Ali Soroush

1.4k total citations
29 papers, 662 citations indexed

About

Ali Soroush is a scholar working on Health Informatics, Artificial Intelligence and Surgery. According to data from OpenAlex, Ali Soroush has authored 29 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Informatics, 9 papers in Artificial Intelligence and 8 papers in Surgery. Recurrent topics in Ali Soroush's work include Artificial Intelligence in Healthcare and Education (9 papers), Machine Learning in Healthcare (8 papers) and Esophageal Cancer Research and Treatment (6 papers). Ali Soroush is often cited by papers focused on Artificial Intelligence in Healthcare and Education (9 papers), Machine Learning in Healthcare (8 papers) and Esophageal Cancer Research and Treatment (6 papers). Ali Soroush collaborates with scholars based in United States, Israel and France. Ali Soroush's co-authors include Girish N. Nadkarni, Eyal Klang, Alexander W. Charney, Benjamin S. Glicksberg, Vera Sorin, Akhil Vaid, Dana Brin, Chunhua Weng, Pierre Elias and Ying Ding and has published in prestigious journals such as Gastroenterology, Journal of Virology and Scientific Reports.

In The Last Decade

Ali Soroush

24 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Soroush United States 12 289 228 131 85 63 29 662
Jan Clusmann Germany 6 299 1.0× 211 0.9× 140 1.1× 50 0.6× 28 0.4× 17 545
Jesutofunmi A. Omiye United States 10 226 0.8× 185 0.8× 118 0.9× 36 0.4× 24 0.4× 17 598
Stephanie Teeple United States 5 228 0.8× 135 0.6× 108 0.8× 33 0.4× 27 0.4× 9 524
Supawadee Suppadungsuk Thailand 15 290 1.0× 194 0.9× 85 0.6× 23 0.3× 54 0.9× 49 545
Michael Gao United States 13 254 0.9× 259 1.1× 119 0.9× 144 1.7× 106 1.7× 39 886
Martin Seneviratne United States 13 131 0.5× 237 1.0× 63 0.5× 113 1.3× 42 0.7× 26 690
Armando Bedoya United States 13 222 0.8× 225 1.0× 68 0.5× 25 0.3× 146 2.3× 33 739
Daniel X. Yang United States 11 130 0.4× 95 0.4× 61 0.5× 41 0.5× 66 1.0× 36 595
Birju Patel United States 10 136 0.5× 126 0.6× 96 0.7× 26 0.3× 39 0.6× 18 449
Paola Daniore Switzerland 8 227 0.8× 146 0.6× 141 1.1× 17 0.2× 25 0.4× 20 570

Countries citing papers authored by Ali Soroush

Since Specialization
Citations

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

Fields of papers citing papers by Ali Soroush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Soroush

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Soroush. A scholar is included among the top collaborators of Ali Soroush 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 Ali Soroush. Ali Soroush 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.
Klang, Eyal, Benjamin S. Glicksberg, Ankit Sakhuja, et al.. (2025). Assessing Retrieval-Augmented Large Language Models for Medical Coding. NEJM AI. 2(10).
2.
Soroush, Ali, Mauro Giuffrè, Sunny Chung, & Dennis Shung. (2025). Generative Artificial Intelligence in Clinical Medicine and Impact on Gastroenterology. Gastroenterology. 169(3). 502–517.e1. 4 indexed citations
3.
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
4.
Soroush, Ali, et al.. (2025). Pilot evaluation of a novel, automated ergonomics assessment tool. Endoscopy International Open. 13(CP). a25689610–a25689610.
5.
6.
Lightdale, Charles J., Amrita Sethi, Julian A. Abrams, et al.. (2024). Endoscopy-Guided High-Pressure Spray “Power-Wash” for Detection of Gastric Intestinal Metaplasia and Dysplasia. Techniques and Innovations in Gastrointestinal Endoscopy. 26(2). 94–98.
7.
Wang, John, et al.. (2024). Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment. Journal of the American Medical Informatics Association. 32(1). 139–149. 13 indexed citations
8.
Shaukat, Aasma, et al.. (2024). Large language models: a primer and gastroenterology applications. Therapeutic Advances in Gastroenterology. 17. 1118410007–1118410007. 21 indexed citations
9.
Soroush, Ali, Benjamin S. Glicksberg, Eyal Zimlichman, et al.. (2024). Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying. NEJM AI. 1(5). 50 indexed citations
10.
Tang, Liyan, Zhaoyi Sun, Betina Idnay, et al.. (2023). Evaluating large language models on medical evidence summarization. npj Digital Medicine. 6(1). 158–158. 171 indexed citations
11.
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
12.
Liu, Cong, Casey Ta, Ali Soroush, et al.. (2022). Risk Factors Associated With SARS-CoV-2 Breakthrough Infections in Fully mRNA-Vaccinated Individuals: Retrospective Analysis. JMIR Public Health and Surveillance. 8(5). e35311–e35311. 20 indexed citations
13.
Driggin, Elissa, et al.. (2022). Rare Complication of Endoscopic Variceal Therapy. JACC Case Reports. 4(7). 433–437.
14.
Rogers, James R., Casey Ta, Cong Liu, et al.. (2022). Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety. Journal of Biomedical Informatics. 127. 104032–104032. 4 indexed citations
15.
Faye, Adam S., Timothy Wen, Ali Soroush, et al.. (2021). Increasing Prevalence of Frailty and Its Association with Readmission and Mortality Among Hospitalized Patients with IBD. Digestive Diseases and Sciences. 66(12). 4178–4190. 46 indexed citations
16.
Soroush, Ali, Arash Etemadi, & Julian A. Abrams. (2021). Non-Acid Fluid Exposure and Esophageal Squamous Cell Carcinoma. Digestive Diseases and Sciences. 67(7). 2754–2762. 9 indexed citations
17.
Sami, Sarmed S., Joel Gabre, Ali Soroush, et al.. (2020). Clinical significance of recurrent gastroesophageal junction intestinal metaplasia after endoscopic eradication of Barrett’s esophagus. Gastrointestinal Endoscopy. 93(6). 1250–1257.e3. 13 indexed citations
18.
Soroush, Ali, John M. Poneros, Charles J. Lightdale, & Julian A. Abrams. (2019). Shorter time to achieve endoscopic eradication is not associated with improved long-term outcomes in Barrett's esophagus. Diseases of the Esophagus. 32(8). 3 indexed citations
19.
Ahmed, Nasim, Ali Soroush, Yen‐Hong Kuo, & John M. Davis. (2014). Risk associated with traumatic intracranial bleed and outcome in patients following a fall from a standing position. European Journal of Trauma and Emergency Surgery. 41(3). 307–311. 8 indexed citations
20.
Myerson, Ralph M., et al.. (1971). Hepatocellular carcinoma, positive Australia (hepatitis-associated) antigen and sarcoidosis. Digestive Diseases and Sciences. 16(9). 857–862. 2 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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