Bethany L. Niell
- Cancer Research top 5%
- Breast Cancer Treatment Studies 17
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- Breast Lesions and Carcinomas 11
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- MRI in cancer diagnosis 10
- Medical Imaging Techniques and Applications 9
- Oncology top 5%
- Global Cancer Incidence and Screening 18
- Genetics top 10%
- BRCA gene mutations in cancer 10
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- Digital Radiography and Breast Imaging 14
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- AI in cancer detection 9
- Co-authors
- Linda MoyMary S. NewellEdward A. SicklesBarbara MonseesDebra L. MonticcioloR. Jared WeinfurtnerPhoebe E. FreerElizabeth A. Rafferty
- Journals
- New England Journal of Medicine (1 paper)Nature Medicine (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Bethany L. Niell
59 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 500
- Pathology and Forensic Medicine 527
- Radiology, Nuclear Medicine and Imaging 574
- Oncology 660
- Genetics 331
Countries citing papers authored by Bethany L. Niell
This map shows the geographic impact of Bethany L. Niell'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 Bethany L. Niell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bethany L. Niell more than expected).
Fields of papers citing papers by Bethany L. Niell
This network shows the impact of papers produced by Bethany L. Niell. 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 Bethany L. Niell. The network helps show where Bethany L. Niell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bethany L. Niell, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 50 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 5 | |
| 12 | Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACRbreakdown → | 2018 | 439 |
| 13 | 2018 | 10 | |
| 14 | 2017 | 135 | |
| 15 | 2015 | 62 | |
| 16 | 2014 | 12 | |
| 17 | 2013 | 3 | |
| 18 | 2012 | 18 | |
| 19 | 2003 | 45 | |
| 20 | 2001 | 15 |
About Bethany L. Niell
Bethany L. Niell is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (18 papers), Breast Cancer Treatment Studies (17 papers), Digital Radiography and Breast Imaging (14 papers), Breast Lesions and Carcinomas (11 papers), MRI in cancer diagnosis (10 papers), BRCA gene mutations in cancer (10 papers), Medical Imaging Techniques and Applications (9 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Cancer Research (500 citations), Pathology and Forensic Medicine (527 citations) and Radiology, Nuclear Medicine and Imaging (574 citations). Bethany L. Niell has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Linda Moy, Mary S. Newell, Edward A. Sickles, Barbara Monsees, Debra L. Monticciolo, R. Jared Weinfurtner, Phoebe E. Freer, Elizabeth A. Rafferty, Jennifer S. Drukteinis and Elizabeth Kagan Arleo. Their work appears in journals such as New England Journal of Medicine, Nature Medicine and Journal of Clinical 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.