Dan‐Ya Wu

22 total papers · 561 total citations
10 papers, 146 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 146 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 CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (6 papers) and Epigenetics and DNA Methylation (3 papers). Dan‐Ya Wu is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (6 papers) and Epigenetics and DNA Methylation (3 papers). Dan‐Ya Wu collaborates with scholars based in China, Singapore and United States. Dan‐Ya Wu's co-authors include Yi‐Liang Miao, Jilong Zhou, Xia Zhang, Heide Schatten, Ran Zheng, Tian Xu, Zheng‐Wen Nie, Yingying Gao, Hai‐Ning Du and Li Chen 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 143 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan‐Ya Wu 83 46 27 22 14 10 146
Lingwei Ma 62 0.7× 101 2.2× 6 0.2× 73 3.3× 22 1.6× 10 273
Dan Shan 134 1.6× 111 2.4× 16 0.6× 59 2.7× 61 4.4× 16 275
Sam W. Chan 77 0.9× 20 0.4× 14 0.5× 26 1.2× 7 0.5× 9 147
Priscila Carapeto 53 0.6× 17 0.4× 24 0.9× 7 0.3× 42 3.0× 10 179
Bhaswati Ghosh 27 0.3× 71 1.5× 28 1.0× 39 1.8× 18 1.3× 15 215
Luping Cong 89 1.1× 116 2.5× 13 0.5× 92 4.2× 25 1.8× 11 284
Xiazhou Fu 113 1.4× 18 0.4× 34 1.3× 13 0.6× 3 0.2× 10 176
Deidre Gunn 50 0.6× 102 2.2× 10 0.4× 117 5.3× 68 4.9× 11 241
Ryan Evans 132 1.6× 18 0.4× 44 1.6× 22 1.0× 4 0.3× 9 258
Nesa Marti 90 1.1× 51 1.1× 7 0.3× 77 3.5× 8 0.6× 12 226

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026