Hua Tang

58 papers and 3.2k indexed citations i.

About

Hua Tang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Hua Tang has authored 58 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Hua Tang’s work include Machine Learning in Bioinformatics (39 papers), RNA and protein synthesis mechanisms (19 papers) and Genomics and Phylogenetic Studies (17 papers). Hua Tang is often cited by papers focused on Machine Learning in Bioinformatics (39 papers), RNA and protein synthesis mechanisms (19 papers) and Genomics and Phylogenetic Studies (17 papers). Hua Tang collaborates with scholars based in China, United States and Saudi Arabia. Hua Tang's co-authors include Hao Lin, Wei Chen, Yamei Luo, Kuo‐Chen Chou, Dehui Yin, Hui Ding, Ying Ju, Quan Zou, Ya-Wei Zhao and Jing Ye and has published in prestigious journals such as Bioinformatics, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Hua Tang i

Fields of papers citing papers by Hua Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Tang

Since Specialization
Citations

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