Kun Guo

67 total papers · 951 total citations
53 papers, 644 citations indexed

About

Kun Guo is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Aquatic Science. According to data from OpenAlex, Kun Guo has authored 53 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 13 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Aquatic Science. Recurrent topics in Kun Guo's work include Aquaculture Nutrition and Growth (11 papers), Aquaculture disease management and microbiota (9 papers) and Amphibian and Reptile Biology (9 papers). Kun Guo is often cited by papers focused on Aquaculture Nutrition and Growth (11 papers), Aquaculture disease management and microbiota (9 papers) and Amphibian and Reptile Biology (9 papers). Kun Guo collaborates with scholars based in China, Malaysia and Czechia. Kun Guo's co-authors include Lin Ye, Jian Zhu, Na Li, Shihui Wang, Liang Luo, Zhigang Zhao, Te Liu, Haili Qiao, Shuyue Wang and Xiang Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Kun Guo

51 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Kun Guo 141 135 119 105 91 53 644
Mary E. Allen 117 0.8× 122 0.9× 44 0.4× 90 0.9× 37 0.4× 49 769
Eisa Ebrahimi 237 1.7× 84 0.6× 38 0.3× 147 1.4× 75 0.8× 40 736
Huan Gao 213 1.5× 167 1.2× 28 0.2× 190 1.8× 166 1.8× 90 704
Fernando J. Meijide 221 1.6× 52 0.4× 121 1.0× 46 0.4× 24 0.3× 27 678
Lorenzo Mariano Juárez 339 2.4× 131 1.0× 25 0.2× 134 1.3× 40 0.4× 70 784
Graciela Rey Vázquez 260 1.8× 67 0.5× 193 1.6× 174 1.7× 24 0.3× 18 624
Hafiz Sohaib Ahmed Saqib 62 0.4× 118 0.9× 24 0.2× 50 0.5× 110 1.2× 35 569
S. Adam Fuller 113 0.8× 118 0.9× 18 0.2× 96 0.9× 91 1.0× 45 684
Ying Yang 65 0.5× 43 0.3× 25 0.2× 110 1.0× 78 0.9× 46 619
Balázs Kovács 149 1.1× 96 0.7× 49 0.4× 46 0.4× 220 2.4× 64 786

Countries citing papers authored by Kun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Guo. A scholar is included among the top collaborators of Kun Guo 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 Kun Guo. Kun Guo 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