Arya Rao

1.3k total citations · 1 hit paper
21 papers, 524 citations indexed

About

Arya Rao is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Arya Rao has authored 21 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Informatics, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Arya Rao's work include Artificial Intelligence in Healthcare and Education (9 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Arya Rao is often cited by papers focused on Artificial Intelligence in Healthcare and Education (9 papers), COVID-19 diagnosis using AI (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Arya Rao collaborates with scholars based in United States, Australia and Switzerland. Arya Rao's co-authors include Marc D. Succi, Keith J. Dreyer, John Kim, Michael Pang, Winston Lie, Meghana Kamineni, Adam Landman, A Prasad, Efrén J. Flores and Cameron C. Young and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Pain.

In The Last Decade

Arya Rao

17 papers receiving 521 citations

Hit Papers

Assessing the Utility of ChatGPT Throughout the Entire Cl... 2023 2026 2024 2025 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study
    2023 228 citations Arya Rao, Michael Pang et al. Journal of Medical Internet Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arya Rao United States 7 390 224 202 53 44 21 524
Ryan S. Huang Canada 11 290 0.7× 231 1.0× 117 0.6× 49 0.9× 22 0.5× 73 460
Patricia L. Zadnik Sullivan United States 3 292 0.7× 167 0.7× 90 0.4× 50 0.9× 24 0.5× 5 353
Samir Touma Canada 6 326 0.8× 264 1.2× 96 0.5× 59 1.1× 13 0.3× 14 456
Eric Strong United States 4 188 0.5× 66 0.3× 103 0.5× 57 1.1× 20 0.5× 5 319
Hanzhou Li United States 6 182 0.5× 146 0.7× 85 0.4× 15 0.3× 24 0.5× 24 350
Zhi Wei Lim Singapore 8 173 0.4× 208 0.9× 75 0.4× 14 0.3× 19 0.4× 13 357
Cherry Sit United Kingdom 6 254 0.7× 162 0.7× 71 0.4× 27 0.5× 11 0.3× 7 351
Robert Kaczmarczyk Germany 7 179 0.5× 80 0.4× 81 0.4× 21 0.4× 71 1.6× 21 370
Anna Theresa Stüber Germany 4 245 0.6× 175 0.8× 142 0.7× 17 0.3× 28 0.6× 11 358
John T. Moon United States 7 178 0.5× 101 0.5× 83 0.4× 15 0.3× 26 0.6× 26 335

Countries citing papers authored by Arya Rao

Since Specialization
Citations

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

Fields of papers citing papers by Arya Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arya Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Arya Rao. A scholar is included among the top collaborators of Arya Rao 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 Arya Rao. Arya Rao 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.
2.
Succi, Marc D., Bernard S. Chang, & Arya Rao. (2025). Building the AI-Enabled Medical School of the Future. JAMA. 333(19). 1665–1665. 2 indexed citations
3.
Rao, Arya, D. Gupta, William H. Marks, et al.. (2025). A Future of Self-Directed Patient Internet Research: Large Language Model-Based Tools Versus Standard Search Engines. Annals of Biomedical Engineering. 53(5). 1199–1208. 2 indexed citations
4.
Rao, Arya, John Kim, Cameron C. Young, et al.. (2025). Synthetic medical education in dermatology leveraging generative artificial intelligence. npj Digital Medicine. 8(1). 247–247.
5.
Rao, Arya, Elizabeth le Roux, Chau D Vo, et al.. (2025). Large language models as cost-conscious decision aids in emergency medicine: protocol support for imaging in lower back pain. Emergency Radiology. 33(1). 53–59.
6.
Rao, Arya, Sarah Wagner, John Kim, et al.. (2025). A large language model-guided approach to the focused physical exam. 8. 25–25. 2 indexed citations
7.
Luan, Anna, Arya Rao, William Renthal, et al.. (2025). 33. Machine Learning Approach to Predict Pain Outcomes Following Primary and Secondary Targeted Muscle Reinnervation in Amputees. Plastic & Reconstructive Surgery Global Open. 13(S2). 16–17.
8.
Succi, Marc D., et al.. (2024). Empowering Radiology’s Future: A Proposed Leadership and Innovation Framework for a Radiology Department. Journal of the American College of Radiology. 21(10). 1616–1619. 1 indexed citations
9.
10.
Young, Cameron C., et al.. (2024). Racial, ethnic, and sex bias in large language model opioid recommendations for pain management. Pain. 166(3). 511–517. 7 indexed citations
11.
Young, Cameron C., et al.. (2024). Diagnostic Accuracy of a Custom Large Language Model on Rare Pediatric Disease Case Reports. American Journal of Medical Genetics Part A. 197(2). e63878–e63878. 9 indexed citations
12.
13.
Kim, John, et al.. (2024). Risk stratification of potential drug interactions involving common over-the-counter medications and herbal supplements by a large language model. Journal of the American Pharmacists Association. 65(1). 102304–102304. 4 indexed citations
14.
Rao, Arya, John Kim, Winston Lie, et al.. (2024). Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care. Journal of Medical Systems. 48(1). 41–41. 18 indexed citations
15.
16.
Rao, Arya, Michael Pang, John Kim, et al.. (2023). Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study. Journal of Medical Internet Research. 25. e48659–e48659. 228 indexed citations breakdown →
17.
Rao, Arya, John Kim, Meghana Kamineni, et al.. (2023). Evaluating GPT as an Adjunct for Radiologic Decision Making: GPT-4 Versus GPT-3.5 in a Breast Imaging Pilot. Journal of the American College of Radiology. 20(10). 990–997. 189 indexed citations
18.
19.
Rao, Arya, Efrén J. Flores, Michael H. Lev, et al.. (2023). Empathy and Equity: Key Considerations for Large Language Model Adoption in Health Care. JMIR Medical Education. 9. e51199–e51199. 18 indexed citations
20.
Yang, Lu, Julie Peng, Ana Pinharanda, et al.. (2019). Adaptive substitutions underlying cardiac glycoside insensitivity in insects exhibit epistasis in vivo. eLife. 8. 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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