Yi Tan
Impact in
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Cell death mechanisms and regulation
- Protein Kinase Regulation and GTPase Signaling
- Kruppel-like factors research
- PI3K/AKT/mTOR signaling in cancer
- Cell Biology top 5%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 2
- Cell death mechanisms and regulation 2
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- Tea Polyphenols and Effects 5
- Co-authors
- Mikhail A. Semenov (1 shared paper)Chun Han (1 shared paper)Gyeong‐Hun Baeg (1 shared paper)Yiming Li (1 shared paper)Xinhua Lin (1 shared paper)Xi He (1 shared paper)Chunming Liu (1 shared paper)Zhuohua Zhang (1 shared paper)
- Journals
- The American Journal of Chinese Medicine (4 papers)Journal of Biological Chemistry (3 papers)BioMed Research International (2 papers)Clinical Science (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Yi Tan
29 papers receiving 3.2k citations
Yi Tan's Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.3k
- Cell Biology 298
- Oncology 385
- Biochemistry 76
- Pharmacology 204
Countries citing papers authored by Yi Tan
This map shows the geographic impact of Yi 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 Yi Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Tan more than expected).
Fields of papers citing papers by Yi Tan
This network shows the impact of papers produced by Yi 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 Yi Tan. The network helps show where Yi Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Control of β-Catenin Phosphorylation/Degradation by a Dual-Kinase Mechanism Hit paper breakdown → | 2002 | 1712 |
| 2 | 2000 | 267 | |
| 3 | 2002 | 224 | |
| 4 | 1999 | 222 | |
| 5 | 2012 | 94 | |
| 6 | 2018 | 84 | |
| 7 | 2017 | 79 | |
| 8 | Connexin43 suppresses MFG-E8 while inducing contact growth inhibition of glioma cells. | 2000 | 67 |
| 9 | 2008 | 57 | |
| 10 | 2013 | 56 | |
| 11 | 2021 | 41 | |
| 12 | 2009 | 35 | |
| 13 | 1994 | 34 | |
| 14 | 2010 | 32 | |
| 15 | 2011 | 32 | |
| 16 | 2018 | 26 | |
| 17 | 2017 | 26 | |
| 18 | 2013 | 24 | |
| 19 | 2015 | 22 | |
| 20 | 2020 | 14 |
About Yi Tan
Yi Tan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Physiology and Pharmacology, having authored 29 papers that have together received 3.2k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cell Biology (298 citations), Oncology (385 citations), Biochemistry (76 citations) and Pharmacology (204 citations). Yi Tan has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Mikhail A. Semenov, Chun Han, Gyeong‐Hun Baeg, Yiming Li, Xinhua Lin, Xi He, Chunming Liu, Zhuohua Zhang, Michael J. Comb and Hong Ruan. Their work appears in journals such as The American Journal of Chinese Medicine, Journal of Biological Chemistry, BioMed Research International, Clinical Science and Molecular and Cellular Biology.
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.