Yan Tian
Impact in
- Biological Psychiatry top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Lan Tan (10 shared papers)Jin‐Tai Yu (9 shared papers)Hui-Fu Wang (2 shared papers)Chen‐Chen Tan (2 shared papers)Jun Wang (2 shared papers)Ying Liu (2 shared papers)Meng‐Shan Tan (2 shared papers)Lin Tan (2 shared papers)
- Journals
- Brain Research (3 papers)Journal of Alzheimer s Disease (2 papers)Scientific Reports (2 papers)Growth Factors (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yan Tian
22 papers receiving 677 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 42
- Cancer Research 218
- Neurology 64
- Psychiatry and Mental health 73
- Molecular Biology 330
Countries citing papers authored by Yan Tian
This map shows the geographic impact of Yan Tian'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 Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tian more than expected).
Fields of papers citing papers by Yan Tian
This network shows the impact of papers produced by Yan Tian. 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 Tian. The network helps show where Yan Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Tian, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 137 | |
| 2 | 2015 | 118 | |
| 3 | 2021 | 68 | |
| 4 | 2008 | 60 | |
| 5 | 2010 | 43 | |
| 6 | 2011 | 37 | |
| 7 | 2017 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2013 | 27 | |
| 10 | 2018 | 24 | |
| 11 | 2010 | 23 | |
| 12 | 2010 | 21 | |
| 13 | 2022 | 16 | |
| 14 | 2019 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2018 | 7 | |
| 19 | 2022 | 5 | |
| 20 | [EZH2 gene silenced by siRNA suppresses the growth and invasion of endometrial carcinoma cells]. | 2013 | 3 |
About Yan Tian
Yan Tian is a scholar working on Molecular Biology, Cancer Research, Physiology, Immunology and Pharmacology, having authored 22 papers that have together received 701 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Alzheimer's disease research and treatments (4 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (3 papers), Galectins and Cancer Biology (2 papers), Peptidase Inhibition and Analysis (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Cancer Research (218 citations), Neurology (64 citations), Psychiatry and Mental health (73 citations) and Molecular Biology (330 citations). Yan Tian has collaborated with scholars based in China and United States. Frequent co-authors include Lan Tan, Jin‐Tai Yu, Hui-Fu Wang, Chen‐Chen Tan, Jun Wang, Ying Liu, Meng‐Shan Tan, Lin Tan, Dan Miao and Teng Jiang. Their work appears in journals such as Brain Research, Journal of Alzheimer s Disease, Scientific Reports, Growth Factors and Cancer Biology & Therapy.
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.