Weiwen Dai

34 papers and 1.0k indexed citations i.

About

Weiwen Dai is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Weiwen Dai has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Cancer Research. Recurrent topics in Weiwen Dai’s work include Protease and Inhibitor Mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers) and Microbial metabolism and enzyme function (4 papers). Weiwen Dai is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers) and Microbial metabolism and enzyme function (4 papers). Weiwen Dai collaborates with scholars based in Australia, United States and China. Weiwen Dai's co-authors include Stephen Bottomley, Lisa D. Cabrita, Scott A. White, Zongxiang Xia, Isabelle S. Lucet, James M. Murphy, F. Scott Mathews, James C. Whisstock, Victor L. Davidson and Robert N. Pike and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Weiwen Dai i

Fields of papers citing papers by Weiwen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weiwen Dai

Since Specialization
Citations

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