Shiyun Chen
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
Papers in
-
- RNA and protein synthesis mechanisms 8
- Bacillus and Francisella bacterial research 6
- Plant tissue culture and regeneration 6
- Genetics 27
- Bacterial Genetics and Biotechnology 18
- Yersinia bacterium, plague, ectoparasites research 16
- Co-authors
- Yangbo Hu (36 shared papers)Yong Zhang (23 shared papers)Pei Lu (15 shared papers)Huiru Tang (1 shared paper)Jingtao Zhang (1 shared paper)Yuanyuan Du (1 shared paper)Baoyu Yang (9 shared papers)Matthew S. Francis (7 shared papers)
- Journals
- Microbiology (6 papers)Molecular Microbiology (4 papers)PLoS ONE (3 papers)mBio (3 papers)Journal of Bacteriology (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Shiyun Chen
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 139
- Endocrinology 134
- Molecular Medicine 103
- Infectious Diseases 261
- Genetics 350
- Molecular Biology 651
Countries citing papers authored by Shiyun Chen
This map shows the geographic impact of Shiyun 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 Shiyun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiyun Chen more than expected).
Fields of papers citing papers by Shiyun Chen
This network shows the impact of papers produced by Shiyun 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 Shiyun Chen. The network helps show where Shiyun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiyun 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 187 | |
| 2 | 2021 | 80 | |
| 3 | 2020 | 68 | |
| 4 | 2016 | 67 | |
| 5 | 2012 | 64 | |
| 6 | 2012 | 61 | |
| 7 | 2009 | 59 | |
| 8 | 2023 | 37 | |
| 9 | 2010 | 34 | |
| 10 | 2012 | 33 | |
| 11 | 2007 | 31 | |
| 12 | 2016 | 29 | |
| 13 | 2010 | 29 | |
| 14 | 2008 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2016 | 28 | |
| 17 | 2014 | 27 | |
| 18 | 2011 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2020 | 26 |
About Shiyun Chen
Shiyun Chen is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Plant Science, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Yersinia bacterium, plague, ectoparasites research (16 papers), Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (10 papers), RNA and protein synthesis mechanisms (8 papers), Vibrio bacteria research studies (7 papers), Bacillus and Francisella bacterial research (6 papers) and Plant tissue culture and regeneration (6 papers). The work is most often cited by research in Endocrinology (134 citations), Molecular Medicine (103 citations), Infectious Diseases (261 citations), Genetics (350 citations) and Molecular Biology (651 citations). Shiyun Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yangbo Hu, Yong Zhang, Pei Lu, Huiru Tang, Jingtao Zhang, Yuanyuan Du, Baoyu Yang, Matthew S. Francis, Simon Rayner and Zhejie Chen. Their work appears in journals such as Microbiology, Molecular Microbiology, PLoS ONE, mBio and Journal of Bacteriology.
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.