Kaihsu Tai

27 papers and 1.0k indexed citations i.

About

Kaihsu Tai is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Kaihsu Tai has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Kaihsu Tai’s work include Metabolic Engineering and Synthetic Biology (7 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (7 papers). Kaihsu Tai is often cited by papers focused on Metabolic Engineering and Synthetic Biology (7 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (7 papers). Kaihsu Tai collaborates with scholars based in United Kingdom, United States and France. Kaihsu Tai's co-authors include Mark S.P. Sansom, J. Andrew McCammon, Tongye Shen, Oliver Beckstein, Richard H. Henchman, Ulf Börjesson, Marios Philippopoulos, P. W. Fowler, Jennifer M. Bui and Andrew Hung and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Accounts of Chemical Research.

In The Last Decade

Co-authorship network of co-authors of Kaihsu Tai i

Fields of papers citing papers by Kaihsu Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaihsu Tai

Since Specialization
Citations

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

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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