Dai‐Ying Wu

14.3k total citations
8 papers, 322 citations indexed

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 322 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, Benjamin J. Schiller and Keith R. Yamamoto 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

Dai‐Ying Wu

8 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dai‐Ying Wu United States	7	241	91	55	45	42	8	322
Danielle Bittencourt United States	11	393 1.6×	97 1.1×	32 0.6×	58 1.3×	45 1.1×	11	479
Erin E. Swinstead United States	6	333 1.4×	91 1.0×	29 0.5×	42 0.9×	34 0.8×	7	433
Yun Kyoung Kang United States	7	448 1.9×	121 1.3×	20 0.4×	48 1.1×	51 1.2×	8	531
Dana L. Shkolny Canada	7	133 0.6×	45 0.5×	42 0.8×	21 0.5×	27 0.6×	7	228
Ana Tomasovic Germany	9	232 1.0×	29 0.3×	18 0.3×	19 0.4×	29 0.7×	11	334
Elizabeth T. Wiles United States	9	347 1.4×	32 0.4×	51 0.9×	37 0.8×	44 1.0×	12	468
Michael J. Peyton United States	6	221 0.9×	50 0.5×	19 0.3×	45 1.0×	31 0.7×	6	344
Russell Betney United Kingdom	9	280 1.2×	117 1.3×	70 1.3×	17 0.4×	19 0.5×	9	369
Zvezdan Pavlovic Canada	5	293 1.2×	37 0.4×	16 0.3×	83 1.8×	46 1.1×	5	374
Daniel S. Gerke United States	9	294 1.2×	71 0.8×	12 0.2×	34 0.8×	22 0.5×	14	379

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).

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.

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

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

All Works

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8 of 8 papers shown

Poulard, Coralie, Danielle Bittencourt, Dai‐Ying Wu, et al.. (2017). A post‐translational modification switch controls coactivator function of histone methyltransferases G9a and GLP. EMBO Reports. 18(8). 1442–1459. 30 indexed citations

Wu, Dai‐Ying, Danielle Bittencourt, Michael R. Stallcup, & Kimberly D. Siegmund. (2015). Identifying differential transcription factor binding in ChIP-seq. Frontiers in Genetics. 6. 169–169. 32 indexed citations

Chodankar, Rajas, Dai‐Ying Wu, Daniel S. Gerke, & Michael R. Stallcup. (2015). Selective Coregulator Function and Restriction of Steroid Receptor Chromatin Occupancy by Hic-5. Molecular Endocrinology. 29(5). 716–729. 8 indexed citations

Wu, Dai‐Ying, C Y Ou, Rajas Chodankar, Kimberly D. Siegmund, & Michael R. Stallcup. (2014). Distinct, Genome-Wide, Gene-Specific Selectivity Patterns of Four Glucocorticoid Receptor Coregulators. PubMed. 12(1). e002–e002. 23 indexed citations

Chodankar, Rajas, Dai‐Ying Wu, Benjamin J. Schiller, Keith R. Yamamoto, & Michael R. Stallcup. (2014). Hic-5 is a transcription coregulator that acts before and/or after glucocorticoid receptor genome occupancy in a gene-selective manner. Proceedings of the National Academy of Sciences. 111(11). 4007–4012. 37 indexed citations

Ianculescu, Irina, Dai‐Ying Wu, Kimberly D. Siegmund, & Michael R. Stallcup. (2012). Selective roles for cAMP response element-binding protein binding protein and p300 protein as coregulators for androgen-regulated gene expression in advanced prostate cancer cells.. Journal of Biological Chemistry. 287(43). 35985–35985. 3 indexed citations

Bittencourt, Danielle, Dai‐Ying Wu, Kwang Won Jeong, et al.. (2012). G9a functions as a molecular scaffold for assembly of transcriptional coactivators on a subset of Glucocorticoid Receptor target genes. Proceedings of the National Academy of Sciences. 109(48). 19673–19678. 109 indexed citations

Ianculescu, Irina, Dai‐Ying Wu, Kimberly D. Siegmund, & Michael R. Stallcup. (2011). Selective Roles for cAMP Response Element-binding Protein Binding Protein and p300 Protein as Coregulators for Androgen-regulated Gene Expression in Advanced Prostate Cancer Cells. Journal of Biological Chemistry. 287(6). 4000–4013. 80 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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