Li Tan
Impact in
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
-
- Melanoma and MAPK Pathways 8
- Biological Activity of Diterpenoids and Biflavonoids 6
- Oncology 25
- HER2/EGFR in Cancer Research 7
- Co-authors
- Nathanael S. Gray (34 shared papers)Jieshou Li (5 shared papers)Hwan Geun Choi (6 shared papers)Eric S. Fischer (2 shared papers)Ying Li (9 shared papers)Ellen Weisberg (5 shared papers)James D. Griffin (4 shared papers)Philip Cohen (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)ACS Chemical Biology (6 papers)PLoS ONE (5 papers)Blood (4 papers)International Immunopharmacology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Tan
225 papers receiving 5.2k citations
Li Tan's Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 2.6k
- Immunology and Allergy 197
- Oncology 843
- Hematology 303
- Immunology 513
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 237 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Chemoproteomic Approach to Query the Degradable Kinome Using a Multi-kinase Degrader Hit paper breakdown → | 2017 | 337 |
| 2 | 2018 | 186 | |
| 3 | 2012 | 178 | |
| 4 | 2018 | 159 | |
| 5 | 2018 | 128 | |
| 6 | 2013 | 124 | |
| 7 | 2005 | 108 | |
| 8 | 2014 | 103 | |
| 9 | 2014 | 96 | |
| 10 | 2005 | 94 | |
| 11 | 2015 | 93 | |
| 12 | 2016 | 91 | |
| 13 | 2020 | 88 | |
| 14 | 2016 | 88 | |
| 15 | A palmitoylation–depalmitoylation relay spatiotemporally controls GSDMD activation in pyroptosis Hit paper breakdown → | 2024 | 86 |
| 16 | 2007 | 80 | |
| 17 | 2014 | 79 | |
| 18 | 2023 | 76 | |
| 19 | 2011 | 74 | |
| 20 | 2022 | 69 |
About Li Tan
Li Tan is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Physiology, having authored 237 papers that have together received 5.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), HER2/EGFR in Cancer Research (7 papers), Cervical Cancer and HPV Research (7 papers), Corneal surgery and disorders (7 papers), interferon and immune responses (6 papers), Biological Activity of Diterpenoids and Biflavonoids (6 papers), Smoking Behavior and Cessation (6 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Immunology and Allergy (197 citations), Oncology (843 citations), Hematology (303 citations) and Immunology (513 citations). Li Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nathanael S. Gray, Jieshou Li, Hwan Geun Choi, Eric S. Fischer, Ying Li, Ellen Weisberg, James D. Griffin, Philip Cohen, Hong Chen and Zainab M. Doctor. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Chemical Biology, PLoS ONE, Blood and International Immunopharmacology.
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.