Jen‐Leih Wu

147 total papers · 3.5k total citations
111 papers, 2.8k citations indexed

About

Jen‐Leih Wu is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Jen‐Leih Wu has authored 111 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 32 papers in Immunology and 28 papers in Genetics. Recurrent topics in Jen‐Leih Wu's work include Aquaculture disease management and microbiota (27 papers), Animal Genetics and Reproduction (19 papers) and Aquaculture Nutrition and Growth (16 papers). Jen‐Leih Wu is often cited by papers focused on Aquaculture disease management and microbiota (27 papers), Animal Genetics and Reproduction (19 papers) and Aquaculture Nutrition and Growth (16 papers). Jen‐Leih Wu collaborates with scholars based in Taiwan, United States and China. Jen‐Leih Wu's co-authors include Hong‐Yi Gong, Jyh‐Yih Chen, Guor Mour Her, Cliff Ji‐Fan Lin, Cho‐Fat Hui, Shao‐Yang Hu, Weilun Wang, Wenya Chen, Mark Hung‐Chih Chen and Jenn‐Kan Lu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

In The Last Decade

Jen‐Leih Wu

109 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Jen‐Leih Wu 1.4k 819 509 464 403 111 2.8k
Yi Zhou 2.1k 1.5× 1.0k 1.3× 861 1.7× 865 1.9× 340 0.8× 147 4.5k
Keitaro Kato 1.8k 1.3× 475 0.6× 421 0.8× 537 1.2× 422 1.0× 181 3.8k
Alejandro J. Yáñez 952 0.7× 934 1.1× 241 0.5× 276 0.6× 319 0.8× 120 2.7k
Erwin Goldberg 2.3k 1.6× 557 0.7× 940 1.8× 162 0.3× 306 0.8× 152 4.9k
Thomas T. Chen 1.3k 1.0× 1.2k 1.4× 1.2k 2.3× 523 1.1× 217 0.5× 97 3.9k
Sarawut Jitrapakdee 2.0k 1.5× 650 0.8× 240 0.5× 126 0.3× 486 1.2× 95 3.6k
Marco Groth 2.3k 1.6× 352 0.4× 387 0.8× 125 0.3× 358 0.9× 139 4.0k
Jianbo Yao 2.0k 1.4× 790 1.0× 1.1k 2.1× 849 1.8× 755 1.9× 119 4.2k
Peng Xiao 2.0k 1.4× 665 0.8× 217 0.4× 216 0.5× 349 0.9× 131 3.4k
Li Nie 1.1k 0.8× 1.5k 1.8× 198 0.4× 307 0.7× 351 0.9× 87 3.2k

Countries citing papers authored by Jen‐Leih Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jen‐Leih Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jen‐Leih Wu. 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 Jen‐Leih Wu. The network helps show where Jen‐Leih Wu may publish in the future.

Co-authorship network of co-authors of Jen‐Leih Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jen‐Leih Wu. A scholar is included among the top collaborators of Jen‐Leih Wu 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 Jen‐Leih Wu. Jen‐Leih Wu 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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