Jin Tang
- Cardiology and Cardiovascular Medicine top 2%
- Infectious Diseases top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Pharmacology top 2%
- Co-authors
- Thomas F. ParsonsMichael A. PatanePaul HalesAndrew J. NicholsLawrence R. DickChad VickersKevin GodboutSusan Acton
- Topics
- Environmental Impact and Sustainability (2 papers)Renin-Angiotensin System Studies (2 papers)Land Use and Ecosystem Services (1 paper)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismInfectious Diseases
- Journals
- Journal of Biological ChemistryThe Science of The Total EnvironmentJournal of Cleaner Production
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jin Tang
5 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 751
- Infectious Diseases 544
- Endocrinology, Diabetes and Metabolism 510
- Molecular Biology 436
- Pharmacology 398
Countries citing papers authored by Jin Tang
This map shows the geographic impact of Jin 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 Jin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tang more than expected).
Fields of papers citing papers by Jin Tang
This network shows the impact of papers produced by Jin 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 Jin Tang. The network helps show where Jin Tang may publish in the future.
Co-authorship network of co-authors of Jin Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tang. A scholar is included among the top collaborators of Jin 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 Jin Tang. Jin 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | ACE2 X-Ray Structures Reveal a Large Hinge-bending Motion Important for Inhibitor Binding and Catalysisbreakdown → | 525 |
| 6 | Hydrolysis of Biological Peptides by Human Angiotensin-converting Enzyme-related Carboxypeptidasebreakdown → | 1139 |
About Jin Tang
Jin Tang is a scholar working on Environmental Engineering, Global and Planetary Change and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Environmental Impact and Sustainability (2 papers), Renin-Angiotensin System Studies (2 papers) and Land Use and Ecosystem Services (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (751 citations), Endocrinology, Diabetes and Metabolism (510 citations) and Infectious Diseases (544 citations). Jin Tang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Thomas F. Parsons, Michael A. Patane, Paul Hales, Andrew J. Nichols, Lawrence R. Dick, Chad Vickers, Kevin Godbout, Susan Acton, Virendar K. Kaushik and James M. Gavin. Their work appears in journals such as Journal of Biological Chemistry, The Science of The Total Environment and Journal of Cleaner Production.
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.