Ya Tan
Impact in
- Biological Psychiatry top 10%
- Physiology top 10%
- Diet and metabolism studies
Papers in
-
- Circular RNAs in diseases 11
- Cancer-related gene regulation 3
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 6
- Co-authors
- Xuewei Li (13 shared papers)Li Zhu (15 shared papers)Shunhua Zhang (13 shared papers)Linyuan Shen (12 shared papers)Lili Niu (6 shared papers)Lin Bai (4 shared papers)Ye Zhao (5 shared papers)Lei Chen (3 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Animals (2 papers)Scientific Reports (2 papers)Journal of Veterinary Science (2 papers)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ya Tan
31 papers receiving 1.1k citations
Ya Tan's Hit Papers
Peers
Comparison fields: 5 of 97
- Biological Psychiatry 34
- Physiology 276
- Cancer Research 131
- Molecular Biology 587
- Nutrition and Dietetics 118
Countries citing papers authored by Ya Tan
This map shows the geographic impact of Ya 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 Ya Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Tan more than expected).
Fields of papers citing papers by Ya Tan
This network shows the impact of papers produced by Ya 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 Ya Tan. The network helps show where Ya Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Short-Chain Fatty Acids and Their Association with Signalling Pathways in Inflammation, Glucose and Lipid Metabolism Hit paper breakdown → | 2020 | 768 |
| 2 | 2020 | 47 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 32 | |
| 5 | 2013 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2018 | 28 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2025 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2019 | 6 | |
| 20 | [Study of the clinical and laboratory features of hand-foot-mouth disease]. | 2008 | 6 |
About Ya Tan
Ya Tan is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Genetics and Infectious Diseases, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circular RNAs in diseases (11 papers), MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (6 papers), interferon and immune responses (3 papers), Cancer-related gene regulation (3 papers), Animal Virus Infections Studies (3 papers), Pregnancy and preeclampsia studies (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Physiology (276 citations), Cancer Research (131 citations), Molecular Biology (587 citations) and Nutrition and Dietetics (118 citations). Ya Tan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xuewei Li, Li Zhu, Shunhua Zhang, Linyuan Shen, Lili Niu, Lin Bai, Ye Zhao, Lei Chen, Peiwen Zhang and Jin He. Their work appears in journals such as International Journal of Molecular Sciences, Animals, Scientific Reports, Journal of Veterinary Science 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.