William R. Sellers
- Oncology top 0.05%
- Cancer-related Molecular Pathways 29
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics 16
- Molecular Biology top 0.05%
- PI3K/AKT/mTOR signaling in cancer 29
- Melanoma and MAPK Pathways 15
- Genomics and Chromatin Dynamics 14
- Gene expression and cancer classification 12
- Pulmonary and Respiratory Medicine top 0.05%
- Prostate Cancer Treatment and Research 14
- Genetics top 0.5%
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- Cancer Mechanisms and Therapy 13
- Co-authors
- Matthew MeyersonFrancisca VázquezHeidi GreulichWilliam G. KaelinPasi A. JänneMassimo LodaFrederic J. KayeJ. Guillermo Paez
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
William R. Sellers
157 papers receiving 34.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Oncology 13.6k
- Cancer Research 7.1k
- Molecular Biology 22.7k
- Pulmonary and Respiratory Medicine 10.5k
- Genetics 1.6k
Countries citing papers authored by William R. Sellers
This map shows the geographic impact of William R. Sellers'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 William R. Sellers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Sellers more than expected).
Fields of papers citing papers by William R. Sellers
This network shows the impact of papers produced by William R. Sellers. 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 William R. Sellers. The network helps show where William R. Sellers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William R. Sellers, 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 | 2019 | 105 | |
| 2 | 2014 | 28 | |
| 3 | An F876L Mutation in Androgen Receptor Confers Genetic and Phenotypic Resistance to MDV3100 (Enzalutamide)breakdown → | 2013 | 425 |
| 4 | 2012 | 57 | |
| 5 | 2011 | 99 | |
| 6 | 2010 | 81 | |
| 7 | 2010 | 48 | |
| 8 | Patterns of Gene Expression and Copy-Number Alterations in von-Hippel Lindau Disease-Associated and Sporadic Clear Cell Carcinoma of the Kidneybreakdown → | 2009 | 310 |
| 9 | 2009 | 354 | |
| 10 | 2008 | 145 | |
| 11 | Identification and characterization of NVP-BEZ235, a new orally available dual phosphatidylinositol 3-kinase/mammalian target of rapamycin inhibitor with potent in vivo antitumor activitybreakdown → | 2008 | 954 |
| 12 | 2007 | 178 | |
| 13 | 2006 | 155 | |
| 14 | 2006 | 206 | |
| 15 | 2006 | 388 | |
| 16 | 2005 | 121 | |
| 17 | 2005 | 242 | |
| 18 | EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapybreakdown → | 2004 | 7539 |
| 19 | 2004 | 401 | |
| 20 | 2004 | 140 |
About William R. Sellers
William R. Sellers is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 165 papers that have together received 34.8k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (29 papers), Cancer-related Molecular Pathways (29 papers), Cancer Genomics and Diagnostics (16 papers), Melanoma and MAPK Pathways (15 papers), Genomics and Chromatin Dynamics (14 papers), Prostate Cancer Treatment and Research (14 papers), Cancer Mechanisms and Therapy (13 papers) and Gene expression and cancer classification (12 papers). The work is most often cited by research in Oncology (13.6k citations), Cancer Research (7.1k citations) and Molecular Biology (22.7k citations). William R. Sellers has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Matthew Meyerson, Francisca Vázquez, Heidi Greulich, William G. Kaelin, Pasi A. Jänne, Massimo Loda, Frederic J. Kaye, J. Guillermo Paez, Jeffrey C. Lee and Noriaki Nakamura. Their work appears in journals such as Nature, Science and Cell.
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.