Chien-Ting Wu

26 total papers · 1.6k total citations
11 papers, 672 citations indexed

About

Chien-Ting Wu is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Chien-Ting Wu has authored 11 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Chien-Ting Wu's work include Microtubule and mitosis dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Chien-Ting Wu is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Chien-Ting Wu collaborates with scholars based in Taiwan, United States and Saudi Arabia. Chien-Ting Wu's co-authors include Tang K. Tang, Ching-Wen Chang, Wen-Bin Hsu, Chieh-Ju C. Tang, Yi‐Nan Lin, Yu‐Chih Lin, Hsin-Yi Chen, Kuo-Sheng Wu, Peter K. Jackson and Seung K. Kim and has published in prestigious journals such as Genes & Development, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Chien-Ting Wu

11 papers receiving 663 citations

Author Peers

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

Author Last Decade Papers Cites
Chien-Ting Wu 478 465 291 102 37 11 672
Jake J. Siegel 565 1.2× 220 0.5× 166 0.6× 114 1.1× 66 1.8× 7 758
Kris Leslie 486 1.0× 226 0.5× 78 0.3× 69 0.7× 44 1.2× 15 680
Diane E. Grove 307 0.6× 143 0.3× 103 0.4× 62 0.6× 28 0.8× 16 618
Julie Nguyen 317 0.7× 137 0.3× 48 0.2× 19 0.2× 58 1.6× 18 611
Amy B. Heagle 556 1.2× 217 0.5× 82 0.3× 67 0.7× 35 0.9× 9 629
G Vogel 447 0.9× 283 0.6× 30 0.1× 88 0.9× 47 1.3× 15 733
Kumi Matsuura 603 1.3× 417 0.9× 145 0.5× 84 0.8× 15 0.4× 15 781
Lisheng Ni 489 1.0× 360 0.8× 85 0.3× 45 0.4× 42 1.1× 12 718
Fabio M. Spiga 507 1.1× 159 0.3× 18 0.1× 98 1.0× 77 2.1× 9 649
Kotlo U. Kumar 502 1.1× 142 0.3× 55 0.2× 47 0.5× 90 2.4× 14 694

Countries citing papers authored by Chien-Ting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien-Ting Wu

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