Hyun Wook Chae

2.7k citations
133 papers · 1.8k indexed · 1 hit paper · h-index 21
Topics
Growth Hormone and Insulin-like Growth Factors (25 papers)Sexual Differentiation and Disorders (16 papers)Liver Disease Diagnosis and Treatment (14 papers)

In The Last Decade

Hyun Wook Chae

121 papers receiving 1.8k citations

Hit Papers

The 2017 Korean National Growth Charts for children and a...20182026202020232018100200300400

Peers

Hyun Wook Chae
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 544
  • Molecular Biology 319
  • Genetics 317
  • Public Health, Environmental and Occupational Health 316
  • Surgery 280
Replace Jin Soon Hwang with:
Jin Soon Hwang South Korea
Zehra Aycan Türkiye
Hülya Günöz Türkiye
Aysun Bıdecı Türkiye
Ayhan Abacı Türkiye
Eleni Armeni Greece
Jenny M. Kindblom Sweden
Ellen L. Connor United States
Haiying Zhang China
Peyamı Cınaz Türkiye
Hyun Wook Chae relative to Jin Soon Hwang South Korea Jin Soon Hwang's profile →
Citations per field
00.5×1.5×2.3×
Jin Soon Hwang · 1×
Citations per year

Countries citing papers authored by Hyun Wook Chae

Since Specialization
Citations

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

Fields of papers citing papers by Hyun Wook Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun Wook Chae. 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 Hyun Wook Chae. The network helps show where Hyun Wook Chae may publish in the future.

Co-authorship network of co-authors of Hyun Wook Chae

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Wook Chae. A scholar is included among the top collaborators of Hyun Wook Chae 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 Hyun Wook Chae. Hyun Wook Chae 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
#WorkIndexed citations
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2 0
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8 9
9 19
10 0
11 20
12 3
13 1
14 1
15 3
16 11
17 14
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The 2017 Korean National Growth Charts for children and adolescents: development, improvement, and prospectsbreakdown →
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About Hyun Wook Chae

Hyun Wook Chae is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 133 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (25 papers), Sexual Differentiation and Disorders (16 papers) and Liver Disease Diagnosis and Treatment (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (544 citations), Reproductive Medicine (229 citations) and Pediatrics, Perinatology and Child Health (239 citations). Hyun Wook Chae has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Ho-Seong Kim, Ahreum Kwon, Kyungchul Song, Junghwan Suh, Jae Hyun Kim, Jin Soo Moon, Seung-Sik Hwang, Mo Kyung Jung, Jung Ok Shim and Sei Won Yang. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

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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