the Clinical Development Candidate MRTX849 , a Covalent KRASG12C Inhibitor for the Treatment of Cancer Hit paper breakdown → | 2020 | 480 |
| 2 | 2014 | 35 | |
| 3 | 2014 | 17 | |
| 4 | 2012 | 10 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 1 |
About Karin D. Brown
Karin D. Brown is a scholar working on Oncology, Molecular Biology, Hematology, Physiology and Pharmacology, having authored 8 papers that have together received 551 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (3 papers), Alzheimer's disease research and treatments (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Mechanisms and Therapy (1 paper), Biochemical and Molecular Research (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Molecular Biology (395 citations), Oncology (131 citations), Organic Chemistry (116 citations), Computational Theory and Mathematics (59 citations) and Pharmaceutical Science (15 citations). Karin D. Brown has collaborated with scholars based in United States and France. Frequent co-authors include William Bensinger, Gary P. Hingorani, Kevin M. Koch, Sagar Lonial, Jatin J. Shah, Kevin S. Litwiler, Brian J. Tunquist, Jonathan L. Kaufman, Adam D. Cohen and Brandi W. Hilder. Their work appears in journals such as Journal of Medicinal Chemistry, Drug Metabolism and Disposition, Blood and ACS Medicinal Chemistry Letters.
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.