Chia-Yu Wu

22 total papers · 740 total citations
18 papers, 563 citations indexed

About

Chia-Yu Wu is a scholar working on Molecular Biology, Biomedical Engineering and Aging. According to data from OpenAlex, Chia-Yu Wu has authored 18 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Aging. Recurrent topics in Chia-Yu Wu's work include Bone Tissue Engineering Materials (4 papers), Dental Implant Techniques and Outcomes (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Chia-Yu Wu is often cited by papers focused on Bone Tissue Engineering Materials (4 papers), Dental Implant Techniques and Outcomes (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Chia-Yu Wu collaborates with scholars based in Taiwan, Japan and Bulgaria. Chia-Yu Wu's co-authors include Yi‐Fan Chen, Cheng-Heng Kao, Ting‐Fen Tsai, Chih‐Hao Wang, Yau‐Huei Wei, Shih-Feng Tsai, Ming‐Ta Hsu, Ching‐Yen Tsai, Ya-Ting Chen and Chu-Wen Yang and has published in prestigious journals such as Genes & Development, International Journal of Molecular Sciences and Human Molecular Genetics.

In The Last Decade

Chia-Yu Wu

17 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Chia-Yu Wu 384 98 90 84 75 18 563
Wei Zhou 408 1.1× 113 1.2× 54 0.6× 24 0.3× 42 0.6× 21 584
Jing Li 245 0.6× 158 1.6× 39 0.4× 55 0.7× 101 1.3× 28 632
Yuen Ting Lam 356 0.9× 54 0.6× 61 0.7× 57 0.7× 8 0.1× 34 594
Tarfa Al‐Sheddi 452 1.2× 85 0.9× 51 0.6× 35 0.4× 32 0.4× 21 657
Manuela Jakstadt 165 0.4× 32 0.3× 30 0.3× 80 1.0× 21 0.3× 18 587
Muneaki Miyata 356 0.9× 175 1.8× 32 0.4× 39 0.5× 44 0.6× 31 631
Barbara Mlody 538 1.4× 69 0.7× 143 1.6× 72 0.9× 5 0.1× 17 695
Franziska Greulich 492 1.3× 38 0.4× 90 1.0× 42 0.5× 48 0.6× 27 695
Jin Hyuk Jung 363 0.9× 33 0.3× 82 0.9× 64 0.8× 19 0.3× 31 580
Aida Nourbakhsh 397 1.0× 93 0.9× 20 0.2× 26 0.3× 11 0.1× 21 695

Countries citing papers authored by Chia-Yu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Yu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Yu 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 Chia-Yu Wu. The network helps show where Chia-Yu Wu may publish in the future.

Co-authorship network of co-authors of Chia-Yu Wu

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