Yize Li
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Immunology top 5%
- interferon and immune responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 12
- Viral gastroenteritis research and epidemiology 6
- Viral Infections and Vectors 6
- SARS-CoV-2 detection and testing 3
-
- RNA regulation and disease 6
- RNA Research and Splicing 4
- Co-authors
- Susan R. Weiss (26 shared papers)Robert H. Silverman (13 shared papers)Stephen A. Goldstein (5 shared papers)Beihua Dong (7 shared papers)Shuvojit Banerjee (5 shared papers)Christina Gaughan (5 shared papers)Ralph S. Baric (3 shared papers)Boyd L. Yount (3 shared papers)
- Journals
- Journal of Virology (9 papers)Proceedings of the National Academy of Sciences (6 papers)mBio (4 papers)Food Bioscience (1 paper)Microbiology Spectrum (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yize Li
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 96
- Infectious Diseases 810
- Immunology 528
- Animal Science and Zoology 205
- Developmental Neuroscience 51
- Molecular Biology 699
Countries citing papers authored by Yize Li
This map shows the geographic impact of Yize Li'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 Yize Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yize Li more than expected).
Fields of papers citing papers by Yize Li
This network shows the impact of papers produced by Yize Li. 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 Yize Li. The network helps show where Yize Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yize Li, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 193 | |
| 2 | 2020 | 168 | |
| 3 | 2021 | 149 | |
| 4 | 2017 | 121 | |
| 5 | 2016 | 112 | |
| 6 | 2019 | 76 | |
| 7 | 2014 | 67 | |
| 8 | 2017 | 62 | |
| 9 | 2021 | 62 | |
| 10 | 2019 | 50 | |
| 11 | 2017 | 49 | |
| 12 | 2021 | 47 | |
| 13 | 2013 | 47 | |
| 14 | 2021 | 46 | |
| 15 | 2015 | 42 | |
| 16 | 2016 | 34 | |
| 17 | 2019 | 31 | |
| 18 | 2019 | 29 | |
| 19 | 2015 | 29 | |
| 20 | 2020 | 24 |
About Yize Li
Yize Li is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Animal Science and Zoology and Epidemiology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), interferon and immune responses (11 papers), Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (6 papers), RNA regulation and disease (6 papers), Viral Infections and Vectors (6 papers), RNA Research and Splicing (4 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Infectious Diseases (810 citations), Immunology (528 citations), Animal Science and Zoology (205 citations), Developmental Neuroscience (51 citations) and Molecular Biology (699 citations). Yize Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Susan R. Weiss, Robert H. Silverman, Stephen A. Goldstein, Beihua Dong, Shuvojit Banerjee, Christina Gaughan, Ralph S. Baric, Boyd L. Yount, Ruth Elliott and Courtney E. Comar. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, mBio, Food Bioscience and Microbiology Spectrum.
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.