Yan Tan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
-
- Natural Compounds in Disease Treatment
Papers in
-
- Circular RNAs in diseases 4
- Oncology 16
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Peng Wei (10 shared papers)Zehuan Liao (3 shared papers)Mina Wang (2 shared papers)Yifan Shi (1 shared paper)Xu Wang (1 shared paper)Xianjun Yu (7 shared papers)Xiaomei Zhuang (5 shared papers)Yang Ke (3 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Chinese Journal of Natural Medicines (2 papers)The CRISPR Journal (2 papers)PLoS ONE (2 papers)Cell Biology and Toxicology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yan Tan
108 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 278
- Complementary and alternative medicine 121
- Pharmacology 114
- Molecular Biology 683
- Physiology 214
Countries citing papers authored by Yan Tan
This map shows the geographic impact of Yan 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 Yan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tan more than expected).
Fields of papers citing papers by Yan Tan
This network shows the impact of papers produced by Yan 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 Yan Tan. The network helps show where Yan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 166 | |
| 2 | 2021 | 116 | |
| 3 | 2020 | 91 | |
| 4 | 2018 | 84 | |
| 5 | 2016 | 45 | |
| 6 | 2014 | 44 | |
| 7 | 2020 | 41 | |
| 8 | 2013 | 39 | |
| 9 | 2019 | 39 | |
| 10 | 2018 | 39 | |
| 11 | 2016 | 36 | |
| 12 | 2013 | 35 | |
| 13 | 2014 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2021 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2023 | 31 | |
| 19 | 2014 | 31 | |
| 20 | 2006 | 28 |
About Yan Tan
Yan Tan is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Complementary and alternative medicine, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers), Alzheimer's disease research and treatments (4 papers), Circular RNAs in diseases (4 papers) and Urinary Bladder and Prostate Research (3 papers). The work is most often cited by research in Cancer Research (278 citations), Complementary and alternative medicine (121 citations), Pharmacology (114 citations), Molecular Biology (683 citations) and Physiology (214 citations). Yan Tan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peng Wei, Zehuan Liao, Mina Wang, Yifan Shi, Xu Wang, Xianjun Yu, Xiaomei Zhuang, Yang Ke, Yun Bi and Fan Zhang. Their work appears in journals such as Frontiers in Oncology, Chinese Journal of Natural Medicines, The CRISPR Journal, PLoS ONE and Cell Biology and Toxicology.
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.