Yan Tan
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Periodontics top 5%
Papers in
-
- RNA Interference and Gene Delivery 12
- Advanced biosensing and bioanalysis techniques 11
- PI3K/AKT/mTOR signaling in cancer 4
- Heme Oxygenase-1 and Carbon Monoxide 3
- RNA and protein synthesis mechanisms 3
- Immunology 12
- Co-authors
- Barbara S. Coulson (4 shared papers)Jake Baum (4 shared papers)Kate L. Graham (3 shared papers)Eric Hanssen (2 shared papers)Wilson Wong (2 shared papers)Melanie Condron (2 shared papers)Alan Brown (1 shared paper)Sjors H. W. Scheres (1 shared paper)
- Journals
- Journal of Virology (4 papers)ACS Applied Materials & Interfaces (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Yan Tan
63 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 126
- Structural Biology 109
- Periodontics 73
- Immunology 269
- Neurology 98
- Molecular Biology 816
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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 242 | |
| 2 | 2003 | 130 | |
| 3 | 2020 | 89 | |
| 4 | 2014 | 65 | |
| 5 | 2009 | 63 | |
| 6 | 2008 | 63 | |
| 7 | 2019 | 59 | |
| 8 | 2020 | 58 | |
| 9 | 2015 | 57 | |
| 10 | 2013 | 53 | |
| 11 | 2007 | 52 | |
| 12 | 2002 | 51 | |
| 13 | 2013 | 47 | |
| 14 | 2007 | 46 | |
| 15 | 2019 | 45 | |
| 16 | 2021 | 43 | |
| 17 | 2020 | 37 | |
| 18 | 2022 | 37 | |
| 19 | 2017 | 34 | |
| 20 | 2016 | 34 |
About Yan Tan
Yan Tan is a scholar working on Molecular Biology, Immunology, Cancer Research, Pharmacology and Neurology, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Structural Biology (109 citations), Periodontics (73 citations), Immunology (269 citations), Neurology (98 citations) and Molecular Biology (816 citations). Yan Tan has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Barbara S. Coulson, Jake Baum, Kate L. Graham, Eric Hanssen, Wilson Wong, Melanie Condron, Alan Brown, Sjors H. W. Scheres, Xiao‐chen Bai and I.S. Fernandez. Their work appears in journals such as Journal of Virology, ACS Applied Materials & Interfaces, PLoS ONE, Scientific Reports and Journal of Ethnopharmacology.
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.