Chih‐Chung Kuo

21 total papers · 736 total citations
11 papers, 238 citations indexed

About

Chih‐Chung Kuo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology. According to data from OpenAlex, Chih‐Chung Kuo has authored 11 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biotechnology. Recurrent topics in Chih‐Chung Kuo's work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Chih‐Chung Kuo is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Chih‐Chung Kuo collaborates with scholars based in United States, Denmark and Sweden. Chih‐Chung Kuo's co-authors include Nathan E. Lewis, Austin W.T. Chiang, Anne Richelle, Isaac Shamie, Jahir M. Gutierrez, Hratch Baghdassarian, Philipp N. Spahn, Shangzhong Li, Seema S. Aceves and Ranjan Dohil and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Current Opinion in Biotechnology and Biotechnology and Bioengineering.

In The Last Decade

Chih‐Chung Kuo

11 papers receiving 235 citations

Author Peers

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

Author Last Decade Papers Cites
Chih‐Chung Kuo 196 40 37 34 27 11 238
Sunao Imai 182 0.9× 57 1.4× 31 0.8× 29 0.9× 23 0.9× 13 261
Deniz Baycın Hızal 192 1.0× 23 0.6× 34 0.9× 14 0.4× 12 0.4× 11 247
Bryan John Smith 202 1.0× 59 1.5× 28 0.8× 29 0.9× 10 0.4× 13 313
Mika Kamata‐Sakurai 145 0.7× 60 1.5× 13 0.4× 81 2.4× 16 0.6× 10 215
Katherine A. Vousden 136 0.7× 29 0.7× 17 0.5× 74 2.2× 6 0.2× 11 297
Michaela Strotbek 275 1.4× 27 0.7× 28 0.8× 39 1.1× 6 0.2× 9 330
Tong Shen 118 0.6× 24 0.6× 16 0.4× 67 2.0× 13 0.5× 11 276
Sally Esmail 174 0.9× 17 0.4× 13 0.4× 50 1.5× 12 0.4× 12 251
Hsueh Lee Lim 161 0.8× 30 0.8× 38 1.0× 28 0.8× 22 0.8× 9 209
Steven Thibodeau 167 0.9× 39 1.0× 26 0.7× 11 0.3× 72 2.7× 8 327

Countries citing papers authored by Chih‐Chung Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Chung Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Chung Kuo. 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 Chih‐Chung Kuo. The network helps show where Chih‐Chung Kuo may publish in the future.

Co-authorship network of co-authors of Chih‐Chung Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Chung Kuo. A scholar is included among the top collaborators of Chih‐Chung Kuo 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 Chih‐Chung Kuo. Chih‐Chung Kuo 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