Gu-Hwan Kim

3.1k total citations
180 papers, 2.2k citations indexed

About

Gu-Hwan Kim is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Gu-Hwan Kim has authored 180 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 53 papers in Genetics and 28 papers in Clinical Biochemistry. Recurrent topics in Gu-Hwan Kim's work include Metabolism and Genetic Disorders (28 papers), Sexual Differentiation and Disorders (19 papers) and Lysosomal Storage Disorders Research (17 papers). Gu-Hwan Kim is often cited by papers focused on Metabolism and Genetic Disorders (28 papers), Sexual Differentiation and Disorders (19 papers) and Lysosomal Storage Disorders Research (17 papers). Gu-Hwan Kim collaborates with scholars based in South Korea, United States and Germany. Gu-Hwan Kim's co-authors include Han‐Wook Yoo, Jin‐Ho Choi, Beom Hee Lee, Jung Min Ko, Jae‐Min Kim, Ja Hye Kim, Yoo‐Mi Kim, Hye Young Jin, Eungu Kang and Young‐Lim Shin and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Ophthalmology and Journal of neurosurgery.

In The Last Decade

Gu-Hwan Kim

167 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gu-Hwan Kim South Korea 26 1.1k 591 374 313 301 180 2.2k
Carlos R. Ferreira United States 22 970 0.9× 698 1.2× 145 0.4× 336 1.1× 300 1.0× 101 2.1k
Katsuhiko Asanuma Japan 29 1.5k 1.4× 668 1.1× 158 0.4× 284 0.9× 189 0.6× 89 4.0k
Sandra Merscher United States 26 1.2k 1.1× 314 0.5× 190 0.5× 238 0.8× 217 0.7× 56 2.9k
Daniela Melis Italy 25 580 0.5× 691 1.2× 197 0.5× 224 0.7× 651 2.2× 107 1.8k
Philip Babij United States 26 2.1k 1.9× 463 0.8× 127 0.3× 425 1.4× 501 1.7× 37 3.4k
Susana Balcells Spain 26 1.2k 1.1× 467 0.8× 95 0.3× 290 0.9× 297 1.0× 105 2.0k
Jung Min Ko South Korea 22 767 0.7× 677 1.1× 145 0.4× 120 0.4× 123 0.4× 156 1.6k
Elena Ambrogini United States 23 1.5k 1.4× 574 1.0× 236 0.6× 267 0.9× 185 0.6× 42 3.0k
Kanya Suphapeetiporn Thailand 23 804 0.7× 714 1.2× 119 0.3× 144 0.5× 403 1.3× 131 2.0k
Dongxing Zhu United Kingdom 22 676 0.6× 337 0.6× 262 0.7× 109 0.3× 241 0.8× 42 1.7k

Countries citing papers authored by Gu-Hwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gu-Hwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gu-Hwan Kim. 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 Gu-Hwan Kim. The network helps show where Gu-Hwan Kim may publish in the future.

