Sanling Yuan

161 total papers · 3.6k total citations
137 papers, 2.8k citations indexed

About

Sanling Yuan is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Sanling Yuan has authored 137 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Public Health, Environmental and Occupational Health, 58 papers in Genetics and 55 papers in Modeling and Simulation. Recurrent topics in Sanling Yuan's work include Mathematical and Theoretical Epidemiology and Ecology Models (104 papers), Evolution and Genetic Dynamics (58 papers) and Ecosystem dynamics and resilience (36 papers). Sanling Yuan is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (104 papers), Evolution and Genetic Dynamics (58 papers) and Ecosystem dynamics and resilience (36 papers). Sanling Yuan collaborates with scholars based in China, Australia and Canada. Sanling Yuan's co-authors include Tonghua Zhang, Yu Zhao, Chaoqun Xu, Xingwang Yu, Dianli Zhao, Junling Ma, Yanli Zhou, Weiguo Zhang, Hao Wang and Shengnan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Journal of Theoretical Biology.

In The Last Decade

Sanling Yuan

125 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanling Yuan 2.3k 1.4k 1.3k 526 356 137 2.8k
Frithjof Lutscher 1.6k 0.7× 1.2k 0.9× 581 0.4× 388 0.7× 372 1.0× 106 2.9k
Tonghua Zhang 3.0k 1.3× 1.9k 1.4× 1.5k 1.1× 432 0.8× 442 1.2× 207 4.3k
W. S. C. Gurney 2.0k 0.9× 1.6k 1.1× 524 0.4× 942 1.8× 605 1.7× 78 4.9k
Malay Banerjee 2.8k 1.2× 2.1k 1.5× 1.1k 0.8× 390 0.7× 478 1.3× 201 3.8k
Thomas G. Hallam 1.3k 0.6× 722 0.5× 673 0.5× 361 0.7× 192 0.5× 111 2.8k
Meng Liu 3.6k 1.6× 2.0k 1.5× 1.8k 1.4× 393 0.7× 441 1.2× 137 4.2k
Ezio Venturino 2.8k 1.3× 2.3k 1.7× 1.2k 0.9× 290 0.6× 810 2.3× 262 4.1k
Gail S. K. Wolkowicz 1.8k 0.8× 1.3k 1.0× 566 0.4× 175 0.3× 516 1.4× 69 2.4k
Huaiping Zhu 2.9k 1.3× 1.3k 1.0× 2.0k 1.5× 162 0.3× 280 0.8× 158 4.2k
Joydev Chattopadhyay 3.7k 1.6× 2.5k 1.8× 1.8k 1.4× 498 0.9× 926 2.6× 199 4.9k

Countries citing papers authored by Sanling Yuan

Since Specialization
Citations

This map shows the geographic impact of Sanling Yuan'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 Sanling Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanling Yuan more than expected).

Fields of papers citing papers by Sanling Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanling Yuan. 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 Sanling Yuan. The network helps show where Sanling Yuan may publish in the future.

Co-authorship network of co-authors of Sanling Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanling Yuan. A scholar is included among the top collaborators of Sanling Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanling Yuan. Sanling Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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