Scott Rosenberg
Impact in
- Aging top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- Melanoma and MAPK Pathways
- Protein Degradation and Inhibitors
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- DNA Repair Mechanisms 6
- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 1
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- Microtubule and mitosis dynamics 4
- Co-authors
- Shiva Malek (4 shared papers)Amanda R. Moore (3 shared papers)Frank McCormick (3 shared papers)Kevin D. Corbett (7 shared papers)Qiaozhen Ye (3 shared papers)Tiffany Y Su (2 shared papers)Jeffrey A. Speir (1 shared paper)Arne Moeller (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (3 papers)eLife (2 papers)Developmental Cell (1 paper)Nature Communications (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Scott Rosenberg
13 papers receiving 1.4k citations
Scott Rosenberg's Hit Papers
Peers
Comparison fields: 5 of 70
- Aging 29
- Molecular Biology 1.1k
- Cell Biology 251
- Oncology 326
- Cancer Research 129
Countries citing papers authored by Scott Rosenberg
This map shows the geographic impact of Scott Rosenberg'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 Scott Rosenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Rosenberg more than expected).
Fields of papers citing papers by Scott Rosenberg
This network shows the impact of papers produced by Scott Rosenberg. 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 Scott Rosenberg. The network helps show where Scott Rosenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Rosenberg, 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 | RAS-targeted therapies: is the undruggable drugged? Hit paper breakdown → | 2020 | 729 |
| 2 | 2015 | 137 | |
| 3 | 2019 | 107 | |
| 4 | 2015 | 96 | |
| 5 | 2014 | 94 | |
| 6 | 2019 | 93 | |
| 7 | 2017 | 63 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2023 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 1999 | 2 |
About Scott Rosenberg
Scott Rosenberg is a scholar working on Molecular Biology, Cell Biology, Oncology, Aging and Organic Chemistry, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Click Chemistry and Applications (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), African history and culture studies (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Aging (29 citations), Molecular Biology (1.1k citations), Cell Biology (251 citations), Oncology (326 citations) and Cancer Research (129 citations). Scott Rosenberg has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Shiva Malek, Amanda R. Moore, Frank McCormick, Kevin D. Corbett, Qiaozhen Ye, Tiffany Y Su, Jeffrey A. Speir, Arne Moeller, Götz Hagemann and Franz Herzog. Their work appears in journals such as Nature Reviews Drug Discovery, eLife, Developmental Cell, Nature Communications and Nature Structural & Molecular Biology.
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.