Co-authorship network of co-authors of Gu-Hwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gu-Hwan Kim. A scholar is included among the top collaborators of Gu-Hwan Kim 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 Gu-Hwan Kim. Gu-Hwan Kim 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.
Hwang, Soojin, Mi‐Sun Yum, Min‐Jee Kim, et al.. (2025). Expanding genetic and clinical spectra of β-tubulinopathies: A Korean study. Journal of Human Genetics. 71(3). 151–159.
2.
Hwang, Soojin, et al.. (2024). Prenatal diagnosis of congenital adrenal hyperplasia due to 21-hydroxylase deficiency through molecular genetic analysis of the CYP21A2 gene. Annals of Pediatric Endocrinology & Metabolism. 29(1). 54–59. 2 indexed citations
3.
Kim, Ja Hye, et al.. (2023). Clinical outcomes and genotype-phenotype correlations in patients with complete and partial androgen insensitivity syndromes. Annals of Pediatric Endocrinology & Metabolism. 28(3). 184–192. 1 indexed citations
4.
Kim, Ja Hye, Gu-Hwan Kim, Han‐Wook Yoo, & Jin‐Ho Choi. (2023). Molecular basis and genetic testing strategies for diagnosing 21-hydroxylase deficiency, including CAH-X syndrome. Annals of Pediatric Endocrinology & Metabolism. 28(2). 77–86. 3 indexed citations
5.
Hwang, Soojin, et al.. (2022). Genotype-phenotype correlations and long-term efficacy of pamidronate therapy in patients with osteogenesis imperfecta. Annals of Pediatric Endocrinology & Metabolism. 27(1). 22–29. 5 indexed citations
6.
Kim, Jin‐Kyung, et al.. (2020). A female with typical fragile-X phenotype caused by maternal isodisomy of the entire X chromosome. Journal of Human Genetics. 65(6). 551–555. 3 indexed citations
7.
Lee, Junwon, et al.. (2020). Aberrant expression of PAX6 gene associated with classical aniridia: identification and functional characterization of novel noncoding mutations. Journal of Human Genetics. 66(3). 333–338. 9 indexed citations
8.
Kim, Yoo‐Mi, Jin‐Ho Choi, Beom Hee Lee, et al.. (2020). Predominance of the c.648G > T G6PC gene mutation and late complications in Korean patients with glycogen storage disease type Ia. Orphanet Journal of Rare Diseases. 15(1). 45–45. 18 indexed citations
9.
Choi, Jin‐Ho, Arum Oh, Gu-Hwan Kim, et al.. (2020). Clinical, endocrinological, and molecular features of four Korean cases of cytochrome P450 oxidoreductase deficiency. Annals of Pediatric Endocrinology & Metabolism. 25(2). 97–103. 6 indexed citations
10.
11.
Seo, Go Hun, et al.. (2018). A case of an infant suspected as IMAGE syndrome who were finally diagnosed with MIRAGE syndrome by targeted Mendelian exome sequencing. BMC Medical Genetics. 19(1). 35–35. 15 indexed citations
12.
Kang, Eungu, et al.. (2017). DEND Syndrome with Heterozygous KCNJ11 Mutation Successfully Treated with Sulfonylurea. Journal of Korean Medical Science. 32(6). 1042–1042. 13 indexed citations
13.
Lee, Beom Hee, Ahmed Abdalla, Jin‐Ho Choi, et al.. (2017). A multicenter, open-label, phase III study of Abcertin in Gaucher disease. Medicine. 96(45). e8492–e8492. 6 indexed citations
14.
Park, Eujin, Beom Hee Lee, Gu-Hwan Kim, et al.. (2017). Genotype and Phenotype Analysis in Pediatric Patients with Cystinuria. Journal of Korean Medical Science. 32(2). 310–310. 13 indexed citations
15.
Kang, Min‐Ji, et al.. (2016). Identification of DGUOK and MPV17 Mutations in Patients with Hepatocerebral Mitochondrial DNA Depletion Syndrome. 88.
16.
Kang, Eungu, et al.. (2016). Long-term efficacy of recombinant human growth hormone therapy in short-statured patients with Noonan syndrome. Annals of Pediatric Endocrinology & Metabolism. 21(1). 26–26. 13 indexed citations
17.
Choi, Jin‐Ho, Beom Hee Lee, Young Bae Sohn, et al.. (2015). A Phase 2 Multi-center, Open-label, Switch-over Trial to Evaluate the Safety and Efficacy of Abcertin® in Patients with Type 1 Gaucher Disease. Journal of Korean Medical Science. 30(4). 378–378. 7 indexed citations
19.
Kim, Gu-Hwan, et al.. (2007). Identification of novel mutations of the ATP7A gene and prenatal diagnosis of Menkes disease by mutation analysis. 23(1). 220. 2 indexed citations
20.
Yoo, Han‐Wook, et al.. (2001). Identification of Novel Mutations and Three Most Common Mutations in the Human ATP7B Gene of Korean Patients with Wilson Disease. Korean Journal of Pediatrics. 44(5). 569–576. 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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