Kevin Coleman
- Hematology top 1%
- Multiple Myeloma Research and Treatments 8
- Molecular Biology top 1%
- Protein Degradation and Inhibitors 12
- Ubiquitin and proteasome pathways 6
- PI3K/AKT/mTOR signaling in cancer 4
- TGF-β signaling in diseases 4
- Metabolism, Diabetes, and Cancer 3
- Oncology top 5%
- Cancer Cells and Metastasis 3
- Aging top 5%
- Cell Biology top 5%
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- Adaptive Control of Nonlinear Systems 3
- Co-authors
- Craig M. CrewsStephen J. PooleThomas B. KornbergAndrew P. CrewKanak RainaYimin QianJames D. WinklerJing Wang
- Cited by
- HematologyMolecular BiologyOncology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Kevin Coleman
40 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Hematology 669
- Molecular Biology 4.1k
- Oncology 926
- Aging 48
- Cell Biology 373
Countries citing papers authored by Kevin Coleman
This map shows the geographic impact of Kevin Coleman'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 Kevin Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Coleman more than expected).
Fields of papers citing papers by Kevin Coleman
This network shows the impact of papers produced by Kevin Coleman. 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 Kevin Coleman. The network helps show where Kevin Coleman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Coleman, 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 | 2024 | 4 | |
| 2 | 2019 | 2 | |
| 3 | 2017 | 136 | |
| 4 | 2017 | 52 | |
| 5 | 2016 | 3 | |
| 6 | PROTAC-induced BET protein degradation as a therapy for castration-resistant prostate cancerbreakdown → | 2016 | 661 |
| 7 | Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently Target BRD4breakdown → | 2015 | 849 |
| 8 | 2007 | 62 | |
| 9 | 2005 | 20 | |
| 10 | Severe diabetes, age-dependent loss of adipose tissue, and mild growth deficiency in mice lacking Akt2/PKBβbreakdown → | 2003 | 594 |
| 11 | Dwarfism, impaired skin development, skeletal muscle atrophy, delayed bone development, and impeded adipogenesis in mice lacking Akt1 and Akt2breakdown → | 2003 | 693 |
| 12 | 1999 | 7 | |
| 13 | 1998 | 16 | |
| 14 | 1998 | 17 | |
| 15 | 1997 | 79 | |
| 16 | 1994 | 25 | |
| 17 | 1991 | 1 | |
| 18 | Expression of engrailed proteins in arthropods, annelids, and chordatesbreakdown → | 1989 | 903 |
| 19 | 1987 | 142 | |
| 20 | 1986 | 19 |
About Kevin Coleman
Kevin Coleman is a scholar working on Hematology, Oncology and Molecular Biology, having authored 41 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (12 papers), Multiple Myeloma Research and Treatments (8 papers), Ubiquitin and proteasome pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), TGF-β signaling in diseases (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Cancer Cells and Metastasis (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Hematology (669 citations), Molecular Biology (4.1k citations) and Oncology (926 citations). Kevin Coleman has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Craig M. Crews, Stephen J. Poole, Thomas B. Kornberg, Andrew P. Crew, Kanak Raina, Yimin Qian, James D. Winkler, Jing Wang, Hanqing Dong and Nipam H. Patel. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.