Shiyun Lv

35 total papers · 738 total citations
25 papers, 428 citations indexed

About

Shiyun Lv is a scholar working on Infectious Diseases, Virology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Shiyun Lv has authored 25 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 10 papers in Virology and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Shiyun Lv's work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (8 papers) and Climate Change and Health Impacts (8 papers). Shiyun Lv is often cited by papers focused on HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (8 papers) and Climate Change and Health Impacts (8 papers). Shiyun Lv collaborates with scholars based in China, Australia and United States. Shiyun Lv's co-authors include Shujia Zhu, Youyi Zhang, Daohai Du, Tongtong Zhang, Fei Guo, Cheng Luo, Liping Zhou, Fei Ye, Lin He and Lili Dai and has published in prestigious journals such as Nature, Neuron and Environment International.

In The Last Decade

Shiyun Lv

22 papers receiving 425 citations

Author Peers

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

Author Last Decade Papers Cites
Shiyun Lv 113 100 78 67 61 25 428
Eduardo Vázquez-Valls 111 1.0× 88 0.9× 65 0.8× 56 0.8× 71 1.2× 28 440
Subhas Das 115 1.0× 94 0.9× 39 0.5× 33 0.5× 41 0.7× 21 465
João Felipe Peres Rezer 75 0.7× 18 0.2× 26 0.3× 47 0.7× 16 0.3× 24 459
Samantha Molsberry 61 0.5× 31 0.3× 87 1.1× 10 0.1× 119 2.0× 26 470
E. Arrigoni Martelli 149 1.3× 48 0.5× 33 0.4× 35 0.5× 14 0.2× 40 442
Evaristus Nwulia 98 0.9× 47 0.5× 55 0.7× 31 0.5× 17 0.3× 21 381
Elisabete Castelon Konkiewitz 41 0.4× 67 0.7× 69 0.9× 33 0.5× 34 0.6× 26 395
Joseph E. Henriquez 70 0.6× 21 0.2× 19 0.2× 123 1.8× 39 0.6× 16 436
Stevan R. Emmett 136 1.2× 31 0.3× 109 1.4× 54 0.8× 5 0.1× 18 456
Geoffrey Canet 88 0.8× 61 0.6× 18 0.2× 33 0.5× 36 0.6× 17 388

Countries citing papers authored by Shiyun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Shiyun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyun Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyun Lv. A scholar is included among the top collaborators of Shiyun Lv 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 Shiyun Lv. Shiyun Lv 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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2026