Yun Tian
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 4
- Viral gastroenteritis research and epidemiology 2
- Health top 5%
- Vaccine Coverage and Hesitancy 6
- Modeling and Simulation top 5%
- Animal Science and Zoology top 10%
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- Ocular Diseases and Behçet’s Syndrome 2
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- Cancer, Hypoxia, and Metabolism 2
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- Antibiotic Resistance in Bacteria 2
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- Inflammatory Bowel Disease 2
- Co-authors
- Yi LuoHung Fu TsengBradley K. AckersonKatia BruxvoortLina S. SyLei QianAna FloreaJulia E. Tubert
- Journals
- Nature Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Yun Tian
26 papers receiving 802 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Infectious Diseases 448
- Health 165
- Modeling and Simulation 63
- Applied Microbiology and Biotechnology 17
- Animal Science and Zoology 61
Countries citing papers authored by Yun Tian
This map shows the geographic impact of Yun 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 Yun Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Tian more than expected).
Fields of papers citing papers by Yun Tian
This network shows the impact of papers produced by Yun 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 Yun Tian. The network helps show where Yun Tian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 9 | |
| 4 | Effectiveness of mRNA-1273 against SARS-CoV-2 Omicron and Delta variantsbreakdown → | 2022 | 315 |
| 5 | 2022 | 2 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 30 | |
| 10 | 2021 | 64 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 12 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 30 | |
| 15 | 2015 | 66 | |
| 16 | 2014 | 44 | |
| 17 | 2014 | 12 | |
| 18 | [Effect of chronic lead exposure on expression of autophagy-associated proteins in rat hippocampus]. | 2012 | 2 |
| 19 | 2009 | 35 | |
| 20 | 2009 | 4 |
About Yun Tian
Yun Tian is a scholar working on Health, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 27 papers that have together received 808 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Vaccine Coverage and Hesitancy (6 papers), COVID-19 Clinical Research Studies (4 papers), Ocular Diseases and Behçet’s Syndrome (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Infectious Diseases (448 citations), Health (165 citations) and Modeling and Simulation (63 citations). Yun Tian has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Yi Luo, Hung Fu Tseng, Bradley K. Ackerson, Katia Bruxvoort, Lina S. Sy, Lei Qian, Ana Florea, Julia E. Tubert, Carla Talarico and Gina S. Lee. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.