Chun‐Hyung Kim

4.3k total citations · 1 hit paper
48 papers, 3.2k citations indexed

About

Chun‐Hyung Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Chun‐Hyung Kim has authored 48 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 4 papers in Surgery. Recurrent topics in Chun‐Hyung Kim's work include Nuclear Receptors and Signaling (9 papers), Pluripotent Stem Cells Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Chun‐Hyung Kim is often cited by papers focused on Nuclear Receptors and Signaling (9 papers), Pluripotent Stem Cells Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Chun‐Hyung Kim collaborates with scholars based in United States, South Korea and Indonesia. Chun‐Hyung Kim's co-authors include Kwang‐Soo Kim, Mi‐Yoon Chang, Baek‐Soo Han, Dohoon Kim, Robert Lanza, Eungi Yang, Sanghyeok Ko, Kwang Yul, Jung-Il Moon and Kwang‐Soo Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Chun‐Hyung Kim

47 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generation of Human Induced Pluripotent Stem Cells by Direct Delivery of Reprogramming Proteins

2009 1.3k citations Dohoon Kim, Chun‐Hyung Kim et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun‐Hyung Kim United States	22	2.1k	925	409	351	340	48	3.2k
Tobias M. Böckers Germany	36	1.3k 0.6×	1.0k 1.1×	235 0.6×	432 1.2×	473 1.4×	85	3.2k
Perry B. Shieh United States	27	1.7k 0.8×	791 0.9×	201 0.5×	320 0.9×	388 1.1×	106	2.8k
Shilpa D. Kadam United States	30	2.1k 1.0×	784 0.8×	181 0.4×	471 1.3×	119 0.3×	64	3.5k
Renata Ciccarelli Italy	34	1.3k 0.6×	1.1k 1.2×	290 0.7×	260 0.7×	192 0.6×	97	3.3k
Francesco Caciagli Italy	35	1.3k 0.6×	1.5k 1.6×	354 0.9×	278 0.8×	182 0.5×	101	3.7k
Jun Gao China	26	3.6k 1.7×	792 0.9×	843 2.1×	675 1.9×	190 0.6×	63	5.6k
Masahisa Yamada Japan	33	2.3k 1.1×	1.8k 2.0×	488 1.2×	191 0.5×	167 0.5×	58	3.7k
Pedro de la Villa Spain	34	2.4k 1.1×	1.1k 1.2×	351 0.9×	134 0.4×	169 0.5×	133	3.9k
Jia‐Da Li China	29	1.2k 0.6×	599 0.6×	326 0.8×	397 1.1×	170 0.5×	131	3.0k
Lee Barrett United States	21	1.1k 0.5×	1.1k 1.2×	797 1.9×	225 0.6×	158 0.5×	30	2.6k

Countries citing papers authored by Chun‐Hyung Kim

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Hyung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hyung 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 Chun‐Hyung Kim. The network helps show where Chun‐Hyung Kim may publish in the future.

Co-authorship network of co-authors of Chun‐Hyung Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kang, Young Cheol, Min Jung Kim, Jung Wook Hwang, et al.. (2025). Mitochondrial transplantation as a novel therapeutic approach in idiopathic inflammatory myopathy. Annals of the Rheumatic Diseases. 84(4). 609–619. 8 indexed citations

Kang, Young Cheol, et al.. (2024). Mitochondrial Transplantation Ameliorates Pulmonary Fibrosis by Suppressing Myofibroblast Activation. International Journal of Molecular Sciences. 25(23). 12783–12783. 4 indexed citations

Kim, Bong Jik, Jin Hee Han, Min Young Kim, et al.. (2024). Novel Variant of FDXR as a Molecular Etiology of Postlingual Post-synaptic Auditory Neuropathy Spectrum Disorder via Mitochondrial Dysfunction: Reiteration of the Correlation between Genotype and Cochlear Implantation Outcomes. Clinical and Experimental Otorhinolaryngology. 17(3). 206–216. 1 indexed citations

Kim, Soomin, Yujin Kim, Jong-Hyeok Park, et al.. (2022). Platelet-derived mitochondria transfer facilitates wound-closure by modulating ROS levels in dermal fibroblasts. Platelets. 34(1). 2151996–2151996. 20 indexed citations

Kim, Yujin, Jung Wook Hwang, Nayoung Kim, et al.. (2019). Hair growth-promoting effect of recombinant human sonic hedgehog proteins. SHILAP Revista de lepidopterología. 3(1). 3 indexed citations

Park, Tae Yoon, Yongwoo Jang, Woori Kim, et al.. (2019). Chloroquine modulates inflammatory autoimmune responses through Nurr1 in autoimmune diseases. Scientific Reports. 9(1). 15559–15559. 38 indexed citations

