Ke Wan

14 papers and 755 indexed citations i.

About

Ke Wan is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Ke Wan has authored 14 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Plant Science and 2 papers in Physiology. Recurrent topics in Ke Wan’s work include DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Ke Wan is often cited by papers focused on DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Ke Wan collaborates with scholars based in United States, China and Taiwan. Ke Wan's co-authors include Yuting Yang, Ming Lei, Yong Chen, Yi Zhang, Ming Lei, Kenichi Yamane, Bingbing Wan, Feng Wang, Neal F. Lue and Natalia A. Veniaminova and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Ke Wan i

Fields of papers citing papers by Ke Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ke Wan

Since Specialization
Citations

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

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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2025