Shuling Yan
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Immunology top 5%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
Papers in
-
- Vibrio bacteria research studies 6
-
- Mathematical and Theoretical Epidemiology and Ecology Models 14
- Co-authors
- Yongjie Wang (33 shared papers)Yingjie Pan (21 shared papers)Jinzhou Xiao (9 shared papers)Shangjiang Guo (5 shared papers)Xiaoming Xia (6 shared papers)Yongxin Yu (14 shared papers)Hua Fan (4 shared papers)Bailin Li (3 shared papers)
- Journals
- Journal of Virology (3 papers)Archives of Virology (3 papers)PLoS ONE (3 papers)Journal of General Virology (2 papers)Developmental Biology (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shuling Yan
64 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Endocrinology 270
- Immunology 486
- Ecology 393
- Modeling and Simulation 67
- Aquatic Science 102
Countries citing papers authored by Shuling Yan
This map shows the geographic impact of Shuling Yan'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 Shuling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Yan more than expected).
Fields of papers citing papers by Shuling Yan
This network shows the impact of papers produced by Shuling Yan. 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 Shuling Yan. The network helps show where Shuling Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuling Yan, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2014 | 95 | |
| 3 | 2015 | 94 | |
| 4 | 2015 | 89 | |
| 5 | 2013 | 89 | |
| 6 | 2003 | 88 | |
| 7 | 2018 | 82 | |
| 8 | 2015 | 81 | |
| 9 | 2015 | 51 | |
| 10 | 2013 | 47 | |
| 11 | 2015 | 47 | |
| 12 | 2016 | 47 | |
| 13 | 2010 | 38 | |
| 14 | 2015 | 37 | |
| 15 | 2014 | 36 | |
| 16 | 2023 | 34 | |
| 17 | 2014 | 32 | |
| 18 | 2014 | 31 | |
| 19 | 2005 | 31 | |
| 20 | 1995 | 29 |
About Shuling Yan
Shuling Yan is a scholar working on Endocrinology, Public Health, Environmental and Occupational Health, Ecology, Immunology and Genetics, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Aquaculture disease management and microbiota (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Evolution and Genetic Dynamics (8 papers), Genomics and Phylogenetic Studies (7 papers), Plant Virus Research Studies (6 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (270 citations), Immunology (486 citations), Ecology (393 citations), Modeling and Simulation (67 citations) and Aquatic Science (102 citations). Shuling Yan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yongjie Wang, Yingjie Pan, Jinzhou Xiao, Shangjiang Guo, Xiaoming Xia, Yongxin Yu, Hua Fan, Bailin Li, Werner G. Reutter and Hongming Wang. Their work appears in journals such as Journal of Virology, Archives of Virology, PLoS ONE, Journal of General Virology and Developmental 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.