Brian Befano

2.9k total citations
44 papers, 1.7k citations indexed

About

Brian Befano is a scholar working on Epidemiology, Oncology and Artificial Intelligence. According to data from OpenAlex, Brian Befano has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Epidemiology, 17 papers in Oncology and 15 papers in Artificial Intelligence. Recurrent topics in Brian Befano's work include Cervical Cancer and HPV Research (41 papers), AI in cancer detection (15 papers) and Global Cancer Incidence and Screening (12 papers). Brian Befano is often cited by papers focused on Cervical Cancer and HPV Research (41 papers), AI in cancer detection (15 papers) and Global Cancer Incidence and Screening (12 papers). Brian Befano collaborates with scholars based in United States, Spain and Costa Rica. Brian Befano's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Brian Befano

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Befano United States 21 1.3k 453 427 331 191 44 1.7k
Sanjay Gupta India 19 552 0.4× 217 0.5× 249 0.6× 141 0.4× 177 0.9× 74 1.2k
Ulrich Schenck Germany 20 1.1k 0.9× 751 1.7× 795 1.9× 116 0.4× 220 1.2× 48 2.0k
Marta del Pino Spain 29 1.6k 1.2× 1000 2.2× 371 0.9× 88 0.3× 294 1.5× 85 2.3k
Albert G. Siebers Netherlands 25 1.6k 1.2× 495 1.1× 642 1.5× 87 0.3× 234 1.2× 96 2.1k
Nancy Poitras United States 30 2.6k 2.0× 1.2k 2.7× 967 2.3× 165 0.5× 319 1.7× 62 2.9k
Dirk van Niekerk Canada 18 722 0.5× 305 0.7× 318 0.7× 92 0.3× 176 0.9× 50 987
Adela Saco Spain 22 453 0.3× 329 0.7× 169 0.4× 148 0.4× 205 1.1× 59 1.1k
Maria Demarco United States 14 606 0.5× 175 0.4× 289 0.7× 227 0.7× 75 0.4× 20 844
Michelle J. Khan United States 17 1.5k 1.1× 767 1.7× 309 0.7× 57 0.2× 234 1.2× 36 1.8k
Marianne U. Prey United States 13 806 0.6× 352 0.8× 252 0.6× 99 0.3× 125 0.7× 18 1.0k

Countries citing papers authored by Brian Befano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian Befano

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Befano. A scholar is included among the top collaborators of Brian Befano 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 Brian Befano. Brian Befano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sanjosé, Sílvia de, Rebecca B. Perkins, Nicole G. Campos, et al.. (2024). Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy. eLife. 12. 1 indexed citations
2.
Egemen, Didem, Brian Befano, Ana Cecilia Rodríguez, et al.. (2024). Assessing generalizability of an AI-based visual test for cervical cancer screening. SHILAP Revista de lepidopterología. 3(10). e0000364–e0000364. 2 indexed citations
3.
Clarke, Megan A., Brian Befano, Li C. Cheung, et al.. (2024). Associations of obesity with post-treatment risks of cervical precancer and cancer. American Journal of Obstetrics and Gynecology. 233(1). 40.e1–40.e16.
4.
Sanjosé, Sílvia de, Rebecca B. Perkins, Nicole G. Campos, et al.. (2023). Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy. eLife. 12. 12 indexed citations
5.
Egemen, Didem, Rebecca B. Perkins, Li C. Cheung, et al.. (2023). Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening. JNCI Journal of the National Cancer Institute. 116(1). 26–33. 25 indexed citations
6.
Inturrisi, Federica, Sílvia de Sanjosé, Kanan Desai, et al.. (2023). A rapid HPV typing assay to support global cervical cancer screening and risk‐based management: A cross‐sectional study. International Journal of Cancer. 154(2). 241–250. 17 indexed citations
7.
Parham, Groesbeck P., Didem Egemen, Brian Befano, et al.. (2023). Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation. Infectious Agents and Cancer. 18(1). 61–61. 17 indexed citations
8.
Perkins, Rebecca B., José Jerónimo, Nicole G. Campos, et al.. (2023). Use of risk-based cervical screening programs in resource-limited settings. Cancer Epidemiology. 84. 102369–102369. 11 indexed citations
9.
Adebamowo, Sally N., Brian Befano, Li C. Cheung, et al.. (2022). Different human papillomavirus types share early natural history transitions in immunocompetent women. International Journal of Cancer. 151(6). 920–929. 3 indexed citations
10.
Perkins, Rebecca B., José Jerónimo, Anne Hammer, et al.. (2022). Comparison of accuracy and reproducibility of colposcopic impression based on a single image versus a two-minute time series of colposcopic images. Gynecologic Oncology. 167(1). 89–95. 9 indexed citations
11.
Xue, Zhiyun, Peng Guo, Sivaramakrishnan Rajaraman, et al.. (2022). Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. Lecture notes in computer science. 13559. 206–217. 5 indexed citations
12.
Castle, Philip E., Brian Befano, Mark Schiffman, et al.. (2022). A comparison of high-grade cervical abnormality risks in women living with and without human immunodeficiency virus undergoing routine cervical-cancer screening. Preventive Medicine. 162. 107157–107157. 2 indexed citations
13.
Desai, Kanan, Brian Befano, Zhiyun Xue, et al.. (2021). The development of “automated visual evaluation” for cervical cancer screening: The promise and challenges in adapting deep‐learning for clinical testing. International Journal of Cancer. 150(5). 741–752. 44 indexed citations
14.
Pal, Anabik, Zhiyun Xue, Brian Befano, et al.. (2021). Deep Metric Learning for Cervical Image Classification. IEEE Access. 9. 53266–53275. 31 indexed citations
15.
Xue, Zhiyun, Akiva P. Novetsky, Mark H. Einstein, et al.. (2020). A demonstration of automated visual evaluation of cervical images taken with a smartphone camera. International Journal of Cancer. 147(9). 2416–2423. 44 indexed citations
16.
Hu, Liming, David Bell, Sameer Antani, et al.. (2019). An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. Obstetrical & Gynecological Survey. 74(6). 343–344. 21 indexed citations
17.
Castle, Philip E., Walter Kinney, Li C. Cheung, et al.. (2017). Why does cervical cancer occur in a state-of-the-art screening program?. Gynecologic Oncology. 146(3). 546–553. 48 indexed citations
18.
Schiffman, Mark, Seán Boyle, Tina Raine‐Bennett, et al.. (2015). The Role of Human Papillomavirus Genotyping in Cervical Cancer Screening: A Large-Scale Evaluation of the cobas HPV Test. Cancer Epidemiology Biomarkers & Prevention. 24(9). 1304–1310. 40 indexed citations
19.
Panagiotou, Orestis A., Brian Befano, Paula González, et al.. (2015). Effect of bivalent human papillomavirus vaccination on pregnancy outcomes: long term observational follow-up in the Costa Rica HPV Vaccine Trial. BMJ. 351. h4358–h4358. 31 indexed citations
20.
Harari, Ariana, Zigui Chen, Ana Cecilia Rodríguez, et al.. (2015). Cross-protection of the Bivalent Human Papillomavirus (HPV) Vaccine Against Variants of Genetically Related High-Risk HPV Infections. The Journal of Infectious Diseases. 213(6). 939–947. 18 indexed citations

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.

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