Kijeong Kim

1.6k total citations
50 papers, 1.1k citations indexed

About

Kijeong Kim is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Kijeong Kim has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Kijeong Kim's work include Mycobacterium research and diagnosis (9 papers), Forensic and Genetic Research (7 papers) and Infectious Diseases and Mycology (7 papers). Kijeong Kim is often cited by papers focused on Mycobacterium research and diagnosis (9 papers), Forensic and Genetic Research (7 papers) and Infectious Diseases and Mycology (7 papers). Kijeong Kim collaborates with scholars based in South Korea, United States and Mongolia. Kijeong Kim's co-authors include Bum‐Joon Kim, Wonyong Kim, Kyung‐Yong Kim, Sang‐In Chung, Kyung-Hee Paek, Seoung-Ae Lee, Terrance Leighton, Donghwa Kim, Sung‐Su Kim and Kee Namkoong and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physiology.

In The Last Decade

Kijeong Kim

49 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kijeong Kim South Korea 19 443 205 201 191 102 50 1.1k
Iwona Bukowska‐Ośko Poland 15 215 0.5× 162 0.8× 285 1.4× 43 0.2× 154 1.5× 38 928
Ruitang Deng United States 29 506 1.1× 325 1.6× 677 3.4× 179 0.9× 77 0.8× 46 2.3k
Soon-Young Paik South Korea 20 374 0.8× 415 2.0× 137 0.7× 132 0.7× 75 0.7× 76 1.1k
Nathalie Jourdan France 20 310 0.7× 323 1.6× 76 0.4× 266 1.4× 32 0.3× 45 1.2k
Kyung‐Yeol Lee South Korea 24 698 1.6× 145 0.7× 136 0.7× 202 1.1× 13 0.1× 51 1.5k
Vuong Nghia Bui Vietnam 19 217 0.5× 301 1.5× 357 1.8× 83 0.4× 21 0.2× 62 1.1k
Jiayan Wu China 20 756 1.7× 121 0.6× 187 0.9× 99 0.5× 13 0.1× 47 1.5k
Marı́a Angélica Santana Mexico 21 520 1.2× 120 0.6× 127 0.6× 336 1.8× 16 0.2× 75 1.5k
Hongyan Xie China 15 265 0.6× 67 0.3× 59 0.3× 100 0.5× 33 0.3× 90 939

Countries citing papers authored by Kijeong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kijeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kijeong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kijeong Kim. A scholar is included among the top collaborators of Kijeong 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 Kijeong Kim. Kijeong 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.
Kim, Kijeong, et al.. (2022). Mitochondrial Haplogroup Classification of Ancient DNA Samples Using Haplotracker. BioMed Research International. 2022(1). 5344418–5344418. 3 indexed citations
2.
Kim, Kyung‐Yong, et al.. (2020). Skin Pigmentation Differences between Mongolian, Korean, and Uzbekistan Ancient Human DNA Samples. BioMed Research International. 2020(1). 2585324–2585324.
3.
Kim, Kijeong, et al.. (2018). The immunotherapeutic effects of recombinant Bacillus Calmette-Guérin resistant to antimicrobial peptides on bladder cancer cells. Biochemical and Biophysical Research Communications. 509(1). 167–174. 16 indexed citations
4.
Lee, So-Young, Seung Hee Lee, Ji-Eun Kim, et al.. (2017). Identification of Novel A2/C2 Inter-Genotype Recombinants of Hepatitis B Virus from a Korean Chronic Patient Co-Infected with Both Genotype A2 and C2. International Journal of Molecular Sciences. 18(4). 737–737. 3 indexed citations
5.
Lee, Si Eun, Dashtseveg Tumen, Jae Hyun Kim, et al.. (2016). Molecular Genealogy of a Mongol Queen’s Family and Her Possible Kinship with Genghis Khan. PLoS ONE. 11(9). e0161622–e0161622. 10 indexed citations
6.
Kim, Kijeong, et al.. (2015). Extensive evaluation of DNA polymerase performance for highly degraded human DNA samples. Forensic Science International. 251. 171–178. 2 indexed citations
7.
Kim, Kijeong, Byoung-Jun Kim, Bo-Ram Kim, et al.. (2015). Separation of Mycobacterium abscessus into subspecies or genotype level by direct application of peptide nucleic acid multi-probe- real-time PCR method into sputa samples. BMC Infectious Diseases. 15(1). 325–325. 6 indexed citations
8.
Jang, Jaewoong, Wonyong Kim, Kijeong Kim, et al.. (2015). Lipoteichoic acid upregulates NF-κB and proinflammatory cytokines by modulating β-catenin in bronchial epithelial cells. Molecular Medicine Reports. 12(3). 4720–4726. 11 indexed citations
9.
Kim, Byoung-Jun, Kijeong Kim, Bo-Ram Kim, Yoon‐Hoh Kook, & Bum‐Joon Kim. (2015). Identification of ISMyo2, a novel insertion sequence element of IS21 family and its diagnostic potential for detection of Mycobacterium yongonense. BMC Genomics. 16(1). 794–794. 3 indexed citations
10.
Kim, Kyung Yong, Ae Ja Park, Won Bok Lee, et al.. (2012). A real-time PCR-based amelogenin Y allele dropout assessment model in gender typing of degraded DNA samples. International Journal of Legal Medicine. 127(1). 55–61. 16 indexed citations
11.
Le, Van Phan, Jong Bum Kim, In Sik Chung, et al.. (2010). Molecular characterization of rare G12P[6] rotavirus isolates closely related to G12 strains from the United States, CAU 195 and CAU 214. Archives of Virology. 156(3). 511–516. 8 indexed citations
12.
Yoo, Won Gi, Tae Im Kim, Shunyu Li, et al.. (2008). Reference genes for quantitative analysis on Clonorchis sinensis gene expression by real-time PCR. Parasitology Research. 104(2). 321–328. 60 indexed citations
13.
Kang, Sung Hoon, et al.. (2008). Usefulness of Bacteriological Tests and sspE PCR for Identification of Bacillus cereus Group. Journal of Bacteriology and Virology. 38(2). 61–61. 1 indexed citations
14.
Le, Van Phan, Inseok Lim, Kijeong Kim, et al.. (2007). Detection of unusual rotavirus genotypes G8P[8] and G12P[6] in South Korea. Journal of Medical Virology. 80(1). 175–182. 48 indexed citations
15.
Kim, Kijeong, Sanghyeob Lee, Young Jin Kim, et al.. (2007). Functional study of Capsicum annuum fatty acid desaturase 1 cDNA clone induced by Tobacco mosaic virus via microarray and virus-induced gene silencing. Biochemical and Biophysical Research Communications. 362(3). 554–561. 15 indexed citations
16.
Kim, Kijeong, et al.. (2006). Genetic Variation in the NSP4 Gene of Human Rotavirus Isolated in Seoul. Journal of Bacteriology and Virology. 36(2). 79–79. 6 indexed citations
17.
18.
Namkoong, Kee, Donghwa Kim, Kijeong Kim, et al.. (2004). Hydrogen peroxide-induced alterations of tight junction proteins in bovine brain microvascular endothelial cells. Microvascular Research. 68(3). 231–238. 142 indexed citations
19.
20.
Kim, Kijeong, et al.. (1997). Seropositive Rate to Yersinia enterocolitica-pseudotuberculosis complex among Patients with Acute Gastroenteritis in Children, 1994-1997. 32(6). 701–715. 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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