Jui‐Chun Kao

17 total papers · 666 total citations
6 papers, 355 citations indexed

About

Jui‐Chun Kao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Jui‐Chun Kao has authored 6 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Jui‐Chun Kao's work include Neurobiology and Insect Physiology Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Plant tissue culture and regeneration (1 paper). Jui‐Chun Kao is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), CRISPR and Genetic Engineering (2 papers) and Plant tissue culture and regeneration (1 paper). Jui‐Chun Kao collaborates with scholars based in United States. Jui‐Chun Kao's co-authors include K L Perry, Clarence I. Kado, Amanda Cavallaro, Gerald M. Rubin, Karen L Hibbard, Heather Dionne, Yisheng He, Takeshi Awasaki, Peng Ding and Jacob S. Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Current Biology.

In The Last Decade

Jui‐Chun Kao

6 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Jui‐Chun Kao 246 154 105 91 61 6 355
Marc Peters 147 0.6× 99 0.6× 104 1.0× 54 0.6× 42 0.7× 5 294
Morten E. Moeller 231 0.9× 108 0.7× 43 0.4× 104 1.1× 71 1.2× 10 399
Qingzhong Ren 282 1.1× 155 1.0× 58 0.6× 108 1.2× 79 1.3× 15 403
Amanda Cavallaro 221 0.9× 183 1.2× 50 0.5× 96 1.1× 44 0.7× 3 364
Joshua A. Ainsley 240 1.0× 155 1.0× 47 0.4× 61 0.7× 31 0.5× 8 392
Jennifer K. Lovick 368 1.5× 108 0.7× 57 0.5× 152 1.7× 104 1.7× 14 398
Silvie Fexová 141 0.6× 169 1.1× 40 0.4× 94 1.0× 44 0.7× 9 332
Jason C. Caldwell 287 1.2× 146 0.9× 43 0.4× 92 1.0× 64 1.0× 8 386
David Piepenbrock 181 0.7× 76 0.5× 62 0.6× 134 1.5× 108 1.8× 5 329
Janette Pettus 167 0.7× 142 0.9× 31 0.3× 61 0.7× 31 0.5× 9 293

Countries citing papers authored by Jui‐Chun Kao

Since Specialization
Citations

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

Fields of papers citing papers by Jui‐Chun Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui‐Chun Kao. 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 Jui‐Chun Kao. The network helps show where Jui‐Chun Kao may publish in the future.

Co-authorship network of co-authors of Jui‐Chun Kao

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