Chaoliang Wen

64 total papers · 1.4k total citations
35 papers, 751 citations indexed

About

Chaoliang Wen is a scholar working on Animal Science and Zoology, Molecular Biology and Genetics. According to data from OpenAlex, Chaoliang Wen has authored 35 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Animal Science and Zoology, 21 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Chaoliang Wen's work include Animal Nutrition and Physiology (20 papers), Gut microbiota and health (15 papers) and Genetic and phenotypic traits in livestock (10 papers). Chaoliang Wen is often cited by papers focused on Animal Nutrition and Physiology (20 papers), Gut microbiota and health (15 papers) and Genetic and phenotypic traits in livestock (10 papers). Chaoliang Wen collaborates with scholars based in China and Indonesia. Chaoliang Wen's co-authors include Ning Yang, Wei Yan, Jiangxia Zheng, Congjiao Sun, Congliang Ji, Dexiang Zhang, Qianqian Zhou, Congjiao Sun, Zhongyi Duan and Fangren Lan and has published in prestigious journals such as International Journal of Molecular Sciences, Applied Microbiology and Biotechnology and Frontiers in Microbiology.

In The Last Decade

Chaoliang Wen

32 papers receiving 746 citations

Author Peers

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

Author Last Decade Papers Cites
Chaoliang Wen 420 388 167 107 89 35 751
Zhaofei Xia 216 0.5× 259 0.7× 87 0.5× 110 1.0× 105 1.2× 49 869
Lusheng Huang 414 1.0× 226 0.6× 248 1.5× 91 0.9× 91 1.0× 33 781
Sang Yun Ji 189 0.5× 215 0.6× 79 0.5× 84 0.8× 54 0.6× 52 685
Jianmin Zou 177 0.4× 452 1.2× 121 0.7× 105 1.0× 36 0.4× 50 815
Dirkjan Schokker 422 1.0× 398 1.0× 74 0.4× 206 1.9× 181 2.0× 59 865
Denise Kelly 181 0.4× 407 1.0× 141 0.8× 123 1.1× 73 0.8× 21 849
Lucia Casini 166 0.4× 416 1.1× 65 0.4× 163 1.5× 79 0.9× 64 788
P.F. Varley 217 0.5× 394 1.0× 142 0.9× 72 0.7× 61 0.7× 23 689
Bevis Miller 280 0.7× 311 0.8× 50 0.3× 185 1.7× 120 1.3× 23 806
Maozhang He 594 1.4× 229 0.6× 73 0.4× 143 1.3× 198 2.2× 31 834

Countries citing papers authored by Chaoliang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Chaoliang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoliang Wen

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