Yi Ren
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- RNA Research and Splicing 12
- RNA modifications and cancer 7
- Nuclear Structure and Function 5
-
- Tuberculosis Research and Epidemiology 6
- Co-authors
- Yihu Xie (11 shared papers)Frederick M. Hughson (3 shared papers)Günter Blobel (3 shared papers)Arati Tripathi (2 shared papers)Philip D. Jeffrey (2 shared papers)Hyuk‐Soo Seo (2 shared papers)Faxiang Wang (1 shared paper)Mingxiang Ye (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)eLife (4 papers)Cell Research (2 papers)Frontiers in Immunology (2 papers)Microbial Cell Factories (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Ren
55 papers receiving 1.8k citations
Yi Ren's Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 727
- Cell Biology 254
- Immunology 263
- Molecular Biology 821
- Animal Science and Zoology 97
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 275 | |
| 2 | 2021 | 151 | |
| 3 | Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events Hit paper breakdown → | 2022 | 137 |
| 4 | 2009 | 127 | |
| 5 | 2010 | 91 | |
| 6 | 2010 | 91 | |
| 7 | 2009 | 83 | |
| 8 | 2021 | 75 | |
| 9 | 2019 | 67 | |
| 10 | 2021 | 63 | |
| 11 | 2019 | 54 | |
| 12 | 2007 | 49 | |
| 13 | 2014 | 49 | |
| 14 | 2017 | 40 | |
| 15 | 2020 | 37 | |
| 16 | 2021 | 31 | |
| 17 | 2019 | 31 | |
| 18 | 2021 | 27 | |
| 19 | 2007 | 26 | |
| 20 | 2007 | 23 |
About Yi Ren
Yi Ren is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), RNA modifications and cancer (7 papers), Tuberculosis Research and Epidemiology (6 papers), interferon and immune responses (6 papers), Nuclear Structure and Function (5 papers), Viral Infections and Immunology Research (5 papers), Influenza Virus Research Studies (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Infectious Diseases (727 citations), Cell Biology (254 citations), Immunology (263 citations), Molecular Biology (821 citations) and Animal Science and Zoology (97 citations). Yi Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yihu Xie, Frederick M. Hughson, Günter Blobel, Arati Tripathi, Philip D. Jeffrey, Hyuk‐Soo Seo, Faxiang Wang, Mingxiang Ye, Dong Wang and Dian Fu. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Cell Research, Frontiers in Immunology and Microbial Cell Factories.
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.