Young‐Shick Hong

78 total papers · 3.4k total citations
64 papers, 2.7k citations indexed

About

Young‐Shick Hong is a scholar working on Molecular Biology, Food Science and Pathology and Forensic Medicine. According to data from OpenAlex, Young‐Shick Hong has authored 64 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 28 papers in Food Science and 24 papers in Pathology and Forensic Medicine. Recurrent topics in Young‐Shick Hong's work include Metabolomics and Mass Spectrometry Studies (28 papers), Tea Polyphenols and Effects (17 papers) and Food Quality and Safety Studies (16 papers). Young‐Shick Hong is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (28 papers), Tea Polyphenols and Effects (17 papers) and Food Quality and Safety Studies (16 papers). Young‐Shick Hong collaborates with scholars based in South Korea, Denmark and United States. Young‐Shick Hong's co-authors include Cherl‐Ho Lee, Jang‐Eun Lee, Geum‐Sook Hwang, Frans van den Berg, Won-Mok Park, Eun‐Hee Kim, Bum-Jin Lee, Jin‐Oh Chung, Seung-Ho Seo and Ki Myong Kim and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Young‐Shick Hong

63 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Young‐Shick Hong 1.3k 1.1k 847 696 454 64 2.7k
Chuankui Song 1.1k 0.9× 889 0.8× 843 1.0× 992 1.4× 711 1.6× 77 2.6k
Yu Xiao 694 0.5× 1.3k 1.1× 760 0.9× 544 0.8× 413 0.9× 118 3.0k
Jin Hwan Lee 946 0.7× 896 0.8× 952 1.1× 717 1.0× 633 1.4× 98 2.8k
Wei‐Wei Deng 1.1k 0.8× 1.0k 0.9× 774 0.9× 1.6k 2.4× 704 1.6× 96 3.0k
Dejiang Ni 739 0.6× 921 0.8× 759 0.9× 1.2k 1.7× 629 1.4× 104 2.7k
Mingzhi Zhu 786 0.6× 652 0.6× 313 0.4× 1.0k 1.4× 471 1.0× 96 2.2k
Arne Heyerick 1.6k 1.2× 1.2k 1.1× 1.2k 1.4× 724 1.0× 736 1.6× 77 4.1k
Carol E. Levin 739 0.6× 1.9k 1.7× 1.2k 1.4× 352 0.5× 829 1.8× 47 3.5k
Nobuyuki Kozukue 895 0.7× 1.8k 1.6× 1.4k 1.7× 458 0.7× 1.1k 2.4× 78 3.8k
Robin Joshi 925 0.7× 570 0.5× 598 0.7× 423 0.6× 449 1.0× 103 2.1k

Countries citing papers authored by Young‐Shick Hong

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Shick Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Shick Hong. 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 Young‐Shick Hong. The network helps show where Young‐Shick Hong may publish in the future.

Co-authorship network of co-authors of Young‐Shick Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Shick Hong. A scholar is included among the top collaborators of Young‐Shick Hong 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 Young‐Shick Hong. Young‐Shick Hong 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