Hsu‐Chun Tsai

611 total citations · 1 hit paper
8 papers, 390 citations indexed

About

Hsu‐Chun Tsai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Hsu‐Chun Tsai has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Hsu‐Chun Tsai's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Materials Science (3 papers). Hsu‐Chun Tsai is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Materials Science (3 papers). Hsu‐Chun Tsai collaborates with scholars based in United States, Egypt and China. Hsu‐Chun Tsai's co-authors include Tai‐Sung Lee, Darrin M. York, Yujun Tao, Timothy J. Giese, Charles Lin, Woody Sherman, Brian K. Radak, Bryce K. Allen, T. Dwight McGee and Pengfei Li and has published in prestigious journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling and ChemBioChem.

In The Last Decade

Hsu‐Chun Tsai

8 papers receiving 379 citations

Hit Papers

Alchemical Binding Free Energy Calculations in AMBER20: A... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Hsu‐Chun Tsai
Comparison fields: 5 of 86
  • Molecular Biology 300
  • Computational Theory and Mathematics 144
  • Materials Chemistry 94
  • Atomic and Molecular Physics, and Optics 55
  • Organic Chemistry 24
Replace Mattia Bernetti with:
Mattia Bernetti Italy
Stefano Raniolo Switzerland
Donghyuk Suh United States
S.E. Boyce United States
Jack A. Henderson United States
Jennifer M. Bui Canada
Andrea C. McReynolds United States
Neil J. Bruce Germany
Arman A. Sadybekov United States
Mattia Bernetti Italy View profile →
Citations per field, relative to Hsu‐Chun Tsai
Hsu‐Chun Tsai · 1×
Citations per year, relative to Hsu‐Chun Tsai
Hsu‐Chun Tsai · 1×

Countries citing papers authored by Hsu‐Chun Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Chun Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsu‐Chun Tsai. 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 Hsu‐Chun Tsai. The network helps show where Hsu‐Chun Tsai may publish in the future.

Co-authorship network of co-authors of Hsu‐Chun Tsai

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 2
2 32
3 24
4 18
5
Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery breakdown →
247
6 22
7 44
8 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026