Dan‐Ya Wu

572 total citations
10 papers, 149 citations indexed

About

Dan‐Ya Wu is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dan‐Ya Wu has authored 10 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dan‐Ya Wu's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Epigenetics and DNA Methylation (3 papers). Dan‐Ya Wu is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Epigenetics and DNA Methylation (3 papers). Dan‐Ya Wu collaborates with scholars based in China, Singapore and Thailand. Dan‐Ya Wu's co-authors include Yi‐Liang Miao, Jilong Zhou, Xia Zhang, Heide Schatten, Yingying Gao, Hai‐Ning Du, Zheng‐Wen Nie, Shuhong Zhao, Donghui Zhang and Li‐Jun Huo and has published in prestigious journals such as Nature Communications, Autophagy and Cell Death and Disease.

In The Last Decade

Dan‐Ya Wu

10 papers receiving 146 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan‐Ya Wu China 7 84 46 27 22 14 10 149
Yuesheng Zuo China 4 69 0.8× 24 0.5× 9 0.3× 16 0.7× 6 0.4× 4 115
Alexandra Harger Austria 3 50 0.6× 31 0.7× 34 1.3× 55 2.5× 5 0.4× 5 160
Connie Clare United Kingdom 4 147 1.8× 35 0.8× 17 0.6× 10 0.5× 75 5.4× 5 308
Koki Matsuo Japan 8 42 0.5× 80 1.7× 5 0.2× 77 3.5× 25 1.8× 17 198
Conny T. van Oostrom Netherlands 8 46 0.5× 11 0.2× 8 0.3× 5 0.2× 11 0.8× 11 139
Katherine A. Kentistou United Kingdom 7 67 0.8× 24 0.5× 19 0.7× 13 0.6× 7 0.5× 14 162
Liangzhen Xie China 11 68 0.8× 64 1.4× 17 0.6× 106 4.8× 13 0.9× 31 255
Ahmed Al‐Qaissi United Kingdom 9 58 0.7× 27 0.6× 15 0.6× 52 2.4× 4 0.3× 19 191
Shan Xiang China 9 58 0.7× 118 2.6× 6 0.2× 140 6.4× 44 3.1× 26 247
Vissarion Efthymiou United States 7 118 1.4× 10 0.2× 25 0.9× 10 0.5× 32 2.3× 12 219

Countries citing papers authored by Dan‐Ya Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dan‐Ya Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan‐Ya Wu

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

All Works

10 of 10 papers shown
1.
Li, Zhengyi, Jiaqun Li, Dan‐Ya Wu, et al.. (2023). Selective binding of retrotransposons by ZFP352 facilitates the timely dissolution of totipotency network. Nature Communications. 14(1). 3646–3646. 9 indexed citations
2.
Wu, Dan‐Ya, et al.. (2023). Nicotine exposure disrupts placental development via the Notch signaling pathway. Reproduction. 166(3). 187–197. 2 indexed citations
3.
Zhou, Jilong, Jingjing Zhang, Xin Liu, et al.. (2022). ATG7-mediated autophagy facilitates embryonic stem cell exit from naive pluripotency and marks commitment to differentiation. Autophagy. 18(12). 2946–2968. 14 indexed citations
4.
Liu, Xin, Lu Chen, Tao Wang, et al.. (2021). TDG is a pig-specific epigenetic regulator with insensitivity to H3K9 and H3K27 demethylation in nuclear transfer embryos. Stem Cell Reports. 16(11). 2674–2689. 12 indexed citations
5.
Zheng, Ran, Ting Geng, Dan‐Ya Wu, et al.. (2021). Derivation of feeder-free human extended pluripotent stem cells. Stem Cell Reports. 16(7). 1686–1696. 20 indexed citations
6.
Wu, Dan‐Ya, Xinxin Li, Tian Xu, et al.. (2021). Defective chromatin architectures in embryonic stem cells derived from somatic cell nuclear transfer impair their differentiation potentials. Cell Death and Disease. 12(12). 1085–1085. 5 indexed citations
7.
Chen, Li, Dan‐Ya Wu, Tao Wang, et al.. (2019). Tris(1,3‐dichloro‐2‐propyl) phosphate disturbs mouse embryonic development by inducing apoptosis and abnormal DNA methylation. Environmental and Molecular Mutagenesis. 60(9). 807–815. 14 indexed citations
8.
Zhou, Jilong, et al.. (2019). Resveratrol delays postovulatory aging of mouse oocytes through activating mitophagy. Aging. 11(23). 11504–11519. 52 indexed citations
9.
Wu, Dan‐Ya, Xia Zhang, & Yi‐Liang Miao. (2018). Reprogramming of Aged Cells into Pluripotent Stem Cells by Nuclear Transfer. Methods in molecular biology. 2045. 271–281. 4 indexed citations
10.
Zhang, Xia, Xiaoyan Liu, Li Chen, et al.. (2017). Caffeine delays oocyte aging and maintains the quality of aged oocytes safely in mouse. Oncotarget. 8(13). 20602–20611. 17 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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