Khanh Tang

11 total papers · 1.4k total citations
6 papers, 650 citations indexed

About

Khanh Tang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Khanh Tang has authored 6 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Khanh Tang’s work include Computational Drug Discovery Methods (4 papers), Microbial Natural Products and Biosynthesis (2 papers) and Machine Learning in Materials Science (2 papers). Khanh Tang is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Microbial Natural Products and Biosynthesis (2 papers) and Machine Learning in Materials Science (2 papers). Khanh Tang collaborates with scholars based in United States and Ukraine. Khanh Tang's co-authors include John J. Irwin, Yurii S. Moroz, Jennifer J. Young, John W. Mayfield, Roger A. Sayle, Reed M. Stein, Yang Ying, Jiankun Lyu, Brian K. Shoichet and Trent E. Balius and has published in prestigious journals such as Tetrahedron Letters and Journal of Chemical Information and Modeling.

Co-authorship network of co-authors of Khanh Tang

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

Khanh Tang

6 papers receiving 634 citations

Fields of papers citing papers by Khanh Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Khanh Tang

Since Specialization
Citations

This map shows the geographic impact of Khanh Tang'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 Khanh Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khanh Tang 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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2026