King-Thom Chung

20 total papers · 738 total citations
16 papers, 552 citations indexed

About

King-Thom Chung is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, King-Thom Chung has authored 16 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in King-Thom Chung's work include Carcinogens and Genotoxicity Assessment (4 papers), Historical Medical Research and Treatments (2 papers) and Cancer-related Molecular Pathways (2 papers). King-Thom Chung is often cited by papers focused on Carcinogens and Genotoxicity Assessment (4 papers), Historical Medical Research and Treatments (2 papers) and Cancer-related Molecular Pathways (2 papers). King-Thom Chung collaborates with scholars based in United States, Taiwan and South Korea. King-Thom Chung's co-authors include Ssu‐Ching Chen, Joan W. Bennett, Cheng–I Wei, S.Y. Fernando, Tien-Yu Huang, Maurice S. B. Ku, Yu‐Jia Chang, Jen-Tsung Yang, M. P. Bryant and Chris Murdock and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Neuroscience and Information Sciences.

In The Last Decade

King-Thom Chung

16 papers receiving 517 citations

Author Peers

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

Author Last Decade Papers Cites
King-Thom Chung 187 83 74 65 65 16 552
Laifu Zhong 192 1.0× 146 1.8× 49 0.7× 45 0.7× 97 1.5× 12 530
Huiyan Wang 280 1.5× 119 1.4× 65 0.9× 33 0.5× 44 0.7× 28 590
Ji‐Young Moon 317 1.7× 79 1.0× 50 0.7× 42 0.6× 32 0.5× 26 565
Wanisa Punfa 258 1.4× 91 1.1× 29 0.4× 63 1.0× 51 0.8× 23 613
Bianca Altrão Ratti 192 1.0× 45 0.5× 35 0.5× 24 0.4× 45 0.7× 18 447
Soo‐Jin Choo 258 1.4× 123 1.5× 128 1.7× 36 0.6× 40 0.6× 25 558
Alyssa G. Schuck 209 1.1× 64 0.8× 55 0.7× 59 0.9× 33 0.5× 14 489
Manila Amici 319 1.7× 71 0.9× 74 1.0× 69 1.1× 25 0.4× 15 613
Dan Zhao 207 1.1× 88 1.1× 53 0.7× 42 0.6× 18 0.3× 33 551
Ka-Heng Lee 189 1.0× 106 1.3× 37 0.5× 29 0.4× 19 0.3× 13 611

Countries citing papers authored by King-Thom Chung

Since Specialization
Citations

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

Fields of papers citing papers by King-Thom Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King-Thom Chung. 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 King-Thom Chung. The network helps show where King-Thom Chung may publish in the future.

Co-authorship network of co-authors of King-Thom Chung

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