Yi Ren
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Tuberculosis Research and Epidemiology 5
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- Immunology 11
- interferon and immune responses 7
- Co-authors
- Mingxiang Ye (2 shared papers)Tangfeng Lv (2 shared papers)Yihu Xie (12 shared papers)Frederick M. Hughson (3 shared papers)Günter Blobel (3 shared papers)Arati Tripathi (2 shared papers)Philip D. Jeffrey (2 shared papers)Dong Wang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)eLife (4 papers)Nature Structural & Molecular Biology (2 papers)Nucleic Acids Research (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Ren
57 papers receiving 2.7k citations
Yi Ren's Hit Papers
Peers
Comparison fields: 5 of 132
- Infectious Diseases 1.3k
- Neurology 445
- Immunology 407
- Cell Biology 266
- Animal Science and Zoology 155
Countries citing papers authored by Yi Ren
This map shows the geographic impact of Yi Ren'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 Yi Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ren more than expected).
Fields of papers citing papers by Yi Ren
This network shows the impact of papers produced by Yi Ren. 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 Yi Ren. The network helps show where Yi Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Ren, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 393 | |
| 2 | 2020 | 336 | |
| 3 | 2020 | 311 | |
| 4 | 2021 | 163 | |
| 5 | Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events Hit paper breakdown → | 2022 | 157 |
| 6 | 2009 | 132 | |
| 7 | 2010 | 105 | |
| 8 | 2010 | 94 | |
| 9 | 2021 | 88 | |
| 10 | 2009 | 83 | |
| 11 | 2019 | 71 | |
| 12 | 2021 | 68 | |
| 13 | 2019 | 58 | |
| 14 | 2014 | 54 | |
| 15 | 2007 | 51 | |
| 16 | 2017 | 41 | |
| 17 | 2020 | 38 | |
| 18 | 2021 | 32 | |
| 19 | 2019 | 32 | |
| 20 | 2021 | 30 |
About Yi Ren
Yi Ren is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Epidemiology and Cell Biology, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA modifications and cancer (7 papers), interferon and immune responses (7 papers), Nuclear Structure and Function (6 papers), Tuberculosis Research and Epidemiology (5 papers), Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (445 citations), Immunology (407 citations), Cell Biology (266 citations) and Animal Science and Zoology (155 citations). Yi Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mingxiang Ye, Tangfeng Lv, Yihu Xie, Frederick M. Hughson, Günter Blobel, Arati Tripathi, Philip D. Jeffrey, Dong Wang, Fang Zhang and Faxiang Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Nature Structural & Molecular Biology, Nucleic Acids Research and Frontiers in Immunology.
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.