Young‐Gyu Ko

76 total papers · 2.1k total citations
49 papers, 1.8k citations indexed

About

Young‐Gyu Ko is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Young‐Gyu Ko has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 19 papers in Cell Biology and 11 papers in Physiology. Recurrent topics in Young‐Gyu Ko's work include Caveolin-1 and cellular processes (12 papers), Lipid Membrane Structure and Behavior (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Young‐Gyu Ko is often cited by papers focused on Caveolin-1 and cellular processes (12 papers), Lipid Membrane Structure and Behavior (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Young‐Gyu Ko collaborates with scholars based in South Korea, United States and Switzerland. Young‐Gyu Ko's co-authors include Jae‐Seon Lee, Jong‐Il Kim, Chunying Li, Jeong-Sun Seo, Hyo‐Jung Choo, Soonyoung Jung, Chang Seok Lee, Jin Hee Hong, Hwan Myung Kim and Guy A. Thompson and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Young‐Gyu Ko

49 papers receiving 1.8k citations

Hit Papers

Therapy-induced senescent... 2025 2026 2025 5 10 15 20

Author Peers

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

Author Last Decade Papers Cites
Young‐Gyu Ko 1.2k 410 317 219 157 49 1.8k
Julius A. Gordon 1.5k 1.3× 269 0.7× 216 0.7× 200 0.9× 183 1.2× 51 2.3k
János Kovács 1.1k 1.0× 420 1.0× 281 0.9× 180 0.8× 171 1.1× 71 2.1k
Barbara Spolaore 1.5k 1.3× 331 0.8× 170 0.5× 127 0.6× 152 1.0× 45 2.2k
В. Н. Смирнов 1.1k 1.0× 443 1.1× 288 0.9× 202 0.9× 69 0.4× 87 2.3k
Hyo‐Jung Choo 1.0k 0.9× 223 0.5× 388 1.2× 149 0.7× 68 0.4× 30 1.6k
Dennis B. Rylatt 1.5k 1.3× 309 0.8× 205 0.6× 124 0.6× 52 0.3× 32 2.3k
Wolfgang Rist 1.4k 1.2× 190 0.5× 249 0.8× 187 0.9× 213 1.4× 38 1.9k
Ferenc Orosz 1.3k 1.1× 542 1.3× 388 1.2× 104 0.5× 142 0.9× 77 2.1k
Joanna Szczepanowska 1.1k 0.9× 220 0.5× 295 0.9× 98 0.4× 68 0.4× 65 1.7k
J.-P. Mornon 1.3k 1.1× 265 0.6× 194 0.6× 183 0.8× 309 2.0× 54 2.1k

Countries citing papers authored by Young‐Gyu Ko

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Gyu Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Gyu Ko

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