Vera Sorin

2.3k total citations
59 papers, 1.2k citations indexed

About

Vera Sorin is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Vera Sorin has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Health Informatics, 22 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Artificial Intelligence. Recurrent topics in Vera Sorin's work include Artificial Intelligence in Healthcare and Education (28 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Machine Learning in Healthcare (9 papers). Vera Sorin is often cited by papers focused on Artificial Intelligence in Healthcare and Education (28 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Machine Learning in Healthcare (9 papers). Vera Sorin collaborates with scholars based in Israel, United States and Germany. Vera Sorin's co-authors include Eyal Klang, Eli Konen, Yiftach Barash, Girish N. Nadkarni, Miri Sklair‐Levy, Benjamin S. Glicksberg, Dana Brin, Alexander W. Charney, Michael Gotlieb and Anat Shalmon and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Lancet Oncology.

In The Last Decade

Vera Sorin

49 papers receiving 1.2k citations

Peers

Vera Sorin

RNMI

PRM

Joseph R. Ledsam United Kingdom

Marcus A. Badgeley United States

Luke Oakden‐Rayner Australia

Mustafa Suleyman United Kingdom

Narmin Ghaffari Laleh Germany

J. Titano United States

Hari Trivedi United States

Emma Chen United States

Christoph Kern Germany

John R. Zech United States

Joseph R. Ledsam United Kingdom

Vera Sorin

725 ×1.3

RNMI

496 ×0.9

491 ×1.1

140 ×0.6

PRM

194 ×1.9

Citations per year, relative to Vera Sorin Vera Sorin (= 1×) peers Joseph R. Ledsam

Countries citing papers authored by Vera Sorin

Since Specialization

Citations

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

Fields of papers citing papers by Vera Sorin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Sorin

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

All Works

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20 of 20 papers shown

Lyden, Sean P., et al.. (2025). Advancements in imaging for endovascular treatment of peripheral artery disease. VASA.

Truong, Mylene T., et al.. (2025). The Ninth Edition TNM Staging System for Thymic Epithelial Tumors: A Comprehensive Review. Radiology Cardiothoracic Imaging. 7(5). e250144–e250144.

Omar, Mahmud, Vera Sorin, Jeremy D. Collins, et al.. (2025). Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support. Communications Medicine. 5(1). 330–330. 6 indexed citations

Sorin, Vera, et al.. (2025). AI-generated videos in medical education: systematic review. BMJ Open Quality. 14(4). e003704–e003704.

Sorin, Vera, et al.. (2025). Large language models in real-world clinical workflows: a systematic review of applications and implementation. Frontiers in Digital Health. 7. 1659134–1659134. 2 indexed citations

Omar, Mahmud, Vera Sorin, Ali Soroush, et al.. (2025). Evaluating and addressing demographic disparities in medical large language models: a systematic review. International Journal for Equity in Health. 24(1). 57–57. 17 indexed citations

Sorin, Vera, Panagiotis Korfiatis, Tim Leiner, et al.. (2025). Using a Large Language Model for Postdeployment Monitoring of FDA-Approved Artificial Intelligence: Pulmonary Embolism Detection Use Case. Journal of the American College of Radiology. 22(11). 1404–1414. 1 indexed citations

Sorin, Vera, Noa Kapelushnik, Idan Hecht, et al.. (2025). Integrated visual and text-based analysis of ophthalmology clinical cases using a large language model. Scientific Reports. 15(1). 4999–4999. 7 indexed citations

Sorin, Vera, et al.. (2024). Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine. Journal of Clinical Medicine. 13(20). 6246–6246. 8 indexed citations

10.

Truong, Mylene T., et al.. (2024). RadioGraphics Update: The Ninth Edition TNM Staging System for Thymic Epithelial Tumors. Radiographics. 44(9). e240196–e240196. 2 indexed citations

11.

Truong, Mylene T., et al.. (2024). Proposed Ninth Edition TNM Staging System for Lung Cancer: Guide for Radiologists. Radiographics. 44(12). e240057–e240057. 4 indexed citations

12.

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

13.

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

14.

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

15.

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

16.

Klang, Eyal, et al.. (2023). Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections. BJR|Open. 6(1). tzae022–tzae022. 2 indexed citations

17.

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

18.

Sorin, Vera, Eyal Klang, Miri Sklair‐Levy, et al.. (2023). Large language model (ChatGPT) as a support tool for breast tumor board. npj Breast Cancer. 9(1). 44–44. 147 indexed citations

19.

Sorin, Vera, Yiftach Barash, Eli Konen, & Eyal Klang. (2020). Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review. Academic Radiology. 27(8). 1175–1185. 128 indexed citations

20.

Oron, Uri, Lidya Maltz, Hana Tuby, Vera Sorin, & Abraham Czerniak. (2010). Enhanced Liver Regeneration Following Acute Hepatectomy by Low-Level Laser Therapy. Photomedicine and Laser Surgery. 28(5). 675–678. 26 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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