Kanhai Amin

444 total citations
17 papers, 224 citations indexed

About

Kanhai Amin is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Kanhai Amin has authored 17 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Informatics, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Kanhai Amin's work include Artificial Intelligence in Healthcare and Education (7 papers), Radiology practices and education (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Kanhai Amin is often cited by papers focused on Artificial Intelligence in Healthcare and Education (7 papers), Radiology practices and education (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Kanhai Amin collaborates with scholars based in United States. Kanhai Amin's co-authors include Howard P. Forman, Rushabh Doshi, P.K. Khosla, Melissa Davis, Sophie Chheang, Andrew Haims, Simar S. Bajaj, Linda C. Mayes, Keshav Patel and Hongyue Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Kanhai Amin

14 papers receiving 223 citations

Peers

Kanhai Amin

RNMI

GHP

Jakob Vielhauer Germany

Samantha Min Er Yew Singapore

Joshua Au Yeung United Kingdom

Ann Shue United States

Hana A. Mansour Lebanon

Yasuhito Mitsuyama Japan

Patricia L. Zadnik Sullivan United States

Ameena Elahi United States

Cara Van Uden United States

Cesar A. Gomez-Cabello United States

Jakob Vielhauer Germany

Kanhai Amin

98 ×0.8

48 ×0.4

RNMI

91 ×1.3

10 ×0.3

GHP

13 ×0.7

Citations per year, relative to Kanhai Amin Kanhai Amin (= 1×) peers Jakob Vielhauer

Countries citing papers authored by Kanhai Amin

Since Specialization

Citations

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

Fields of papers citing papers by Kanhai Amin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanhai Amin

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

All Works

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17 of 17 papers shown

AlAshqar, Abdelrahman, et al.. (2025). Comparative Evaluation of Artificial Intelligence Models for Contraceptive Counseling. SHILAP Revista de lepidopterología. 5(2). 10–10. 2 indexed citations

Doshi, Rushabh, Kanhai Amin, Simar S. Bajaj, et al.. (2025). Development, optimization, and preliminary evaluation of a novel artificial intelligence tool to promote patient health literacy in radiology reports: The Rads-Lit tool. PLoS ONE. 20(9). e0331368–e0331368.

Doshi, Rushabh, Kanhai Amin, P.K. Khosla, et al.. (2024). Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis. Radiology. 310(3). e231593–e231593. 56 indexed citations

Amin, Kanhai, et al.. (2024). Increasing patient viewership of complex imaging reports: The paradox of the Cures Act. Clinical Imaging. 119. 110398–110398.

Amin, Kanhai, et al.. (2024). Release of complex imaging reports to patients, do radiologists trust AI to help?. Current Problems in Diagnostic Radiology. 54(2). 147–150. 3 indexed citations

Amin, Kanhai, Howard P. Forman, & Melissa Davis. (2024). Even with ChatGPT, race matters. Clinical Imaging. 109. 110113–110113. 22 indexed citations

Khosla, P.K., Kanhai Amin, & Rushabh Doshi. (2024). Combating Chronic Disease with Barbershop Health Interventions: AReview of Current Knowledge and Potential for Big Data. The Yale Journal of Biology and Medicine. 97(2). 239–245. 2 indexed citations

Amin, Kanhai, Linda C. Mayes, P.K. Khosla, & Rushabh Doshi. (2024). Assessing the Efficacy of Large Language Models in Health Literacy: AComprehensive Cross-Sectional Study. The Yale Journal of Biology and Medicine. 97(1). 17–27. 19 indexed citations

Amin, Kanhai, et al.. (2024). Comparative Readability Assessment of Four Large Language Models in Answers to Common Contraception Questions [ID 2683638]. Obstetrics and Gynecology. 143(5S). 12S–12S. 1 indexed citations

10.

Amin, Kanhai, Melissa Davis, Rushabh Doshi, et al.. (2023). Accuracy of ChatGPT, Google Bard, and Microsoft Bing for Simplifying Radiology Reports. Radiology. 309(2). e232561–e232561. 60 indexed citations

11.

Amin, Kanhai, P.K. Khosla, Rushabh Doshi, Sophie Chheang, & Howard P. Forman. (2023). Artificial Intelligence to Improve Patient Understanding of RadiologyReports. The Yale Journal of Biology and Medicine. 96(3). 407–417. 31 indexed citations

12.

Amin, Kanhai, Rushabh Doshi, & Howard P. Forman. (2023). Large language models as a source of health information: Are they patient-centered? A longitudinal analysis. Healthcare. 12(1). 100731–100731. 11 indexed citations

13.

Prabhu, Michael C., et al.. (2022). Obesity and Workers’ Compensation in the Setting of Minimally Invasive Lumbar Decompression. World Neurosurgery. 164. e341–e348. 1 indexed citations

14.

Prabhu, Michael C., et al.. (2022). The Effect of the Preoperative Severity of Neck Pain on Patient-Reported Outcome Measures and Minimum Clinically Important Difference Achievement After Anterior Cervical Discectomy and Fusion. World Neurosurgery. 165. e337–e345.

15.

Amin, Kanhai & Keshav Patel. (2022). Role of Psychologists in Pediatric Congenital Heart Disease. Pediatric Clinics of North America. 69(5). 865–878. 6 indexed citations

16.

Amin, Kanhai, et al.. (2022). Does Baseline Mental Health Influence Outcomes among Workers’ Compensation Claimants Undergoing Minimally Invasive Transforaminal Lumbar Interbody Fusion?. Asian Spine Journal. 17(1). 96–108. 3 indexed citations

17.

Amin, Kanhai, et al.. (2019). Reticulocyte hemoglobin content as a function of iron stores at 35–36 weeks post menstrual age in very premature infants. The Journal of Maternal-Fetal & Neonatal Medicine. 34(19). 3214–3219. 7 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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