Başak E. Doğan

4.4k total citations · 2 hit papers
115 papers, 2.8k citations indexed

About

Başak E. Doğan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Başak E. Doğan has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 42 papers in Pathology and Forensic Medicine and 36 papers in Cancer Research. Recurrent topics in Başak E. Doğan's work include Breast Lesions and Carcinomas (39 papers), MRI in cancer diagnosis (38 papers) and Breast Cancer Treatment Studies (33 papers). Başak E. Doğan is often cited by papers focused on Breast Lesions and Carcinomas (39 papers), MRI in cancer diagnosis (38 papers) and Breast Cancer Treatment Studies (33 papers). Başak E. Doğan collaborates with scholars based in United States, Türkiye and Lebanon. Başak E. Doğan's co-authors include Wei Yang, Mark J. Dryden, Lumarie Santiago, Michael Z. Gilcrease, Lindsay W. Turnbull, Gary J. Whitman, David Spak, Rosalind P. Candelaria, Kelly K. Hunt and Dalliah M. Black and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PEDIATRICS.

In The Last Decade

Başak E. Doğan

108 papers receiving 2.8k citations

Hit Papers

Improved Axillary Evaluation Following Neoadjuvant Therap... 2016 2026 2019 2022 2016 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Başak E. Doğan United States 24 1.3k 1.2k 1.1k 609 471 115 2.8k
Sughra Raza United States 25 914 0.7× 730 0.6× 912 0.9× 384 0.6× 220 0.5× 63 2.0k
Bong Joo Kang South Korea 27 1.3k 1.0× 536 0.5× 614 0.6× 358 0.6× 324 0.7× 116 2.2k
Eun Sook Ko South Korea 29 1.7k 1.3× 664 0.6× 613 0.6× 367 0.6× 258 0.5× 99 2.4k
Jacopo Nori Italy 23 541 0.4× 1.2k 1.0× 758 0.7× 628 1.0× 491 1.0× 100 2.1k
Ruud M. Pijnappel Netherlands 30 1.3k 1.0× 1.1k 0.9× 927 0.9× 1.0k 1.7× 271 0.6× 112 3.0k
Joo Hee South Korea 29 1.5k 1.2× 708 0.6× 899 0.8× 415 0.7× 143 0.3× 138 2.5k
Mary S. Newell United States 28 915 0.7× 856 0.7× 755 0.7× 1.1k 1.8× 243 0.5× 72 2.7k
Huong T. Le‐Petross United States 25 706 0.5× 1.8k 1.6× 1.5k 1.4× 866 1.4× 761 1.6× 73 2.8k
Paul C. Stomper United States 28 918 0.7× 1.2k 1.0× 1.3k 1.2× 860 1.4× 600 1.3× 78 2.9k
Peter B. Dean Finland 28 628 0.5× 545 0.5× 535 0.5× 766 1.3× 297 0.6× 124 2.3k

Countries citing papers authored by Başak E. Doğan

Since Specialization
Citations

This map shows the geographic impact of Başak E. Doğan'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 Başak E. Doğan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Başak E. Doğan more than expected).

Fields of papers citing papers by Başak E. Doğan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Başak E. Doğan. 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 Başak E. Doğan. The network helps show where Başak E. Doğan may publish in the future.

Co-authorship network of co-authors of Başak E. Doğan

This figure shows the co-authorship network connecting the top 25 collaborators of Başak E. Doğan. A scholar is included among the top collaborators of Başak E. Doğan 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 Başak E. Doğan. Başak E. Doğan 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
2.
Doğan, Başak E., et al.. (2025). Patient Perception of Artificial Intelligence Use in Interpretation of Screening Mammograms: A Survey Study. Radiology Imaging Cancer. 7(3). e240290–e240290. 6 indexed citations
3.
Machado, Priscilla, Ji‐Bin Liu, Başak E. Doğan, et al.. (2024). Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography. Ultrasound Quarterly. 40(3). 2 indexed citations
4.
Nguyen, Son Hoang, Keith Hulsey, Murat Can Çobanoğlu, et al.. (2024). Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network. Radiology Imaging Cancer. 6(3). e230107–e230107. 3 indexed citations
5.
Xi, Yin, et al.. (2024). Radiomics Analysis of Contrast-Enhanced Breast MRI for Optimized Modelling of Virtual Prognostic Biomarkers in Breast Cancer. SHILAP Revista de lepidopterología. 20(2). 122–128. 2 indexed citations
6.
Doğan, Başak E., et al.. (2023). Breast Cancer Disparity and Outcomes in Underserved Women. Radiographics. 44(1). e230090–e230090. 5 indexed citations
8.
Xi, Yin, et al.. (2022). Performance Benchmark Metrics and Clinicopathologic Outcomes of MRI-Guided Breast Biopsies: A Systematic Review and Meta-Analysis. SHILAP Revista de lepidopterología. 19(1). 1–27. 4 indexed citations
9.
Grimm, Lars J., Daniela Markovic, Brian N. Dontchos, et al.. (2022). Communicating With Breast Imaging Patients During the COVID-19 Pandemic: Impact on Patient Care and Physician Wellness. Journal of Breast Imaging. 4(2). 144–152. 5 indexed citations
10.
Dialani, Vandana, et al.. (2021). Axillary Imaging Following a New Invasive Breast Cancer Diagnosis—A Radiologist’s Dilemma. Journal of Breast Imaging. 3(6). 645–658. 6 indexed citations
11.
Doğan, Başak E., et al.. (2021). American Joint Committee on Cancer’s Staging System for Breast Cancer, Eighth Edition: Summary for Clinicians. SHILAP Revista de lepidopterología. 17(3). 234–238. 52 indexed citations
12.
Dodelzon, Katerina, Lars J. Grimm, Brian N. Dontchos, et al.. (2021). Impact of COVID-19 on Breast Imaging Practice Operations and Recovery Efforts: A North American Study. Journal of Breast Imaging. 3(2). 156–167. 8 indexed citations
13.
Xi, Yin, et al.. (2020). Stereotactic Vacuum-Assisted Needle Biopsy Outcomes of Non-calcified Mammographic Lesions. Academic Radiology. 28(12). 1739–1747. 1 indexed citations
14.
Doğan, Başak E., et al.. (2020). Health Care Disparities in Breast Cancer: The Economics of Access to Screening, Diagnosis, and Treatment. Journal of Breast Imaging. 2(6). 524–529. 24 indexed citations
15.
Milton, Denái R., et al.. (2019). Supplemental ultrasound screening in patients with a history of lobular neoplasia. The Breast Journal. 25(2). 250–256. 5 indexed citations
16.
Raj, Sean D., et al.. (2019). MRI‐guided needle localization: Indications, tips, tricks, and review of the literature. The Breast Journal. 25(3). 479–483. 4 indexed citations
17.
Whitman, Gary J., et al.. (2019). Is Ductography Still Warranted in the 21st century?. The Breast Journal. 25(4). 654–662. 10 indexed citations
18.
Doğan, Başak E., Gisela L. G. Menezes, Reni Butler, et al.. (2019). Optoacoustic Imaging and Gray-Scale US Features of Breast Cancers: Correlation with Molecular Subtypes. Radiology. 292(3). 564–572. 46 indexed citations
19.
20.
Santiago, Lumarie, Gary J. Whitman, Cuiyan Wang, & Başak E. Doğan. (2017). Clinical and Pathologic Features of Clinically Occult Synchronous Bilateral Breast Cancers. Current Problems in Diagnostic Radiology. 47(5). 305–310. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026