Gregory R. Bean
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Breast Cancer Treatment Studies
- Oncology top 5%
Papers in
- Oncology 21
- Vascular Tumors and Angiosarcomas 6
- Co-authors
- Gregor Krings (15 shared papers)Emily H. Cheng (2 shared papers)Gerard P. Zambetti (2 shared papers)James J. Hsieh (2 shared papers)Decheng Ren (1 shared paper)Ho-Chou Tu (1 shared paper)Hyungjin Kim (1 shared paper)John Jeffers (1 shared paper)
- Journals
- Modern Pathology (13 papers)Cancer Epidemiology Biomarkers & Prevention (5 papers)Histopathology (5 papers)Oncogene (3 papers)Journal of Molecular Diagnostics (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Gregory R. Bean
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Cancer Research 292
- Oncology 418
- Pathology and Forensic Medicine 235
- Dermatology 94
- Molecular Biology 655
Countries citing papers authored by Gregory R. Bean
This map shows the geographic impact of Gregory R. Bean'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 Gregory R. Bean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory R. Bean more than expected).
Fields of papers citing papers by Gregory R. Bean
This network shows the impact of papers produced by Gregory R. Bean. 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 Gregory R. Bean. The network helps show where Gregory R. Bean may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory R. Bean, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 378 | |
| 2 | 2017 | 117 | |
| 3 | 2013 | 97 | |
| 4 | 2016 | 73 | |
| 5 | 2020 | 66 | |
| 6 | 2017 | 62 | |
| 7 | 2017 | 59 | |
| 8 | 2021 | 59 | |
| 9 | 2017 | 58 | |
| 10 | 2019 | 52 | |
| 11 | 2018 | 47 | |
| 12 | 2022 | 41 | |
| 13 | 2004 | 41 | |
| 14 | 2018 | 38 | |
| 15 | 2005 | 32 | |
| 16 | 2020 | 31 | |
| 17 | 2002 | 25 | |
| 18 | 2003 | 23 | |
| 19 | 2007 | 20 | |
| 20 | 2020 | 20 |
About Gregory R. Bean
Gregory R. Bean is a scholar working on Oncology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Dermatology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer and Skin Lesions (11 papers), Breast Lesions and Carcinomas (11 papers), Salivary Gland Tumors Diagnosis and Treatment (9 papers), Sarcoma Diagnosis and Treatment (8 papers), Breast Cancer Treatment Studies (7 papers), Vascular Tumors and Angiosarcomas (6 papers), Soft tissue tumor case studies (5 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Cancer Research (292 citations), Oncology (418 citations), Pathology and Forensic Medicine (235 citations), Dermatology (94 citations) and Molecular Biology (655 citations). Gregory R. Bean has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Gregor Krings, Emily H. Cheng, Gerard P. Zambetti, James J. Hsieh, Decheng Ren, Ho-Chou Tu, Hyungjin Kim, John Jeffers, Osamu Takeuchi and Gary X. Wang. Their work appears in journals such as Modern Pathology, Cancer Epidemiology Biomarkers & Prevention, Histopathology, Oncogene and Journal of Molecular Diagnostics.
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.