Jing Tang

183 papers and 6.7k indexed citations i.

About

Jing Tang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Jing Tang has authored 183 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 45 papers in Computational Theory and Mathematics and 17 papers in Immunology. Recurrent topics in Jing Tang’s work include Computational Drug Discovery Methods (45 papers), Bioinformatics and Genomic Networks (32 papers) and Pharmacogenetics and Drug Metabolism (10 papers). Jing Tang is often cited by papers focused on Computational Drug Discovery Methods (45 papers), Bioinformatics and Genomic Networks (32 papers) and Pharmacogenetics and Drug Metabolism (10 papers). Jing Tang collaborates with scholars based in Finland, China and United States. Jing Tang's co-authors include Tero Aittokallio, Krister Wennerberg, Jukka Corander, Pekka Marttinen, Jukka Sirén, Bhagwan Yadav, Liye He, Shuyu Zheng, Agnieszka Szwajda and Sushil Kumar Shakyawar and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

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

Fields of papers citing papers by Jing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Tang

Since Specialization
Citations

This map shows the geographic impact of Jing 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 Jing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing 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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2025