Brian Befano
Impact in
- Epidemiology top 1%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
- Health Informatics top 5%
Papers in
- Epidemiology 43
- Cervical Cancer and HPV Research 43
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- AI in cancer detection 13
- Co-authors
- Mark Schiffman (44 shared papers)Nicolas Wentzensen (33 shared papers)Julia C. Gage (22 shared papers)Philip E. Castle (21 shared papers)Ana Cecilia Rodríguez (20 shared papers)Li C. Cheung (19 shared papers)Thomas Lorey (19 shared papers)Nancy Poitras (17 shared papers)
- Journals
- JNCI Journal of the National Cancer Institute (6 papers)International Journal of Cancer (6 papers)Gynecologic Oncology (6 papers)Journal of Lower Genital Tract Disease (4 papers)Journal of Clinical Microbiology (3 papers)
- Partner nations
- United StatesSpainCosta Rica
In The Last Decade
Brian Befano
44 papers receiving 1.8k citations
Brian Befano's Hit Papers
Peers
Comparison fields: 5 of 100
- Epidemiology 1.4k
- Health Informatics 45
- Microbiology 104
- Obstetrics and Gynecology 115
- Oncology 251
Countries citing papers authored by Brian Befano
This map shows the geographic impact of Brian Befano'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 Brian Befano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Befano more than expected).
Fields of papers citing papers by Brian Befano
This network shows the impact of papers produced by Brian Befano. 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 Brian Befano. The network helps show where Brian Befano may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Befano, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening Hit paper breakdown → | 2018 | 283 |
| 2 | 2010 | 206 | |
| 3 | 2020 | 140 | |
| 4 | 2017 | 117 | |
| 5 | 2014 | 83 | |
| 6 | 2010 | 77 | |
| 7 | 2018 | 76 | |
| 8 | 2016 | 64 | |
| 9 | 2020 | 51 | |
| 10 | 2020 | 50 | |
| 11 | 2017 | 49 | |
| 12 | 2021 | 48 | |
| 13 | 2022 | 46 | |
| 14 | 2015 | 46 | |
| 15 | 2017 | 44 | |
| 16 | 2015 | 40 | |
| 17 | 2021 | 37 | |
| 18 | 2015 | 33 | |
| 19 | 2023 | 31 | |
| 20 | 2022 | 22 |
About Brian Befano
Brian Befano is a scholar working on Epidemiology, Artificial Intelligence, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (43 papers), AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Global Cancer Incidence and Screening (5 papers), Genital Health and Disease (5 papers), Reproductive tract infections research (4 papers), Molecular Biology Techniques and Applications (4 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Epidemiology (1.4k citations), Health Informatics (45 citations), Microbiology (104 citations), Obstetrics and Gynecology (115 citations) and Oncology (251 citations). Brian Befano has collaborated with scholars based in United States, Spain and Costa Rica. Frequent co-authors include Mark Schiffman, Nicolas Wentzensen, Julia C. Gage, Philip E. Castle, Ana Cecilia Rodríguez, Li C. Cheung, Thomas Lorey, Nancy Poitras, Hormuzd A. Katki and Maria Demarco. Their work appears in journals such as JNCI Journal of the National Cancer Institute, International Journal of Cancer, Gynecologic Oncology, Journal of Lower Genital Tract Disease and Journal of Clinical Microbiology.
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.