Ya Chun Wu

15 total papers · 622 total citations
13 papers, 543 citations indexed

About

Ya Chun Wu is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Ya Chun Wu has authored 13 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Ya Chun Wu's work include Autophagy in Disease and Therapy (7 papers), Ubiquitin and proteasome pathways (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Ya Chun Wu is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Ubiquitin and proteasome pathways (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Ya Chun Wu collaborates with scholars based in Hong Kong, China and Russia. Ya Chun Wu's co-authors include William Ka Kei Wu, Le Yu, Joseph J.�Y. Sung, Zhi Jie Li, Chi Hin Cho, Haitao Li, Clover Ching Man Wong, Jun Yu, Alfred S.L. Cheng and Chi H. Cho and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Controlled Release.

In The Last Decade

Ya Chun Wu

12 papers receiving 535 citations

Author Peers

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

Author Last Decade Papers Cites
Ya Chun Wu 314 170 81 76 67 13 543
Shakeel U.R. Mir 232 0.7× 101 0.6× 52 0.6× 18 0.2× 35 0.5× 11 497
Jin Li 300 1.0× 225 1.3× 44 0.5× 15 0.2× 26 0.4× 12 584
Fergal O’Farrell 335 1.1× 278 1.6× 49 0.6× 16 0.2× 23 0.3× 12 552
Xiawei Cheng 266 0.8× 155 0.9× 53 0.7× 18 0.2× 22 0.3× 17 607
Chiara Ullio 300 1.0× 75 0.4× 55 0.7× 53 0.7× 10 0.1× 10 507
Giovanni Tonelli 391 1.2× 363 2.1× 122 1.5× 14 0.2× 46 0.7× 10 606
Hildegard I. D. Mack 264 0.8× 172 1.0× 35 0.4× 16 0.2× 22 0.3× 18 508
M. Bellido 293 0.9× 77 0.5× 66 0.8× 22 0.3× 48 0.7× 13 605
Xuqin Xie 268 0.9× 274 1.6× 68 0.8× 9 0.1× 40 0.6× 10 467
Hendrik Folkerts 299 1.0× 223 1.3× 38 0.5× 15 0.2× 16 0.2× 16 459

Countries citing papers authored by Ya Chun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Chun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya Chun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Chun Wu. A scholar is included among the top collaborators of Ya Chun 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 Ya Chun Wu. Ya Chun 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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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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