Yi Shi
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Structural Biology top 5%
Papers in
-
- RNA Research and Splicing 14
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 9
- Nuclear Structure and Function 8
- Glycosylation and Glycoproteins Research 6
- Ubiquitin and proteasome pathways 6
-
- Monoclonal and Polyclonal Antibodies Research 12
- Co-authors
- Brian T. Chait (17 shared papers)Yufei Xiang (22 shared papers)Zhe Sang (11 shared papers)S P Goff (1 shared paper)Kimona Ålin (1 shared paper)Dina Schneidman‐Duhovny (8 shared papers)Jun Qin (7 shared papers)Michael P. Rout (11 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Molecular & Cellular Proteomics (5 papers)Cell (4 papers)Nature Communications (3 papers)Nature Structural & Molecular Biology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yi Shi
64 papers receiving 3.2k citations
Yi Shi's Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.3k
- Structural Biology 41
- Infectious Diseases 425
- Cancer Research 319
- Radiology, Nuclear Medicine and Imaging 431
Countries citing papers authored by Yi Shi
This map shows the geographic impact of Yi Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Shi more than expected).
Fields of papers citing papers by Yi Shi
This network shows the impact of papers produced by Yi Shi. 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 Shi. The network helps show where Yi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Shi, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 329 | |
| 2 | Versatile and multivalent nanobodies efficiently neutralize SARS-CoV-2 Hit paper breakdown → | 2020 | 265 |
| 3 | 1995 | 213 | |
| 4 | 2009 | 150 | |
| 5 | 2015 | 141 | |
| 6 | 2018 | 132 | |
| 7 | 2014 | 130 | |
| 8 | 2016 | 113 | |
| 9 | 2021 | 107 | |
| 10 | 2022 | 102 | |
| 11 | 2014 | 102 | |
| 12 | 2009 | 99 | |
| 13 | 2015 | 96 | |
| 14 | 2009 | 86 | |
| 15 | 2010 | 81 | |
| 16 | 2021 | 66 | |
| 17 | 2016 | 64 | |
| 18 | 2014 | 64 | |
| 19 | 1989 | 55 | |
| 20 | 2014 | 52 |
About Yi Shi
Yi Shi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Immunology and Ecology, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (9 papers), Nuclear Structure and Function (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Glycosylation and Glycoproteins Research (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Structural Biology (41 citations), Infectious Diseases (425 citations), Cancer Research (319 citations) and Radiology, Nuclear Medicine and Imaging (431 citations). Yi Shi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Brian T. Chait, Yufei Xiang, Zhe Sang, S P Goff, Kimona Ålin, Dina Schneidman‐Duhovny, Jun Qin, Michael P. Rout, Andrej Săli and W. Paul Duprex. Their work appears in journals such as Journal of Biological Chemistry, Molecular & Cellular Proteomics, Cell, Nature Communications and Nature Structural & Molecular Biology.
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.