A. D. Colevas
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Otorhinolaryngology top 10%
Papers in
- Oncology 16
- Cancer Treatment and Pharmacology 8
- HER2/EGFR in Cancer Research 4
- PARP inhibition in cancer therapy 3
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Ann Setser (1 shared paper)Ling Geng (1 shared paper)Kwang Woon Kim (1 shared paper)Dakai Xiao (1 shared paper)Carolyn Cao (1 shared paper)Jeffrey M. Albert (1 shared paper)Alan Sandler (1 shared paper)Christopher D. Willey (1 shared paper)
- Journals
- Journal of Clinical Oncology (20 papers)Clinical Cancer Research (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
A. D. Colevas
24 papers receiving 647 citations
Peers
Comparison fields: 5 of 65
- Oncology 337
- Otorhinolaryngology 21
- Molecular Biology 303
- Cell Biology 53
- Cancer Research 42
Countries citing papers authored by A. D. Colevas
This map shows the geographic impact of A. D. Colevas'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 A. D. Colevas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. D. Colevas more than expected).
Fields of papers citing papers by A. D. Colevas
This network shows the impact of papers produced by A. D. Colevas. 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 A. D. Colevas. The network helps show where A. D. Colevas may publish in the future.
Co-authors
The 25 scholars most cited alongside A. D. Colevas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 215 | |
| 2 | 2004 | 86 | |
| 3 | 2015 | 84 | |
| 4 | 2005 | 62 | |
| 5 | 2012 | 46 | |
| 6 | 2011 | 33 | |
| 7 | 2009 | 27 | |
| 8 | 2006 | 16 | |
| 9 | 2004 | 16 | |
| 10 | 2007 | 11 | |
| 11 | 2010 | 8 | |
| 12 | 2007 | 7 | |
| 13 | 2007 | 7 | |
| 14 | 2006 | 7 | |
| 15 | 2005 | 5 | |
| 16 | 2004 | 5 | |
| 17 | 2007 | 4 | |
| 18 | 2006 | 4 | |
| 19 | 2005 | 4 | |
| 20 | 2006 | 3 |
About A. D. Colevas
A. D. Colevas is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 24 papers that have together received 656 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Cancer Genomics and Diagnostics (4 papers), HER2/EGFR in Cancer Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Advanced Breast Cancer Therapies (3 papers), PARP inhibition in cancer therapy (3 papers), Cell Adhesion Molecules Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Oncology (337 citations), Otorhinolaryngology (21 citations), Molecular Biology (303 citations), Cell Biology (53 citations) and Cancer Research (42 citations). A. D. Colevas has collaborated with scholars based in United States. Frequent co-authors include Ann Setser, Ling Geng, Kwang Woon Kim, Dakai Xiao, Carolyn Cao, Jeffrey M. Albert, Alan Sandler, Christopher D. Willey, Jennifer A. Low and Mace L. Rothenberg. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Gynecologic Oncology.
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.