Yun Yang
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
-
- SARS-CoV-2 and COVID-19 Research 23
- COVID-19 Clinical Research Studies 4
- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Shuaiyao Lu (10 shared papers)Wenhai Yu (9 shared papers)Weiqi Hong (1 shared paper)Changfa Fan (1 shared paper)Xiawei Wei (1 shared paper)Lei Hong (1 shared paper)H. J. Yang (1 shared paper)Cai He (1 shared paper)
- Journals
- Signal Transduction and Targeted Therapy (8 papers)Emerging Microbes & Infections (2 papers)Nature Communications (2 papers)Scientific Reports (2 papers)Cell (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yun Yang
36 papers receiving 2.8k citations
Yun Yang's Hit Papers
Peers
Comparison fields: 5 of 108
- Infectious Diseases 1.3k
- Molecular Biology 730
- Immunology 217
- Drug Discovery 3
- Neurology 109
Countries citing papers authored by Yun Yang
This map shows the geographic impact of Yun Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Yang more than expected).
Fields of papers citing papers by Yun Yang
This network shows the impact of papers produced by Yun Yang. 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 Yang. The network helps show where Yun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun Yang, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 624 | |
| 2 | 2020 | 541 | |
| 3 | Circular RNA vaccines against SARS-CoV-2 and emerging variants Hit paper breakdown → | 2022 | 511 |
| 4 | 2020 | 198 | |
| 5 | 2022 | 113 | |
| 6 | 2021 | 105 | |
| 7 | 2020 | 102 | |
| 8 | 2021 | 99 | |
| 9 | 2020 | 90 | |
| 10 | 2022 | 55 | |
| 11 | 2015 | 40 | |
| 12 | 2023 | 40 | |
| 13 | 2022 | 39 | |
| 14 | 2025 | 30 | |
| 15 | 2022 | 28 | |
| 16 | 2015 | 27 | |
| 17 | 2014 | 25 | |
| 18 | 2016 | 20 | |
| 19 | 2022 | 17 | |
| 20 | 2020 | 15 |
About Yun Yang
Yun Yang is a scholar working on Infectious Diseases, Immunology, Public Health, Environmental and Occupational Health, Pharmaceutical Science and Molecular Biology, having authored 38 papers that have together received 2.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), COVID-19 Clinical Research Studies (4 papers), Mosquito-borne diseases and control (3 papers), Influenza Virus Research Studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), RNA Interference and Gene Delivery (1 paper), Drug Solubulity and Delivery Systems (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Infectious Diseases (1.3k citations), Molecular Biology (730 citations), Immunology (217 citations), Drug Discovery (3 citations) and Neurology (109 citations). Yun Yang has collaborated with scholars based in China and United States. Frequent co-authors include Shuaiyao Lu, Wenhai Yu, Weiqi Hong, Changfa Fan, Xiawei Wei, Lei Hong, H. J. Yang, Cai He, Zhenfei Bi and Pei Shen. Their work appears in journals such as Signal Transduction and Targeted Therapy, Emerging Microbes & Infections, Nature Communications, Scientific Reports and Cell.
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.