Jing Tang
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.1%
- Genetics top 2%
- Oncology top 5%
- Pharmacology top 2%
- Co-authors
- Tero AittokallioKrister WennerbergJukka CoranderPekka MarttinenJukka SirénBhagwan YadavAgnieszka SzwajdaLiye He
- Topics
- Computational Drug Discovery Methods (45 papers)Bioinformatics and Genomic Networks (32 papers)Pharmacogenetics and Drug Metabolism (10 papers)
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Jing Tang
185 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 4.1k
- Computational Theory and Mathematics 2.0k
- Genetics 774
- Oncology 678
- Pharmacology 487
Countries citing papers authored by Jing Tang
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).
Fields of papers citing papers by Jing Tang
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.
Co-authorship network of co-authors of Jing Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Tang. A scholar is included among the top collaborators of Jing 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 Jing Tang. Jing Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 5 | |
| 9 | 99 | |
| 10 | 65 | |
| 11 | 8 | |
| 12 | 64 | |
| 13 | 33 | |
| 14 | 79 | |
| 15 | 61 | |
| 16 | 157 | |
| 17 | 55 | |
| 18 | 11 | |
| 19 | 133 | |
| 20 | 77 |
About Jing Tang
Jing Tang is a scholar working on Computational Theory and Mathematics, Biological Psychiatry and Molecular Biology, having authored 206 papers that have together received 7.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (45 papers), Bioinformatics and Genomic Networks (32 papers) and Pharmacogenetics and Drug Metabolism (10 papers). The work is most often cited by research in Computational Theory and Mathematics (2.0k citations), Molecular Biology (4.1k citations) and Biological Psychiatry (139 citations). Jing Tang has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Tero Aittokallio, Krister Wennerberg, Jukka Corander, Pekka Marttinen, Jukka Sirén, Bhagwan Yadav, Agnieszka Szwajda, Liye He, Sushil Kumar Shakyawar and Wenyu Wang. Their work appears in journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.
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.