Dai‐Ying Wu

8 papers and 314 indexed citations i.

About

Dai‐Ying Wu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dai‐Ying Wu has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Dai‐Ying Wu’s work include Estrogen and related hormone effects (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related gene regulation (3 papers). Dai‐Ying Wu is often cited by papers focused on Estrogen and related hormone effects (4 papers), Genomics and Chromatin Dynamics (4 papers) and Cancer-related gene regulation (3 papers). Dai‐Ying Wu collaborates with scholars based in United States and South Korea. Dai‐Ying Wu's co-authors include Michael R. Stallcup, Kimberly D. Siegmund, Irina Ianculescu, Rajas Chodankar, Danielle Bittencourt, Daniel S. Gerke, Laurie Herviou, Kwang Won Jeong, Keith R. Yamamoto and Benjamin J. Schiller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Dai‐Ying Wu i

Fields of papers citing papers by Dai‐Ying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dai‐Ying Wu

Since Specialization
Citations

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