Kaiyu Liu

22 total papers · 4.3k total citations
11 papers, 189 citations indexed

About

Kaiyu Liu is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kaiyu Liu has authored 11 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kaiyu Liu's work include Autophagy in Disease and Therapy (5 papers), Respiratory viral infections research (4 papers) and Mosquito-borne diseases and control (4 papers). Kaiyu Liu is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Respiratory viral infections research (4 papers) and Mosquito-borne diseases and control (4 papers). Kaiyu Liu collaborates with scholars based in China and United States. Kaiyu Liu's co-authors include Jianxin Peng, Huazhu Hong, Jingjing Li, Wei Wei, Wenxian Wu, Yongbo Yang, Yi Li, Wei Zou, Peng Xu and Xuefeng Deng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Kaiyu Liu

11 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Kaiyu Liu 95 81 47 30 30 11 189
Anagha Kadam 87 0.9× 95 1.2× 38 0.8× 27 0.9× 60 2.0× 14 240
Xianchun Gao 44 0.5× 72 0.9× 101 2.1× 93 3.1× 13 0.4× 20 246
Yafei Chang 51 0.5× 132 1.6× 90 1.9× 48 1.6× 58 1.9× 14 283
Jun Ren 92 1.0× 76 0.9× 11 0.2× 19 0.6× 20 0.7× 16 250
Gaëlle Vilchez 42 0.4× 126 1.6× 36 0.8× 8 0.3× 30 1.0× 8 239
Alexander S. Dowdell 32 0.3× 123 1.5× 58 1.2× 19 0.6× 49 1.6× 15 260
Junda Zhu 92 1.0× 68 0.8× 53 1.1× 14 0.5× 13 0.4× 13 187
Caroline G. Williams 58 0.6× 112 1.4× 126 2.7× 13 0.4× 26 0.9× 14 280
Elisha Segrist 32 0.3× 80 1.0× 132 2.8× 32 1.1× 10 0.3× 6 238
Zhongshun Liu 49 0.5× 92 1.1× 38 0.8× 13 0.4× 13 0.4× 7 211

Countries citing papers authored by Kaiyu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyu Liu

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