Wen‐Hsiung Li

63.6k total citations · 17 hit papers
379 papers, 48.0k citations indexed

About

Wen‐Hsiung Li is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Wen‐Hsiung Li has authored 379 papers receiving a total of 48.0k indexed citations (citations by other indexed papers that have themselves been cited), including 243 papers in Molecular Biology, 113 papers in Genetics and 55 papers in Plant Science. Recurrent topics in Wen‐Hsiung Li's work include Genomics and Phylogenetic Studies (83 papers), RNA and protein synthesis mechanisms (74 papers) and Evolution and Genetic Dynamics (53 papers). Wen‐Hsiung Li is often cited by papers focused on Genomics and Phylogenetic Studies (83 papers), RNA and protein synthesis mechanisms (74 papers) and Evolution and Genetic Dynamics (53 papers). Wen‐Hsiung Li collaborates with scholars based in United States, Taiwan and China. Wen‐Hsiung Li's co-authors include M Nei, Paul M. Sharp, Yun Fu, Kenneth H. Wolfe, Chung‐I Wu, Masatoshi Nei, Zhenglong Gu, Xun Gu, Masako Tanimura and Anton Nekrutenko and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Wen‐Hsiung Li

365 papers receiving 45.9k citations

Hit Papers

Mathematical model for studying genetic variation in term... 1979 2026 1994 2010 1979 1993 1987 1987 1991 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wen‐Hsiung Li United States 91 27.4k 16.2k 14.2k 5.4k 4.3k 379 48.0k
Peter Donnelly United Kingdom 66 17.6k 0.6× 35.2k 2.2× 11.3k 0.8× 6.5k 1.2× 8.2k 1.9× 208 61.2k
Michael Lynch United States 99 18.4k 0.7× 22.1k 1.4× 8.6k 0.6× 6.8k 1.3× 7.4k 1.7× 425 42.4k
Rasmus Nielsen United States 97 17.9k 0.7× 23.7k 1.5× 6.8k 0.5× 5.9k 1.1× 7.0k 1.6× 293 43.5k
Makoto Kimura Japan 77 27.5k 1.0× 27.9k 1.7× 11.2k 0.8× 9.0k 1.7× 12.5k 2.9× 362 64.2k
Gábor Marth United States 34 32.6k 1.2× 21.3k 1.3× 13.2k 0.9× 3.4k 0.6× 6.1k 1.4× 74 60.2k
Naruya Saitou Japan 45 30.6k 1.1× 10.8k 0.7× 14.6k 1.0× 4.2k 0.8× 12.8k 3.0× 199 58.9k
Olivier Gascuel France 35 21.0k 0.8× 8.7k 0.5× 10.8k 0.8× 6.5k 1.2× 11.1k 2.6× 136 46.4k
Robert E. Handsaker United States 23 31.4k 1.1× 21.2k 1.3× 12.4k 0.9× 3.2k 0.6× 5.6k 1.3× 28 59.7k
Tim Fennell United States 8 26.6k 1.0× 14.3k 0.9× 10.0k 0.7× 2.3k 0.4× 4.7k 1.1× 8 47.2k
Yves Van de Peer Belgium 94 23.2k 0.8× 5.7k 0.4× 15.5k 1.1× 3.3k 0.6× 5.3k 1.2× 437 36.2k

