In-Uk Koh

20 total papers · 961 total citations
14 papers, 337 citations indexed

About

In-Uk Koh is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, In-Uk Koh has authored 14 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Surgery. Recurrent topics in In-Uk Koh's work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and Adipose Tissue and Metabolism (4 papers). In-Uk Koh is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and Adipose Tissue and Metabolism (4 papers). In-Uk Koh collaborates with scholars based in South Korea and United States. In-Uk Koh's co-authors include Jihyun Song, Joo Sun Choi, Won–Ho Kim, Myeong Ho Jung, Hyo‐Jung Lee, Joo Hyun Lim, Jong‐Bok Yoon, Suman Lee, Sun Shim Choi and Myung Kuk Joe and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

In-Uk Koh

14 papers receiving 333 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-Uk Koh 169 67 62 58 38 14 337
G. de Jong 148 0.9× 74 1.1× 57 0.9× 64 1.1× 24 0.6× 13 346
Ewelina Józefczuk 192 1.1× 50 0.7× 49 0.8× 39 0.7× 30 0.8× 12 401
Sudipta Biswas 154 0.9× 49 0.7× 33 0.5× 20 0.3× 24 0.6× 12 361
Simone Vargas da Silva 99 0.6× 60 0.9× 89 1.4× 68 1.2× 18 0.5× 12 334
Abigail Peairs 113 0.7× 57 0.9× 68 1.1× 30 0.5× 53 1.4× 12 336
Nanami Utsumi 185 1.1× 60 0.9× 45 0.7× 20 0.3× 36 0.9× 9 299
Chihiro Horimai 154 0.9× 41 0.6× 56 0.9× 25 0.4× 81 2.1× 9 377
J Butler 92 0.5× 24 0.4× 125 2.0× 47 0.8× 23 0.6× 12 331
Wesam Bassiouni 147 0.9× 33 0.5× 36 0.6× 35 0.6× 17 0.4× 18 396
Francesca D’Avila 117 0.7× 39 0.6× 36 0.6× 37 0.6× 33 0.9× 15 293

Countries citing papers authored by In-Uk Koh

Since Specialization
Citations

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

Fields of papers citing papers by In-Uk Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Uk Koh. 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-Uk Koh. The network helps show where In-Uk Koh may publish in the future.

Co-authorship network of co-authors of In-Uk Koh

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