Li Tan
Impact in
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Protein Kinase Regulation and GTPase Signaling
- Fibroblast Growth Factor Research
- Cancer Research top 5%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 8
- Protein Degradation and Inhibitors 6
- Co-authors
- Nathanael S. Gray (32 shared papers)Hwan Geun Choi (6 shared papers)Jieshou Li (5 shared papers)Eric S. Fischer (2 shared papers)Ying Li (9 shared papers)James D. Griffin (4 shared papers)Ellen Weisberg (4 shared papers)Philip Cohen (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)Proceedings of the National Academy of Sciences (5 papers)PLoS ONE (5 papers)ACS Chemical Biology (5 papers)Blood (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Tan
202 papers receiving 6k citations
Li Tan's Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.3k
- Cancer Research 373
- Oncology 457
- Computational Theory and Mathematics 307
- Genetics 157
Countries citing papers authored by Li Tan
This map shows the geographic impact of Li Tan'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 Li Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Tan more than expected).
Fields of papers citing papers by Li Tan
This network shows the impact of papers produced by Li Tan. 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 Li Tan. The network helps show where Li Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 360 | |
| 2 | 2020 | 279 | |
| 3 | 2018 | 194 | |
| 4 | 2012 | 184 | |
| 5 | 2018 | 166 | |
| 6 | 2014 | 162 | |
| 7 | 2018 | 138 | |
| 8 | 2013 | 130 | |
| 9 | 2005 | 108 | |
| 10 | A palmitoylation–depalmitoylation relay spatiotemporally controls GSDMD activation in pyroptosis Hit paper breakdown → | 2024 | 107 |
| 11 | 2014 | 106 | |
| 12 | 2017 | 106 | |
| 13 | 2016 | 105 | |
| 14 | 2015 | 101 | |
| 15 | 2014 | 100 | |
| 16 | 2020 | 100 | |
| 17 | 2005 | 95 | |
| 18 | 2021 | 95 | |
| 19 | 2016 | 94 | |
| 20 | 2014 | 83 |
About Li Tan
Li Tan is a scholar working on Molecular Biology, Cancer Research, Nutrition and Dietetics, Immunology and Reproductive Medicine, having authored 209 papers that have together received 6.2k indexed citations. Recurring topics across this work include Synthesis and biological activity (9 papers), Lung Cancer Treatments and Mutations (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Protein Degradation and Inhibitors (6 papers), Fatty Acid Research and Health (6 papers), Clinical Nutrition and Gastroenterology (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Corneal Surgery and Treatments (5 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cancer Research (373 citations), Oncology (457 citations), Computational Theory and Mathematics (307 citations) and Genetics (157 citations). Li Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nathanael S. Gray, Hwan Geun Choi, Jieshou Li, Eric S. Fischer, Ying Li, James D. Griffin, Ellen Weisberg, Philip Cohen, Zainab M. Doctor and Guang Yang. Their work appears in journals such as Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, PLoS ONE, ACS Chemical Biology and Blood.
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.