Kyoung‐Won Cho

1.1k total citations
60 papers, 802 citations indexed

About

Kyoung‐Won Cho is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Information Systems. According to data from OpenAlex, Kyoung‐Won Cho has authored 60 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Public Health, Environmental and Occupational Health and 10 papers in Information Systems. Recurrent topics in Kyoung‐Won Cho's work include Diverse Approaches in Healthcare and Education Studies (13 papers), Technology and Data Analysis (9 papers) and MicroRNA in disease regulation (6 papers). Kyoung‐Won Cho is often cited by papers focused on Diverse Approaches in Healthcare and Education Studies (13 papers), Technology and Data Analysis (9 papers) and MicroRNA in disease regulation (6 papers). Kyoung‐Won Cho collaborates with scholars based in South Korea, United Kingdom and Vietnam. Kyoung‐Won Cho's co-authors include Han‐Sung Jung, Jong‐Min Lee, Young Moon Chae, Sung Won Cho, Min-Jung Lee, Jeong-Oh Shin, Dong Ha Lee, Seung Hee Ho, Cheryll Tickle and Jae‐Young Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kyoung‐Won Cho

51 papers receiving 772 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyoung‐Won Cho South Korea 16 410 157 116 72 61 60 802
Laura Lin United States 22 818 2.0× 46 0.3× 93 0.8× 163 2.3× 160 2.6× 57 1.6k
Melissa Steward United States 9 457 1.1× 56 0.4× 27 0.2× 27 0.4× 39 0.6× 9 819
Hongchun Wang China 22 587 1.4× 39 0.2× 189 1.6× 68 0.9× 40 0.7× 92 1.5k
Luyu Yang China 16 419 1.0× 47 0.3× 141 1.2× 225 3.1× 54 0.9× 45 1.5k
Sowmya Swaminathan United States 15 800 2.0× 103 0.7× 42 0.4× 150 2.1× 108 1.8× 37 1.4k
Dongwen Wang China 15 396 1.0× 22 0.1× 180 1.6× 124 1.7× 137 2.2× 81 866
Huiying Gao China 15 252 0.6× 34 0.2× 47 0.4× 127 1.8× 33 0.5× 71 655
Hoda Baraka Egypt 8 166 0.4× 46 0.3× 119 1.0× 219 3.0× 90 1.5× 23 784
Shan Wang China 19 316 0.8× 29 0.2× 138 1.2× 61 0.8× 70 1.1× 68 1.1k

Countries citing papers authored by Kyoung‐Won Cho

Since Specialization
Citations

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

Fields of papers citing papers by Kyoung‐Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyoung‐Won Cho. 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 Kyoung‐Won Cho. The network helps show where Kyoung‐Won Cho may publish in the future.

