Berta M. Geller
- Oncology top 0.5%
- Global Cancer Incidence and Screening 101
- Colorectal Cancer Screening and Detection 30
- Cancer Risks and Factors 17
- Cancer Research top 1%
- Breast Cancer Treatment Studies 35
- Artificial Intelligence top 0.5%
- AI in cancer detection 44
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- Radiology practices and education 19
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- Digital Radiography and Breast Imaging 27
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- Breast Lesions and Carcinomas 28
- Co-authors
- Patricia A. CarneyKarla KerlikowskeBonnie C. YankaskasRobert RosenbergDiana L. MigliorettiRachel Ballard‐BarbashPamela M. VacekWilliam E. Barlow
- Journals
- Radiology (21 papers)American Journal of Roentgenology (12 papers)Academic Radiology (11 papers)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Berta M. Geller
143 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Oncology 4.3k
- Cancer Research 1.4k
- Artificial Intelligence 2.5k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Pulmonary and Respiratory Medicine 2.0k
Countries citing papers authored by Berta M. Geller
This map shows the geographic impact of Berta M. Geller'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 Berta M. Geller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berta M. Geller more than expected).
Fields of papers citing papers by Berta M. Geller
This network shows the impact of papers produced by Berta M. Geller. 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 Berta M. Geller. The network helps show where Berta M. Geller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Berta M. Geller, 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 | 2020 | 7 | |
| 2 | 2018 | 13 | |
| 3 | 2014 | 15 | |
| 4 | 2012 | 19 | |
| 5 | 2012 | 39 | |
| 6 | 2010 | 20 | |
| 7 | 2010 | 8 | |
| 8 | 2010 | 6 | |
| 9 | 2009 | 44 | |
| 10 | 2009 | 194 | |
| 11 | 2005 | 59 | |
| 12 | 2005 | 161 | |
| 13 | 2005 | 9 | |
| 14 | 2004 | 12 | |
| 15 | 2004 | 82 | |
| 16 | 2002 | 84 | |
| 17 | 2000 | 84 | |
| 18 | 1999 | 6 | |
| 19 | 1999 | 8 | |
| 20 | 1994 | 157 |
About Berta M. Geller
Berta M. Geller is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 143 papers that have together received 7.6k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (101 papers), AI in cancer detection (44 papers), Breast Cancer Treatment Studies (35 papers), Colorectal Cancer Screening and Detection (30 papers), Breast Lesions and Carcinomas (28 papers), Digital Radiography and Breast Imaging (27 papers), Radiology practices and education (19 papers) and Cancer Risks and Factors (17 papers). The work is most often cited by research in Oncology (4.3k citations), Cancer Research (1.4k citations), Artificial Intelligence (2.5k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Pulmonary and Respiratory Medicine (2.0k citations). Berta M. Geller has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Patricia A. Carney, Karla Kerlikowske, Bonnie C. Yankaskas, Robert Rosenberg, Diana L. Miglioretti, Rachel Ballard‐Barbash, Pamela M. Vacek, William E. Barlow, Linn Abraham and Joann G. Elmore. Their work appears in journals such as Radiology, American Journal of Roentgenology, Academic Radiology, JNCI Journal of the National Cancer Institute and Breast Cancer Research and Treatment.
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.