William R. Poller
- Cancer Research top 1%
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Richard G. MargoleseMaureen KavanahBernard FisherJoseph P. CostantinoEdwin R. FisherNorman WolmarkD. Lawrence WickerhamEleftherios P. Mamounas
- Topics
- AI in cancer detection (11 papers)Global Cancer Incidence and Screening (7 papers)Breast Cancer Treatment Studies (7 papers)
- Journals
- New England Journal of MedicineJournal of Clinical OncologyJNCI Journal of the National Cancer Institute
- 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
- Artificial Intelligence 472
- Radiology, Nuclear Medicine and Imaging 419
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 of co-authors of William R. Poller
This figure shows the co-authorship network connecting the top 25 collaborators of William R. Poller. A scholar is included among the top collaborators of William R. Poller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William R. Poller. William R. Poller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 146 | |
| 7 | 48 | |
| 8 | 50 | |
| 9 | 3 | |
| 10 | 222 | |
| 11 | 51 | |
| 12 | 37 | |
| 13 | 36 | |
| 14 | 28 | |
| 15 | 42 | |
| 16 | 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 → | 615 |
| 18 | 1 | |
| 19 | Lumpectomy Compared with Lumpectomy and Radiation Therapy for the Treatment of Intraductal Breast Cancerbreakdown → | 618 |
| 20 | 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) and Breast Cancer Treatment Studies (7 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.