Co-authorship network of co-authors of Kyoung‐Won Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Kyoung‐Won Cho. A scholar is included among the top collaborators of Kyoung‐Won Cho 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 Kyoung‐Won Cho. Kyoung‐Won Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Choi, Youngha, Hyejin Yang, Soyoung Jeon, et al.. (2024). Prediction of insulin resistance and elevated liver transaminases using serum uric acid and derived markers in children and adolescents. European Journal of Clinical Nutrition. 78(10). 864–871. 3 indexed citations
2.
3.
Kim, Min Kyung & Kyoung‐Won Cho. (2020). Effects of Health Risk Behaviors on Adolescents' Suicidal Behavior. The Korean Journal of Health Service Management. 14(4). 117–129. 1 indexed citations
4.
Cho, Kyoung‐Won, et al.. (2019). Topic Modeling on Research Trends of Industry 4.0 Using Text Mining. The Journal of the Korean Institute of Information and Communication Engineering. 23(7). 764–770. 2 indexed citations
5.
Cho, Ju‐Yeon & Kyoung‐Won Cho. (2018). Topic Modeling on the Adolescent Problem Using Text Mining. The Journal of the Korean Institute of Information and Communication Engineering. 22(12). 1589–1595. 1 indexed citations
6.
Cho, Kyoung‐Won, et al.. (2018). Analysis on CSR of Hospitals for Application of ISO 26000. The Korean Journal of Health Service Management. 12(1). 161–171.
7.
Cho, Kyoung‐Won, Jakyoung Lee, Jihye Ryu, & Soo‐Jeong Kim. (2017). Effects of Anti-Smoking Public Service Announcements on the Attitudes of Korean College Students toward Smoking. Osong Public Health and Research Perspectives. 8(6). 397–404. 6 indexed citations
8.
Kim, Hoe Suk, Kyoung‐Won Cho, Hyun Jin Kim, et al.. (2013). Noninvasive Identification of Viable Cell Populations in Docetaxel-Treated Breast Tumors Using Ferritin-Based Magnetic Resonance Imaging. PLoS ONE. 8(1). e52931–e52931. 15 indexed citations
9.
Cho, Kyoung‐Won, Hyuk Jae Kwon, Jeong-Oh Shin, et al.. (2012). Retinoic acid signaling and the initiation of mammary gland development. Developmental Biology. 365(1). 259–266. 33 indexed citations
10.
Shin, Jeong-Oh, Eun‐Jung Kim, Kyoung‐Won Cho, et al.. (2012). BMP4 signaling mediates Zeb family in developing mouse tooth. Histochemistry and Cell Biology. 137(6). 791–800. 15 indexed citations
11.
Lee, Jong‐Min, Jeong-Oh Shin, Kyoung‐Won Cho, et al.. (2011). Runx3 is a crucial regulator of alveolar differentiation and lung tumorigenesis in mice. Differentiation. 81(4). 261–268. 24 indexed citations
12.
Shin, Jeong-Oh, Jong‐Min Lee, Kyoung‐Won Cho, et al.. (2011). MiR-200b is involved in Tgf-β signaling to regulate mammalian palate development. Histochemistry and Cell Biology. 137(1). 67–78. 46 indexed citations
13.
Park, Jihee, et al.. (2010). Hydrogenation Properties of $MgH_x-V_2O_5$ Composites by Hydrogen Induced Mechanical Alloying. Journal of Hydrogen and New Energy. 21(1). 58–63. 1 indexed citations
14.
Kim, Se Hwa, Kyoung‐Won Cho, Han Seok Choi, et al.. (2009). The forkhead transcription factor Foxc2 stimulates osteoblast differentiation. Biochemical and Biophysical Research Communications. 386(3). 532–536. 32 indexed citations
15.
Cho, Kyoung‐Won, et al.. (2009). Hydrogenation Properties of $Mg_2$Ni-(5, 10mass)$NbH_x$ Composites by Reactive Mechanical Alloying. Journal of Hydrogen and New Energy. 20(6). 512–518. 1 indexed citations
16.
Kim, Jae‐Young, Min-Jung Lee, Kyoung‐Won Cho, et al.. (2008). Shh and ROCK1 modulate the dynamic epithelial morphogenesis in circumvallate papilla development. Developmental Biology. 325(1). 273–280. 34 indexed citations
17.
Lee, Jong‐Min, Jae‐Young Kim, Kyoung‐Won Cho, et al.. (2008). Wnt11/Fgfr1b cross-talk modulates the fate of cells in palate development. Developmental Biology. 314(2). 341–350. 47 indexed citations
18.
Lee, Jong‐Min, Jae‐Young Kim, Kyoung‐Won Cho, et al.. (2006). Modulation of cell proliferation during palatogenesis by the interplay between Tbx3 and Bmp4. Cell and Tissue Research. 327(2). 285–292. 14 indexed citations
19.
Chae, Young Moon, et al.. (2001). Data mining approach to policy analysis in a health insurance domain. International Journal of Medical Informatics. 62(2-3). 103–111. 90 indexed citations
20.
Chae, Young Moon, et al.. (2000). Data Mining for Knowledge Management in a Health Insurance Domain. Journal of Intelligence and Information Systems. 6(1). 73–81. 1 indexed citations

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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