Cha-Kyung Youn

19 total papers · 474 total citations
15 papers, 384 citations indexed

About

Cha-Kyung Youn is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Cha-Kyung Youn has authored 15 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Cha-Kyung Youn's work include DNA Repair Mechanisms (6 papers), S100 Proteins and Annexins (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Cha-Kyung Youn is often cited by papers focused on DNA Repair Mechanisms (6 papers), S100 Proteins and Annexins (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Cha-Kyung Youn collaborates with scholars based in South Korea, United States and China. Cha-Kyung Youn's co-authors include Ho Jin You, In Youb Chang, Myung‐Hee Chung, Mi-Hwa Kim, Hong-Beum Kim, Jin Won Hyun, Soohyun Kim, Hyun-Ju Cho, Seon‐Joo Park and Peter I. Song and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and Cancer Research.

In The Last Decade

Cha-Kyung Youn

15 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Cha-Kyung Youn 232 112 79 52 46 15 384
Bernardetta Palazzotti 279 1.2× 88 0.8× 86 1.1× 25 0.5× 39 0.8× 10 421
Edison Leung 145 0.6× 87 0.8× 35 0.4× 40 0.8× 56 1.2× 18 398
O. P. Mgbonyebi 215 0.9× 125 1.1× 31 0.4× 36 0.7× 16 0.3× 11 436
Oscar Betancourt 194 0.8× 89 0.8× 42 0.5× 25 0.5× 90 2.0× 19 398
Ruey-Hong Wong 176 0.8× 50 0.4× 119 1.5× 88 1.7× 35 0.8× 15 394
E. S. Horning 126 0.5× 53 0.5× 64 0.8× 23 0.4× 16 0.3× 11 446
Howard H. Sky‐Peck 105 0.5× 61 0.5× 29 0.4× 54 1.0× 128 2.8× 18 383
Tomasz Gromowski 149 0.6× 80 0.7× 82 1.0× 42 0.8× 76 1.7× 18 365
Dominique Müehlematter 215 0.9× 38 0.3× 84 1.1× 22 0.4× 26 0.6× 8 357
Rosalind D. Friedman 220 0.9× 101 0.9× 38 0.5× 11 0.2× 21 0.5× 13 400

Countries citing papers authored by Cha-Kyung Youn

Since Specialization
Citations

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

Fields of papers citing papers by Cha-Kyung Youn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cha-Kyung Youn. 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 Cha-Kyung Youn. The network helps show where Cha-Kyung Youn may publish in the future.

Co-authorship network of co-authors of Cha-Kyung Youn

This figure shows the co-authorship network connecting the top 25 collaborators of Cha-Kyung Youn. A scholar is included among the top collaborators of Cha-Kyung Youn 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 Cha-Kyung Youn. Cha-Kyung Youn 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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