Cha, Young, Min-Joon Han, Hyuk‐Jin Cha, et al.. (2017). Metabolic control of primed human pluripotent stem cell fate and function by the miR-200c–SIRT2 axis. Nature Cell Biology. 19(5). 445–456. 136 indexed citations

Kim, Chun‐Hyung, Baek‐Soo Han, Jisook Moon, et al.. (2015). Nuclear receptor Nurr1 agonists enhance its dual functions and improve behavioral deficits in an animal model of Parkinson’s disease. Proceedings of the National Academy of Sciences. 112(28). 8756–8761. 151 indexed citations

Leblanc, Pierre, et al.. (2015). Production of Nurr-1 Specific Polyclonal Antibodies Free of Cross-reactivity Against Its Close Homologs, Nor1 and Nur77. Journal of Visualized Experiments. e52963–e52963. 3 indexed citations

10.

Chung, Sangmi, Chun‐Hyung Kim, & Kwang‐Soo Kim. (2012). Lmx1a regulates dopamine transporter gene expression during ES cell differentiation and mouse embryonic development. Journal of Neurochemistry. 122(2). 244–250. 10 indexed citations

11.

Kim, Chun‐Hyung, Amanda Leung, Yang Hoon Huh, et al.. (2011). Norepinephrine Deficiency Is Caused by Combined Abnormal mRNA Processing and Defective Protein Trafficking of Dopamine β-Hydroxylase. Journal of Biological Chemistry. 286(11). 9196–9204. 19 indexed citations

12.

Kim, Dohoon, Chun‐Hyung Kim, Jung-Il Moon, et al.. (2009). Generation of Human Induced Pluripotent Stem Cells by Direct Delivery of Reprogramming Proteins. Cell stem cell. 4(6). 472–476. 1276 indexed citations breakdown →

13.

Cho, Sonhae, Chun‐Hyung Kim, Joseph F. Cubells, et al.. (2003). Variations in the dopamine β‐hydroxylase gene are not associated with the autonomic disorders, pure autonomic failure, or multiple system atrophy. American Journal of Medical Genetics Part A. 120A(2). 234–236. 10 indexed citations

14.

Garland, Emily M., Maureen K. Hahn, Nancy R. Keller, et al.. (2002). Genetic Basis of Clinical Catecholamine Disorders. Annals of the New York Academy of Sciences. 971(1). 506–514. 13 indexed citations

15.

Seo, Hyemyung, Seok Jong Hong, Su Guo, et al.. (2002). A direct role of the homeodomain proteins Phox2a/2b in noradrenaline neurotransmitter identity determination. Journal of Neurochemistry. 80(5). 905–916. 37 indexed citations

16.

Hong, Seok Jong, Chun‐Hyung Kim, & Kwang‐Soo Kim. (2001). Structural and functional characterization of the 5′ upstream promoter of the humanPhox2agene: possible direct transactivation by transcription factor Phox2b. Journal of Neurochemistry. 79(6). 1225–1236. 21 indexed citations

17.

Kim, Chun‐Hyung, Paul Ardayfio, & Kwang‐Soo Kim. (2001). An E-box Motif Residing in the Exon/Intron 1 Junction Regulates Both Transcriptional Activation and Splicing of the Human Norepinephrine Transporter Gene. Journal of Biological Chemistry. 276(27). 24797–24805. 13 indexed citations

18.

Zabetian, Cyrus P., George Anderson, Sarah G. Buxbaum, et al.. (2001). A Quantitative-Trait Analysis of Human Plasma–Dopamine β-Hydroxylase Activity: Evidence for a Major Functional Polymorphism at the DBH Locus. The American Journal of Human Genetics. 68(2). 515–522. 228 indexed citations

19.

Kim, Chun‐Hyung, Heesun Kim, Joseph F. Cubells, & Kwangsoo Kim. (1999). A Previously Undescribed Intron and Extensive 5′ Upstream Sequence, but Not Phox2a-mediated Transactivation, Are Necessary for High Level Cell Type-specific Expression of the Human Norepinephrine Transporter Gene. Journal of Biological Chemistry. 274(10). 6507–6518. 109 indexed citations

20.

Yang, Chunying, Hee‐Sun Kim, Hyemyung Seo, et al.. (1998). Paired‐Like Homeodomain Proteins, Phox2a and Phox2b, Are Responsible for Noradrenergic Cell‐Specific Transcription of the Dopamine β‐Hydroxylase Gene. Journal of Neurochemistry. 71(5). 1813–1826. 121 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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