Countries citing papers authored by Wen‐Hsiung Li

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Hsiung Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Hsiung Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Hsiung Li. A scholar is included among the top collaborators of Wen‐Hsiung Li 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 Wen‐Hsiung Li. Wen‐Hsiung Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Qi, Cheng Cheng, Ruiting Yan, et al.. (2025). Reducing cardiometabolic disease risk dietary pattern in the Chinese population with dyslipidemia: a single-center, open-label, randomized, dietary intervention study. American Journal of Clinical Nutrition. 121(5). 1035–1045.
2.
Wei, X., et al.. (2025). P vacancy-induced electron redistribution and phase reconstruction of CoFeP for overall water splitting at industrial-level current density. Inorganic Chemistry Frontiers. 12(7). 2678–2690. 35 indexed citations breakdown →
3.
Huang, Youjun, et al.. (2024). Bimetallic RuCo anchored CoFe2O4 nanosheets to realize in-depth electronic modulation for boosted structural reconstruction and efficient seawater electrolysis. Chemical Engineering Journal. 503. 158346–158346. 12 indexed citations
4.
Bai, Hua, Huan Gu, Wenhui Zhou, et al.. (2024). PD-like pathogenesis induced by intestinal exposure to microplastics: An in vivo study of animal models to a public health survey. Journal of Hazardous Materials. 486. 136974–136974. 9 indexed citations
6.
Hu, Baocheng, Xiaomin Ying, Jian Wang, et al.. (2014). Identification of a Tumor-Suppressive Human-Specific MicroRNA within the FHIT Tumor-Suppressor Gene. Cancer Research. 74(8). 2283–2294. 47 indexed citations
7.
Wang, Daryi, et al.. (2009). Evolution of Olfactory Receptor Genes in East Asian Loaches. Zoological studies. 48(2). 223–237. 1 indexed citations
8.
Sung, Huang-Mo, Tzi‐Yuan Wang, Daryi Wang, et al.. (2009). Roles of Trans and Cis Variation in Yeast Intraspecies Evolution of Gene Expression. Molecular Biology and Evolution. 26(11). 2533–2538. 30 indexed citations
9.
Shih, Arthur Chun-Chieh, et al.. (2007). Simultaneous amino acid substitutions at antigenic sites drive influenza A hemagglutinin evolution. Proceedings of the National Academy of Sciences. 104(15). 6283–6288. 181 indexed citations
10.
Lin, You-Chin, Li‐Ching Hsieh, John Yu, et al.. (2007). Human TRIM71 and Its Nematode Homologue Are Targets of let-7 MicroRNA and Its Zebrafish Orthologue Is Essential for Development. Molecular Biology and Evolution. 24(11). 2525–2534. 72 indexed citations
11.
Liang, Han & Wen‐Hsiung Li. (2007). MicroRNA regulation of human protein–protein interaction network. RNA. 13(9). 1402–1408. 133 indexed citations
12.
Chen, B.-S., et al.. (2005). A new measure of the robustness of biochemical networks. Computer applications in the biosciences. 21(11). 2698–2705. 67 indexed citations
13.
Shiu, Shin‐Han, et al.. (2004). Comparative Analysis of the Receptor-Like Kinase Family in Arabidopsis and Rice[W]. The Plant Cell. 16(5). 1220–1234. 872 indexed citations breakdown →
14.
Yang, Jing, Richard W. Lusk, & Wen‐Hsiung Li. (2003). Organismal complexity, protein complexity, and gene duplicability. Proceedings of the National Academy of Sciences. 100(26). 15661–15665. 83 indexed citations
15.
Xia, Xuhua, Zheng Xie, & Wen‐Hsiung Li. (2003). Effects of GC Content and Mutational Pressure on the Lengths of Exons and Coding Sequences. Journal of Molecular Evolution. 56(3). 362–370. 45 indexed citations
16.
Li, Wen‐Hsiung. (2002). Male-driven evolution. Current Opinion in Genetics & Development. 12(6). 650–656. 172 indexed citations
17.
Makova, Kateryna D., et al.. (2001). Episodic Evolution of Growth Hormone in Primates and Emergence of the Species Specificity of Human Growth Hormone Receptor. Molecular Biology and Evolution. 18(6). 945–953. 57 indexed citations
18.
Ning, Yu, Zhongming Zhao, Yun Fu, et al.. (2001). Global Patterns of Human DNA Sequence Variation in a 10-kb Region on Chromosome 1. Molecular Biology and Evolution. 18(2). 214–222. 100 indexed citations
19.
Yang, Yau-Wen, et al.. (1999). Molecular Phylogenetic Studies of Brassica,Rorippa,Arabidopsis and Allied Genera Based on the Internal Transcribed Spacer Region of 18S–25S rDNA. Molecular Phylogenetics and Evolution. 13(3). 455–462. 78 indexed citations
20.
Graur, Dan, et al.. (1991). Fundamentals of molecular evolution. Journal of Human Evolution. 21(3). 235–235. 1369 indexed citations breakdown →

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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