Jae-Jung Kim

864 total citations
27 papers, 425 citations indexed

About

Jae-Jung Kim is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Jae-Jung Kim has authored 27 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 12 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in Jae-Jung Kim's work include Kawasaki Disease and Coronary Complications (13 papers), Coronary Artery Anomalies (11 papers) and Cardiac Structural Anomalies and Repair (6 papers). Jae-Jung Kim is often cited by papers focused on Kawasaki Disease and Coronary Complications (13 papers), Coronary Artery Anomalies (11 papers) and Cardiac Structural Anomalies and Repair (6 papers). Jae-Jung Kim collaborates with scholars based in South Korea, United States and Japan. Jae-Jung Kim's co-authors include Jong‐Keuk Lee, Seng-Phil Hong, Han‐Wook Yoo, Hae-In Lee, Young Mi Hong, Gi Young Jang, Sin Weon Yun, Min Seob Song, Hye Won Lee and Kyung‐Yil Lee and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Hypertension and Human Genetics.

In The Last Decade

Jae-Jung Kim

26 papers receiving 416 citations

Peers

Jae-Jung Kim

SURGE

PRM

GENET

CCM

Kees H. de Jong Netherlands

J C Potier France

Izabella Kovács Romania

Masashi Sato Japan

Arne IJpma Netherlands

Junhong Chen China

Akio Hirano Japan

Karl Stamm United States

Yifan Lin China

Markus Wolfien Germany

Kees H. de Jong Netherlands

Jae-Jung Kim

161 ×1.0

SURGE

72 ×0.5

PRM

263 ×2.2

173 ×1.6

GENET

11 ×0.2

CCM

Citations per year, relative to Jae-Jung Kim Jae-Jung Kim (= 1×) peers Kees H. de Jong

Countries citing papers authored by Jae-Jung Kim

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Jung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae-Jung Kim

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

All Works

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20 of 20 papers shown

Kim, Jae-Jung, Young Mi Hong, Sin Weon Yun, et al.. (2024). Sex-Specific Susceptibility Loci Associated With Coronary Artery Aneurysms in Patients With Kawasaki Disease. Korean Circulation Journal. 54(9). 577–577. 1 indexed citations

Kim, Jae-Jung, Young Mi Hong, Sin Weon Yun, et al.. (2023). Identification of B-cell-related HSPG2 and CDSN as susceptibility loci for Kawasaki disease. Human Immunology. 84(10). 567–570. 1 indexed citations

Kim, Man Soo, Jae-Jung Kim, Kiho Kang, Jeong‐Han Lee, & Yong In. (2023). Detection of Prosthetic Loosening in Hip and Knee Arthroplasty Using Machine Learning: A Systematic Review and Meta-Analysis. Medicina. 59(4). 782–782. 8 indexed citations

Kim, Jae-Jung, Jeong Jin Yu, Sin Weon Yun, et al.. (2021). IgA Levels Are Associated with Coronary Artery Lesions in Kawasaki Disease. Korean Circulation Journal. 51(3). 267–267. 12 indexed citations

Kim, Jae-Jung, Young Mi Hong, Sin Weon Yun, et al.. (2021). Identification of rare coding variants associated with Kawasaki disease by whole exome sequencing. Genomics & Informatics. 19(4). e38–e38. 4 indexed citations

Kim, Jae-Jung, Sin Weon Yun, Jeong Jin Yu, et al.. (2020). Association of the IL16 Asn1147Lys polymorphism with intravenous immunoglobulin resistance in Kawasaki disease. Journal of Human Genetics. 65(4). 421–426. 4 indexed citations

Kim, Jae-Jung, Sin Weon Yun, Jeong Jin Yu, et al.. (2019). Identification of SAMD9L as a susceptibility locus for intravenous immunoglobulin resistance in Kawasaki disease by genome-wide association analysis. The Pharmacogenomics Journal. 20(1). 80–86. 11 indexed citations

Park, Hyein, Jae-Jung Kim, Sin Weon Yun, et al.. (2018). Assessment of the Clinical Heterogeneity of Kawasaki Disease Using Genetic Variants ofBLKandFCGR2A. Korean Circulation Journal. 49(1). 99–99. 5 indexed citations

Kim, Jae-Jung, Jeong Jin Yu, Sin Weon Yun, et al.. (2018). Identification of the TIFAB Gene as a Susceptibility Locus for Coronary Artery Aneurysm in Patients with Kawasaki Disease. Pediatric Cardiology. 40(3). 483–488. 17 indexed citations

10.

Park, Yu Rang, Jae-Jung Kim, Young‐Kwang Yoon, et al.. (2016). Establishment of Kawasaki disease database based on metadata standard. Database. 2016. baw109–baw109. 7 indexed citations

11.

Kim, Jae-Jung, Sin Weon Yun, Jeong Jin Yu, et al.. (2014). Common Variants in the CRP Promoter are Associated with a High C-Reactive Protein Level in Kawasaki Disease. Pediatric Cardiology. 36(2). 438–444. 12 indexed citations

12.

Lim, Young‐Min, InSong Koh, Young-Mi Park, et al.. (2012). Exome sequencing identifies KIAA1377 and C5orf42 as susceptibility genes for monomelic amyotrophy. Neuromuscular Disorders. 22(5). 394–400. 19 indexed citations

13.

Kim, Jae-Jung, Young Mi Hong, Sin Weon Yun, et al.. (2011). Assessment of Risk Factors for Korean Children with Kawasaki Disease. Pediatric Cardiology. 33(4). 513–520. 45 indexed citations

14.

Kim, Jae-Jung, Young-Mi Park, InSong Koh, et al.. (2011). Exome sequencing and subsequent association studies identify five amino acid-altering variants influencing human height. Human Genetics. 131(3). 471–478. 23 indexed citations

15.

Kim, Jae-Jung & Seng-Phil Hong. (2011). A Method of Risk Assessment for Multi-Factor Authentication. Journal of Information Processing Systems. 7(1). 187–198. 39 indexed citations

16.

Kim, Jae-Jung, Bok‐Ghee Han, Hae-In Lee, Han‐Wook Yoo, & Jong‐Keuk Lee. (2009). Development of SNP-based human identification system. International Journal of Legal Medicine. 124(2). 125–131. 34 indexed citations

17.

Kim, Jae-Jung, Hae-In Lee, Taesung Park, et al.. (2009). Identification of 15 loci influencing height in a Korean population. Journal of Human Genetics. 55(1). 27–31. 86 indexed citations

18.

Kim, Sun, Yong‐Sung Kim, Jae-Jung Kim, et al.. (2008). TNFR1 promoter −329G/T polymorphism results in allele-specific repression of TNFR1 expression. Biochemical and Biophysical Research Communications. 368(2). 395–401. 16 indexed citations

19.

Jang, Yangsoo, Sungha Park, Jae-Jung Kim, et al.. (2007). Association of α-adducin Gly460Trp polymorphism with coronary artery disease in a Korean population. Journal of Hypertension. 25(12). 2413–2420. 7 indexed citations

20.

Kim, Ju‐Young, Jae-Jung Kim, Hyun‐Hee Kim, et al.. (2004). Identification of single nucleotide polymorphisms in the tumor necrosis factor (TNF) and TNF receptor superfamily in the Korean population. Human Immunology. 65(7). 710–718. 4 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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