In‐Kee Hong

16 total papers · 583 total citations
14 papers, 484 citations indexed

About

In‐Kee Hong is a scholar working on Immunology and Allergy, Molecular Biology and Cancer Research. According to data from OpenAlex, In‐Kee Hong has authored 14 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology and Allergy, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in In‐Kee Hong's work include Cell Adhesion Molecules Research (7 papers), Protease and Inhibitor Mechanisms (2 papers) and Caveolin-1 and cellular processes (2 papers). In‐Kee Hong is often cited by papers focused on Cell Adhesion Molecules Research (7 papers), Protease and Inhibitor Mechanisms (2 papers) and Caveolin-1 and cellular processes (2 papers). In‐Kee Hong collaborates with scholars based in South Korea, United States and Belgium. In‐Kee Hong's co-authors include Hansoo Lee, Young‐Myeong Kim, Dooil Jeoung, Young‐June Jin, Hee-Jung Byun, Keun‐Cheol Kim, Iha Park, Jeongsuk Choi, Seong Hoe Park and Eun‐Sook Kim and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and International Journal of Biological Macromolecules.

In The Last Decade

In‐Kee Hong

14 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
In‐Kee Hong 226 194 112 106 90 14 484
Hee-Jung Byun 253 1.1× 178 0.9× 129 1.2× 106 1.0× 82 0.9× 8 477
Zenebech Wondimu 165 0.7× 275 1.4× 80 0.7× 62 0.6× 116 1.3× 11 443
Neng‐Hua Guo 370 1.6× 131 0.7× 69 0.6× 134 1.3× 89 1.0× 9 481
Jian‐Guo Geng 199 0.9× 139 0.7× 90 0.8× 68 0.6× 38 0.4× 16 419
Clara Schreiner 256 1.1× 304 1.6× 68 0.6× 109 1.0× 133 1.5× 9 489
Katerina Gkirtzimanaki 241 1.1× 104 0.5× 95 0.8× 70 0.7× 61 0.7× 11 474
T Koh 263 1.2× 240 1.2× 165 1.5× 61 0.6× 79 0.9× 10 540
Thomas J. Lawley 220 1.0× 160 0.8× 53 0.5× 67 0.6× 56 0.6× 9 444
Sílvia Batista 277 1.2× 146 0.8× 161 1.4× 116 1.1× 108 1.2× 17 488
Anke Ohler 188 0.8× 100 0.5× 112 1.0× 149 1.4× 69 0.8× 14 426

Countries citing papers authored by In‐Kee Hong

Since Specialization
Citations

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

Fields of papers citing papers by In‐Kee Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In‐Kee Hong

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