Ryan S. Huang

132 total papers · 954 total citations
68 papers, 430 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 68 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 22 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 (13 papers) and Retinal and Optic Conditions (12 papers). Ryan S. Huang is often cited by papers focused on Artificial Intelligence in Healthcare and Education (15 papers), Retinal Imaging and Analysis (13 papers) and Retinal and Optic Conditions (12 papers). Ryan S. Huang collaborates with scholars based in Canada, United States and Ireland. 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, Haim A. Abenhaim, Andrea R. Spence, 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

51 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryan S. Huang 282 219 116 59 49 68 430
Karen L. Christopher 98 0.3× 184 0.8× 35 0.3× 177 3.0× 14 0.3× 44 450
Daniel Milad 325 1.2× 260 1.2× 93 0.8× 93 1.6× 61 1.2× 31 488
Takanobu Hirosawa 296 1.0× 160 0.7× 158 1.4× 8 0.1× 89 1.8× 31 470
Bita Momenaei 85 0.3× 196 0.9× 21 0.2× 194 3.3× 7 0.1× 40 371
Pajaree Krisanapan 198 0.7× 78 0.4× 114 1.0× 5 0.1× 10 0.2× 43 447
Mert Karabacak 144 0.5× 120 0.5× 62 0.5× 5 0.1× 21 0.4× 72 421
Eniola Oluyemi 177 0.6× 279 1.3× 168 1.4× 3 0.1× 7 0.1× 59 481
Shawn Khan 65 0.2× 79 0.4× 23 0.2× 7 0.1× 10 0.2× 48 482
Hirotaka Takita 240 0.9× 243 1.1× 115 1.0× 1 0.0× 17 0.3× 31 445
Raffaele Raimondi 51 0.2× 197 0.9× 12 0.1× 264 4.5× 6 0.1× 36 391

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

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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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