William R. Poller
- Cancer Research top 1%
- Breast Cancer Treatment Studies 7
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- Breast Lesions and Carcinomas 7
- Oncology top 5%
- Global Cancer Incidence and Screening 7
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- Radiology practices and education 5
- Radiomics and Machine Learning in Medical Imaging 2
- Artificial Intelligence top 5%
- AI in cancer detection 11
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- Digital Radiography and Breast Imaging 5
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- Cancer and Skin Lesions 3
- Co-authors
- Richard G. MargoleseMaureen KavanahBernard FisherJoseph P. CostantinoEdwin R. FisherNorman WolmarkD. Lawrence WickerhamEleftherios P. Mamounas
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Oncology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesPortugal
In The Last Decade
William R. Poller
21 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 1.2k
- Pathology and Forensic Medicine 910
- Oncology 801
- Radiology, Nuclear Medicine and Imaging 419
- Artificial Intelligence 472
Countries citing papers authored by William R. Poller
This map shows the geographic impact of William R. Poller'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. Poller 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. Poller more than expected).
Fields of papers citing papers by William R. Poller
This network shows the impact of papers produced by William R. Poller. 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. Poller. The network helps show where William R. Poller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William R. Poller, 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 | 2011 | 23 | |
| 2 | 2010 | 1 | |
| 3 | 2008 | 18 | |
| 4 | 2008 | 4 | |
| 5 | 2008 | 7 | |
| 6 | 2008 | 146 | |
| 7 | 2007 | 48 | |
| 8 | 2006 | 50 | |
| 9 | 2005 | 3 | |
| 10 | 2004 | 222 | |
| 11 | 2004 | 51 | |
| 12 | 2003 | 37 | |
| 13 | 2003 | 36 | |
| 14 | 2003 | 28 | |
| 15 | 2002 | 42 | |
| 16 | 2002 | 1 | |
| 17 | Lumpectomy and radiation therapy for the treatment of intraductal breast cancer: findings from National Surgical Adjuvant Breast and Bowel Project B-17.breakdown → | 1998 | 615 |
| 18 | 1996 | 1 | |
| 19 | Lumpectomy Compared with Lumpectomy and Radiation Therapy for the Treatment of Intraductal Breast Cancerbreakdown → | 1993 | 618 |
| 20 | 1977 | 4 |
About William R. Poller
William R. Poller is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Global Cancer Incidence and Screening (7 papers), Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (7 papers), Radiology practices and education (5 papers), Digital Radiography and Breast Imaging (5 papers), Cancer and Skin Lesions (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (1.2k citations), Pathology and Forensic Medicine (910 citations) and Oncology (801 citations). William R. Poller has collaborated with scholars based in United States and Portugal. Frequent co-authors include Richard G. Margolese, Maureen Kavanah, Bernard Fisher, Joseph P. Costantino, Edwin R. Fisher, Norman Wolmark, D. Lawrence Wickerham, Eleftherios P. Mamounas, Melvin Deutsch and Nikolay Dimitrov. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.
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.