Chin‐Jen Ku

22 total papers · 499 total citations
10 papers, 309 citations indexed

About

Chin‐Jen Ku is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Chin‐Jen Ku has authored 10 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biophysics and 3 papers in Oncology. Recurrent topics in Chin‐Jen Ku's work include Cell Image Analysis Techniques (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cellular Mechanics and Interactions (3 papers). Chin‐Jen Ku is often cited by papers focused on Cell Image Analysis Techniques (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cellular Mechanics and Interactions (3 papers). Chin‐Jen Ku collaborates with scholars based in United States. Chin‐Jen Ku's co-authors include Steven J. Altschuler, Lani F. Wu, Dinesh Kumar Singh, Chonlarat Wichaidit, Robert J. Steininger, Yanqin Wang, Orion D. Weiner, Stephen R. Quake, Erin McCarthy and François Collin and has published in prestigious journals such as Cell, Nature Communications and Cancer Research.

In The Last Decade

Chin‐Jen Ku

10 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Chin‐Jen Ku 204 87 72 51 49 10 309
Mar Arias-García 146 0.7× 50 0.6× 79 1.1× 79 1.5× 98 2.0× 13 333
Sameer S. Bajikar 201 1.0× 56 0.6× 94 1.3× 27 0.5× 24 0.5× 11 319
Laura M Drogowski 135 0.7× 94 1.1× 164 2.3× 31 0.6× 38 0.8× 9 361
Alejandro La Greca 191 0.9× 65 0.7× 37 0.5× 15 0.3× 52 1.1× 13 301
Máirín Rafferty 239 1.2× 45 0.5× 98 1.4× 28 0.5× 14 0.3× 18 350
Gillian O’Hurley 198 1.0× 67 0.8× 68 0.9× 25 0.5× 25 0.5× 15 366
Connor Stashko 82 0.4× 36 0.4× 61 0.8× 33 0.6× 57 1.2× 7 259
Manuel Schlimpert 199 1.0× 102 1.2× 82 1.1× 34 0.7× 11 0.2× 14 338
Roxana Obregon 172 0.8× 56 0.6× 263 3.7× 35 0.7× 13 0.3× 9 330
Alberto Díez-Sánchez 120 0.6× 21 0.2× 44 0.6× 86 1.7× 11 0.2× 9 287

Countries citing papers authored by Chin‐Jen Ku

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Jen Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Jen Ku. 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 Chin‐Jen Ku. The network helps show where Chin‐Jen Ku may publish in the future.

Co-authorship network of co-authors of Chin‐Jen Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Jen Ku. A scholar is included among the top collaborators of Chin‐Jen Ku 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 Chin‐Jen Ku. Chin‐Jen Ku 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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2026