Shuling Yan

2.1k citations
67 papers · 1.6k · h-index 24

Impact in

    • Vibrio bacteria research studies
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

Shuling Yan

63 papers receiving 1.6k citations

Peers

Shuling Yan
Comparison fields: 5 of 115
  • Endocrinology 267
  • Immunology 491
  • Modeling and Simulation 67
  • Ecology 379
  • Aquatic Science 105
Replace Arun K. Dhar with:
Arun K. Dhar United States
Xiao-Qin Xia China
Alexander J. Westermann Germany
Brett E Pickett United States
Yīmíng Bào China
Daniel Aird United States
Rommel Thiago Jucá Ramos Brazil
Susana Campino United Kingdom
Jiang Du China
Younho Choi United States
Shuling Yan relative to Arun K. Dhar United States Arun K. Dhar's profile →
Citations per field
00.5×5.2×
Arun K. Dhar · 1×
Citations per year

Countries citing papers authored by Shuling Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shuling Yan Line = papers co-authored together Shuling Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 201495
3 201591
4 200388
5 201588
6 201387
7 201881
8 201580
9 201550
10 201547
11 201647
12 201345
13 201537
14 201037
15 201436
16 201432
17 200531
18 202331
19 201429
20 199529

About Shuling Yan

Shuling Yan is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, 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 (15 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Aquaculture disease management and microbiota (8 papers), Vibrio bacteria research studies (6 papers), Genomics and Phylogenetic Studies (6 papers) and Plant Virus Research Studies (6 papers). The work is most often cited by research in Endocrinology (267 citations), Immunology (491 citations), Modeling and Simulation (67 citations), Ecology (379 citations) and Aquatic Science (105 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 Reutter and Hongming Wang. Their work appears in journals such as Journal of Virology, Archives of Virology, PLoS ONE, European Journal of Immunology and Scientific Reports.

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.

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