Ryan H. Hsu

13 total papers · 737 total citations
5 papers, 430 citations indexed

About

Ryan H. Hsu is a scholar working on Molecular Biology, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Ryan H. Hsu has authored 5 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Ryan H. Hsu's work include Data Stream Mining Techniques (1 paper), Nonlinear Photonic Systems (1 paper) and Diabetes Treatment and Management (1 paper). Ryan H. Hsu is often cited by papers focused on Data Stream Mining Techniques (1 paper), Nonlinear Photonic Systems (1 paper) and Diabetes Treatment and Management (1 paper). Ryan H. Hsu collaborates with scholars based in United States. Ryan H. Hsu's co-authors include Ophelia S. Venturelli, Rebecca Lau, Alex V. Carr, Susan Hromada, Benjamin P. Bowen, Trent R. Northen, Adam P. Arkin, Philip A. Romero, Ryan L. Clark and Jin Tan and has published in prestigious journals such as Molecular Systems Biology, Liver Transplantation and Cell Systems.

In The Last Decade

Ryan H. Hsu

4 papers receiving 426 citations

Hit Papers

Deciphering microbial int... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ryan H. Hsu 297 104 81 58 55 5 430
Jacob D. Palmer 201 0.7× 106 1.0× 57 0.7× 22 0.4× 38 0.7× 8 376
Gracia Bonilla 372 1.3× 86 0.8× 141 1.7× 57 1.0× 76 1.4× 11 495
Stefany Moreno-Gámez 161 0.5× 55 0.5× 142 1.8× 39 0.7× 35 0.6× 8 419
Matthias Kahm 215 0.7× 60 0.6× 70 0.9× 10 0.2× 42 0.8× 4 483
Rogan Carr 377 1.3× 79 0.8× 50 0.6× 8 0.1× 19 0.3× 7 488
Brandon H. Schlomann 238 0.8× 65 0.6× 71 0.9× 11 0.2× 24 0.4× 10 395
Lisa Lamberti 177 0.6× 56 0.5× 70 0.9× 25 0.4× 11 0.2× 7 383
Dave van Ditmarsch 260 0.9× 71 0.7× 170 2.1× 62 1.1× 54 1.0× 10 384
Chang‐Yu Chang 233 0.8× 118 1.1× 97 1.2× 87 1.5× 42 0.8× 9 410
Jacquelynn Benjamino 224 0.8× 116 1.1× 73 0.9× 8 0.1× 18 0.3× 7 409

Countries citing papers authored by Ryan H. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ryan H. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan H. Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan H. Hsu. A scholar is included among the top collaborators of Ryan H. Hsu 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 H. Hsu. Ryan H. Hsu 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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