Gi Young Jang

1.2k total citations
51 papers, 631 citations indexed

About

Gi Young Jang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Gi Young Jang has authored 51 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 27 papers in Pulmonary and Respiratory Medicine and 12 papers in Molecular Biology. Recurrent topics in Gi Young Jang's work include Coronary Artery Anomalies (20 papers), Kawasaki Disease and Coronary Complications (20 papers) and Congenital Heart Disease Studies (8 papers). Gi Young Jang is often cited by papers focused on Coronary Artery Anomalies (20 papers), Kawasaki Disease and Coronary Complications (20 papers) and Congenital Heart Disease Studies (8 papers). Gi Young Jang collaborates with scholars based in South Korea, United States and Japan. Gi Young Jang's co-authors include Chang Sung Son, Jang‐Seu Ki, Myung‐Soo Han, Kee Soo Ha, John Brumbaugh, David L. Steffens, Joo Won Lee, Young Mi Hong, Jong‐Keuk Lee and Jae Young Lee and has published in prestigious journals such as Nucleic Acids Research, Genome Research and The American Journal of Cardiology.

In The Last Decade

Gi Young Jang

45 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gi Young Jang South Korea 13 247 244 173 114 91 51 631
Alexander Meyer Germany 20 246 1.0× 454 1.9× 201 1.2× 48 0.4× 66 0.7× 77 1.0k
R. L. Capen United States 17 372 1.5× 95 0.4× 64 0.4× 85 0.7× 55 0.6× 22 777
Joseph A. Posluszny United States 16 109 0.4× 206 0.8× 96 0.6× 82 0.7× 134 1.5× 35 720
Zhenwei Wang China 15 96 0.4× 110 0.5× 239 1.4× 135 1.2× 130 1.4× 84 864
Jonathan Florentin United States 17 179 0.7× 48 0.2× 211 1.2× 82 0.7× 75 0.8× 40 765
Ulrich Schweigmann Austria 11 125 0.5× 176 0.7× 295 1.7× 251 2.2× 112 1.2× 24 717
Steven Woolley United States 16 198 0.8× 262 1.1× 151 0.9× 59 0.5× 125 1.4× 31 727
Marco Silva Portugal 16 231 0.9× 274 1.1× 60 0.3× 15 0.1× 149 1.6× 75 797
Peter Laws Australia 9 90 0.4× 256 1.0× 150 0.9× 33 0.3× 90 1.0× 20 553
M Sekiguchi Japan 16 246 1.0× 221 0.9× 150 0.9× 502 4.4× 111 1.2× 84 1.1k

Countries citing papers authored by Gi Young Jang

Since Specialization
Citations

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

Fields of papers citing papers by Gi Young Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gi Young Jang. 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 Gi Young Jang. The network helps show where Gi Young Jang may publish in the future.

Co-authorship network of co-authors of Gi Young Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Gi Young Jang. A scholar is included among the top collaborators of Gi Young Jang 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 Gi Young Jang. Gi Young Jang 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.
Jang, Gi Young, Ji Yeon Baek, Jun‐Pyo Myong, et al.. (2025). Long-Term Health and Cost Outcomes of a 24-Week Multicomponent Frailty Intervention in Older Adults. JAMA Network Open. 8(11). e2543278–e2543278.
2.
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
3.
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Ha, Kee Soo, et al.. (2018). Chronological Echocardiographic Changes in Healthy Term Neonates within Postnatal 72 Hours Using Doppler Studies. Journal of Korean Medical Science. 33(22). e155–e155. 12 indexed citations
10.
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
11.
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
12.
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
13.
Kim, Yong‐Hyun, Gi Young Jang, Chang Sung Son, & Seong‐Mi Park. (2010). Right Ventricular Dysplasia with Massive Thromboemboli in Tuberous Sclerosis Complex. Pediatric Cardiology. 31(4). 567–568. 2 indexed citations
14.
Han, Jae Joon, Hyung Eun Yim, Gi Young Jang, et al.. (2009). Albumin versus normal saline for dehydrated term infants with metabolic acidosis due to acute diarrhea. Journal of Perinatology. 29(6). 444–447. 4 indexed citations
15.
Yim, Hyung Eun, Eun Hee Lee, Gi Young Jang, et al.. (2009). Questionnaire survey on pediatric hypertension in Japan and Korea. Pediatrics International. 52(1). 1–5. 1 indexed citations
16.
Park, Inkeun, et al.. (2008). Dose Escalation of Imatinib After Failure of Standard Dose in Korean Patients with Metastatic or Unresectable Gastrointestinal Stromal Tumor. Japanese Journal of Clinical Oncology. 39(2). 105–110. 21 indexed citations
17.
Ki, Jang‐Seu, et al.. (2007). Direct DNA isolation from solid biological sources without pretreatments with proteinase-K and/or homogenization through automated DNA extraction. Journal of Bioscience and Bioengineering. 103(3). 242–246. 17 indexed citations
18.
19.
Roy, R., et al.. (1996). Producing STR Locus Patterns from Bloodstains and Other Forensic Samples Using an Infrared Fluorescent Automated DNA Sequencer. Journal of Forensic Sciences. 41(3). 418–424. 42 indexed citations
20.
Steffens, David L., Gi Young Jang, John Brumbaugh, et al.. (1995). An infrared fluorescent dATP for labeling DNA.. Genome Research. 5(4). 393–399. 20 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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