Dana Brin

599 total citations
11 papers, 280 citations indexed

About

Dana Brin is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Family Practice. According to data from OpenAlex, Dana Brin has authored 11 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health Informatics, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Family Practice. Recurrent topics in Dana Brin's work include Artificial Intelligence in Healthcare and Education (8 papers), Clinical Reasoning and Diagnostic Skills (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Dana Brin is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Clinical Reasoning and Diagnostic Skills (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Dana Brin collaborates with scholars based in Israel and United States. Dana Brin's co-authors include Eyal Klang, Vera Sorin, Girish N. Nadkarni, Benjamin S. Glicksberg, Alexander W. Charney, Ali Soroush, Akhil Vaid, Eli Konen, Yiftach Barash and Mahmud Omar and has published in prestigious journals such as Scientific Reports, Journal of Medical Internet Research and European Radiology.

In The Last Decade

Dana Brin

9 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana Brin Israel	5	181	93	88	34	23	11	280
Eric Strong United States	4	188 1.0×	103 1.1×	66 0.8×	57 1.7×	20 0.9×	5	319
Kota Sakaguchi Japan	5	183 1.0×	55 0.6×	109 1.2×	35 1.0×	25 1.1×	14	234
Anna Theresa Stüber Germany	4	245 1.4×	142 1.5×	175 2.0×	17 0.5×	28 1.2×	11	358
Claudia E. Haupt United States	6	198 1.1×	106 1.1×	76 0.9×	15 0.4×	46 2.0×	24	359
Brenda Y. Miao United States	8	125 0.7×	104 1.1×	72 0.8×	17 0.5×	23 1.0×	14	287
Poonam Hosamani United States	7	182 1.0×	163 1.8×	89 1.0×	42 1.2×	48 2.1×	9	434
Zhi Wei Lim Singapore	8	173 1.0×	75 0.8×	208 2.4×	14 0.4×	19 0.8×	13	357
Katharina Jeblick Germany	3	244 1.3×	138 1.5×	151 1.7×	17 0.5×	27 1.2×	5	327
Johanna Topalis Germany	3	243 1.3×	138 1.5×	155 1.8×	17 0.5×	27 1.2×	5	329
Asad Aali United States	3	109 0.6×	131 1.4×	55 0.6×	12 0.4×	15 0.7×	6	268

Countries citing papers authored by Dana Brin

Since Specialization

Citations

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

Fields of papers citing papers by Dana Brin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Brin. 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 Dana Brin. The network helps show where Dana Brin may publish in the future.

Co-authorship network of co-authors of Dana Brin

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

All Works

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11 of 11 papers shown

Brin, Dana, et al.. (2025). Evaluation of AI-based detection of incidental pulmonary emboli in cardiac CT angiography scans. The International Journal of Cardiovascular Imaging. 41(8). 1567–1575.

Omar, Mahmud, Dana Brin, Benjamin S. Glicksberg, & Eyal Klang. (2024). Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A systematic review. American Journal of Infection Control. 52(9). 992–1001. 16 indexed citations

Sorin, Vera, Dana Brin, Yiftach Barash, et al.. (2024). Large Language Models and Empathy: Systematic Review. Journal of Medical Internet Research. 26. e52597–e52597. 48 indexed citations

Omar, Mahmud, Dana Brin, Benjamin S. Glicksberg, & Eyal Klang. (2024). Utilizing Natural Language Processing and Large Language Models in the Diagnosis and Prediction of Infectious Diseases: A Systematic Review. medRxiv. 2 indexed citations

Brin, Dana, Vera Sorin, Eli Konen, et al.. (2024). How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences. 6(10). 3 indexed citations

Brin, Dana, Vera Sorin, Yiftach Barash, et al.. (2024). Assessing GPT-4 multimodal performance in radiological image analysis. European Radiology. 35(4). 1959–1965. 22 indexed citations

Cohen, Israel, et al.. (2024). A 14-year single-center experience evaluating sclerotherapy efficacy in lymphatic malformations. Journal of Vascular Surgery Venous and Lymphatic Disorders. 12(6). 101938–101938. 1 indexed citations

Sorin, Vera, Dana Brin, Yiftach Barash, et al.. (2023). Large Language Models and Empathy: Systematic Review (Preprint). 2 indexed citations

Brin, Dana, Vera Sorin, Eli Konen, et al.. (2023). How Large Language Models Perform on the United States Medical Licensing Examination: A Systematic Review. medRxiv. 5 indexed citations

10.

Brin, Dana, Vera Sorin, Akhil Vaid, et al.. (2023). Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments. Scientific Reports. 13(1). 180 indexed citations

11.

Brin, Dana, Vera Sorin, Noam Tau, et al.. (2023). October 7 Terror Attack: A One-Day Case Series of Imaging Trauma Patients at a Single Medical Center.. PubMed. 25(12). 780–786. 1 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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