Ryan S. Huang

1.0k total citations
73 papers, 460 citations indexed

About

Ryan S. Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Informatics. According to data from OpenAlex, Ryan S. Huang has authored 73 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Ophthalmology and 15 papers in Health Informatics. Recurrent topics in Ryan S. Huang's work include Artificial Intelligence in Healthcare and Education (15 papers), Retinal Imaging and Analysis (14 papers) and Retinal and Optic Conditions (13 papers). Ryan S. Huang is often cited by papers focused on Artificial Intelligence in Healthcare and Education (15 papers), Retinal Imaging and Analysis (14 papers) and Retinal and Optic Conditions (13 papers). Ryan S. Huang collaborates with scholars based in Canada, United States and Israel. Ryan S. Huang's co-authors include Andrew Mihalache, Nikhil S. Patil, Marko M. Popovic, Rajeev H. Muni, Christian B. van der Pol, Peter J. Kertes, Andrea R. Spence, Haim A. Abenhaim, Fok‐Han Leung and Christopher Meaney and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Ryan S. Huang

55 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan S. Huang Canada 11 290 231 117 65 49 73 460
Andrew Mihalache Canada 11 334 1.2× 370 1.6× 95 0.8× 216 3.3× 57 1.2× 65 586
Samantha Min Er Yew Singapore 4 200 0.7× 136 0.6× 93 0.8× 29 0.4× 20 0.4× 8 299
Zhi Wei Lim Singapore 8 173 0.6× 208 0.9× 75 0.6× 118 1.8× 14 0.3× 13 357
Hanzhou Li United States 6 182 0.6× 146 0.6× 85 0.7× 15 0.2× 15 0.3× 24 350
Daniel Milad Canada 8 339 1.2× 272 1.2× 95 0.8× 99 1.5× 62 1.3× 32 511
Karen L. Christopher United States 11 100 0.3× 187 0.8× 35 0.3× 184 2.8× 14 0.3× 45 465
Rohit Srinivasan United Kingdom 7 254 0.9× 163 0.7× 71 0.6× 7 0.1× 27 0.6× 16 403
Jonathan El‐Khoury Canada 5 300 1.0× 216 0.9× 87 0.7× 57 0.9× 57 1.2× 13 391
Takanobu Hirosawa Japan 9 309 1.1× 161 0.7× 158 1.4× 8 0.1× 90 1.8× 31 489
Ann Shue United States 6 99 0.3× 97 0.4× 35 0.3× 73 1.1× 17 0.3× 17 219

Countries citing papers authored by Ryan S. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ryan S. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan S. Huang. 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 Ryan S. Huang. The network helps show where Ryan S. Huang may publish in the future.

Co-authorship network of co-authors of Ryan S. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan S. Huang. A scholar is included among the top collaborators of Ryan S. Huang 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 Ryan S. Huang. Ryan S. Huang 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.
Huang, Ryan S., David Chen, Andrew Mihalache, et al.. (2025). Patient-Reported Outcomes as Prognostic Indicators for Overall Survival in Cancer. JAMA Oncology. 11(11). 1303–1303.
3.
Mihalache, Andrew, Ryan S. Huang, David Sarraf, et al.. (2025). Predicting treatment response in retinal vein occlusions using baseline optical coherence tomography biomarkers: A systematic review. Survey of Ophthalmology. 71(1). 100–118.
4.
Huang, Ryan S., et al.. (2025). Treatment Outcomes of Eosinophilic Fasciitis: A Systematic Review. Journal of Cutaneous Medicine and Surgery. 29(6). 634–636.
5.
6.
Huang, Ryan S., Andrew Mihalache, Marko M. Popovic, et al.. (2025). Sociodemographic disparities in eye examinations: A nationally representative survey analysis. SHILAP Revista de lepidopterología. 2(2). 100125–100125.
7.
Huang, Ryan S., Andrew Mihalache, Jeong‐Min Hwang, et al.. (2024). Endophthalmitis after Bilateral Same-day versus Unilateral Intravitreal Injection. Ophthalmology Retina. 9(5). 493–495. 2 indexed citations
8.
Mihalache, Andrew, Ryan S. Huang, Marko M. Popovic, et al.. (2024). Interpretation of Clinical Retinal Images Using an Artificial Intelligence Chatbot. Ophthalmology Science. 4(6). 100556–100556. 13 indexed citations
9.
Huang, Ryan S., Andrew Mihalache, Marko M. Popovic, et al.. (2024). Artificial intelligence-based extraction of quantitative ultra-widefield fluorescein angiography parameters in retinal vein occlusion. Canadian Journal of Ophthalmology. 60(3). 177–185. 1 indexed citations
10.
Felfeli, Tina, et al.. (2024). Assessment of predictive value of artificial intelligence for ophthalmic diseases using electronic health records: A systematic review and meta-analysis. SHILAP Revista de lepidopterología. 7. 100124–100124. 1 indexed citations
11.
Li, Xiaole, Ryan S. Huang, Andrew Mihalache, et al.. (2024). Face Masking and Risk of Endophthalmitis after Intravitreal Injection. Ophthalmology. 132(5). 578–589. 3 indexed citations
12.
Mihalache, Andrew, Ryan S. Huang, Nikhil S. Patil, et al.. (2024). PARS PLANA VITRECTOMY WITH OR WITHOUT INTERNAL LIMITING MEMBRANE PEEL FOR MACULAR HOLE. Retina. 44(3). 381–391. 2 indexed citations
13.
Huang, Ryan S., Andrew Mihalache, Marko M. Popovic, et al.. (2024). Loss to Follow-Up in Patients With Proliferative Diabetic Retinopathy or Diabetic Macular Edema. JAMA Network Open. 7(12). e2450942–e2450942. 5 indexed citations
14.
15.
Patil, Nikhil S., et al.. (2024). Artificial Intelligence Chatbots’ Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios. Canadian Association of Radiologists Journal. 75(3). 518–524. 3 indexed citations
16.
Huang, Ryan S., Nikhil S. Patil, Andrew Mihalache, et al.. (2024). SOCIAL DETERMINANTS OF HEALTH IN AGE-RELATED MACULAR DEGENERATION. Retina. 45(4). 703–713. 1 indexed citations
17.
Huang, Ryan S., Andrew Mihalache, Jim Shenchu Xie, et al.. (2024). Sex-Related Differences in Speaker Introductions at Ophthalmology Grand Rounds. American Journal of Ophthalmology. 271. 79–85. 1 indexed citations
18.
Huang, Ryan S., et al.. (2023). Humanism in Canadian medicine: from the Rockies to the Atlantic. SHILAP Revista de lepidopterología. 15(2). 97–98. 1 indexed citations
19.
Huang, Ryan S., et al.. (2023). Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study. JMIR Medical Education. 9. e50514–e50514. 37 indexed citations
20.
Mihalache, Andrew, Ryan S. Huang, Nikhil S. Patil, et al.. (2023). Association Between Vision Difficulty and Sociodemographic Factors in Children: A Population-Based Analysis. American Journal of Ophthalmology. 257. 227–235. 3 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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