Tao Huang

361 papers and 8.1k indexed citations i.

About

Tao Huang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Tao Huang has authored 361 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 255 papers in Molecular Biology, 57 papers in Cancer Research and 48 papers in Computational Theory and Mathematics. Recurrent topics in Tao Huang’s work include Machine Learning in Bioinformatics (106 papers), Bioinformatics and Genomic Networks (82 papers) and Computational Drug Discovery Methods (48 papers). Tao Huang is often cited by papers focused on Machine Learning in Bioinformatics (106 papers), Bioinformatics and Genomic Networks (82 papers) and Computational Drug Discovery Methods (48 papers). Tao Huang collaborates with scholars based in China, United States and Denmark. Tao Huang's co-authors include Yu‐Dong Cai, Lei Chen, Yuhang Zhang, Xiangyin Kong, Kaiyan Feng, Le‐Le Hu, Xiaoyong Pan, Yixue Li, Shaopeng Wang and Biqing Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Tao Huang i

Fields of papers citing papers by Tao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tao Huang

Since Specialization
Citations

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