Felix L. Wu

402 total citations
4 papers, 223 citations indexed

About

Felix L. Wu is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Felix L. Wu has authored 4 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Felix L. Wu's work include CRISPR and Genetic Engineering (2 papers), Evolution and Genetic Dynamics (2 papers) and Chromosomal and Genetic Variations (2 papers). Felix L. Wu is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Evolution and Genetic Dynamics (2 papers) and Chromosomal and Genetic Variations (2 papers). Felix L. Wu collaborates with scholars based in United States and Australia. Felix L. Wu's co-authors include Harris H. Wang, Ravi U. Sheth, Sung Sun Yim, Molly Przeworski, Marc de Manuel, Carole Ober, Jeffrey D. Wall, Alva I. Strand, Laura A. Cox and Priya Moorjani and has published in prestigious journals such as Science, PLoS Biology and PLoS Genetics.

In The Last Decade

Felix L. Wu

4 papers receiving 218 citations

Peers

Felix L. Wu
Lucie Studená United Kingdom
Devjanee Swain-Lenz United States
Claire Chung United States
Yuehui Zhao United States
Emily A. Bulger United States
Tyler C. Shimko United States
Emanuele Libertini United Kingdom
Lucie Studená United Kingdom
Felix L. Wu
Citations per year, relative to Felix L. Wu Felix L. Wu (= 1×) peers Lucie Studená

Countries citing papers authored by Felix L. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Felix L. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix L. 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 Felix L. Wu. The network helps show where Felix L. Wu may publish in the future.

Co-authorship network of co-authors of Felix L. Wu

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

All Works

4 of 4 papers shown
1.
Hooper, Daniel M., et al.. (2025). Germline mutation rates and fine-scale recombination parameters in zebra finch. PLoS Genetics. 21(4). e1011661–e1011661. 5 indexed citations
2.
Manuel, Marc de, Felix L. Wu, & Molly Przeworski. (2022). A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers. eLife. 11. 32 indexed citations
3.
Wu, Felix L., Alva I. Strand, Laura A. Cox, et al.. (2020). A comparison of humans and baboons suggests germline mutation rates do not track cell divisions. PLoS Biology. 18(8). e3000838–e3000838. 55 indexed citations
4.
Sheth, Ravi U., Sung Sun Yim, Felix L. Wu, & Harris H. Wang. (2017). Multiplex recording of cellular events over time on CRISPR biological tape. Science. 358(6369). 1457–1461. 131 indexed citations

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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