Shaoying Chen
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
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- Animal Virus Infections Studies 29
-
- Viral gastroenteritis research and epidemiology 18
- Viral Infections and Vectors 6
- Co-authors
- Shilong Chen (35 shared papers)Yanchun Zhou (9 shared papers)Xiaoxia Cheng (25 shared papers)Xiaoli Zhu (18 shared papers)Robert H. Singer (4 shared papers)Wei Gu (6 shared papers)Ning Li (1 shared paper)Shao Wang (12 shared papers)
- Journals
- Transboundary and Emerging Diseases (4 papers)Archives of Virology (3 papers)Microbial Pathogenesis (3 papers)Journal of Clinical Microbiology (2 papers)Kidney International (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shaoying Chen
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Animal Science and Zoology 278
- Infectious Diseases 305
- Immunology 247
- Cancer Research 128
- Genetics 211
Countries citing papers authored by Shaoying Chen
This map shows the geographic impact of Shaoying Chen'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 Shaoying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoying Chen more than expected).
Fields of papers citing papers by Shaoying Chen
This network shows the impact of papers produced by Shaoying Chen. 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 Shaoying Chen. The network helps show where Shaoying Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoying Chen, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 132 | |
| 2 | 2012 | 106 | |
| 3 | 2016 | 63 | |
| 4 | 2015 | 59 | |
| 5 | 2013 | 57 | |
| 6 | 2019 | 54 | |
| 7 | 2018 | 46 | |
| 8 | 2020 | 45 | |
| 9 | 2016 | 38 | |
| 10 | 2013 | 36 | |
| 11 | 2013 | 32 | |
| 12 | 2017 | 31 | |
| 13 | 2015 | 30 | |
| 14 | 2017 | 30 | |
| 15 | 2016 | 30 | |
| 16 | 2007 | 29 | |
| 17 | 2017 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2012 | 21 |
About Shaoying Chen
Shaoying Chen is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Immunology and Cancer Research, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (29 papers), Virus-based gene therapy research (22 papers), Viral gastroenteritis research and epidemiology (18 papers), Viral Infections and Immunology Research (9 papers), Viral Infections and Vectors (6 papers), RNA Research and Splicing (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Animal Science and Zoology (278 citations), Infectious Diseases (305 citations), Immunology (247 citations), Cancer Research (128 citations) and Genetics (211 citations). Shaoying Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shilong Chen, Yanchun Zhou, Xiaoxia Cheng, Xiaoli Zhu, Robert H. Singer, Wei Gu, Ning Li, Shao Wang, Yun Zhang and Chunguo Liu. Their work appears in journals such as Transboundary and Emerging Diseases, Archives of Virology, Microbial Pathogenesis, Journal of Clinical Microbiology and Kidney International.
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.