Bong‐Jo Kim

3.2k total citations
19 papers, 607 citations indexed

About

Bong‐Jo Kim is a scholar working on Molecular Biology, Genetics and Complementary and alternative medicine. According to data from OpenAlex, Bong‐Jo Kim has authored 19 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Complementary and alternative medicine. Recurrent topics in Bong‐Jo Kim's work include Epigenetics and DNA Methylation (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Cancer-related gene regulation (3 papers). Bong‐Jo Kim is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Cancer-related gene regulation (3 papers). Bong‐Jo Kim collaborates with scholars based in South Korea, United States and Australia. Bong‐Jo Kim's co-authors include Seung‐Wook Ryu, Byoung‐Joon Song, Bok‐Ghee Han, Suman Lee, Sang‐Jae Kim, Yoon-Kyung Lee, Sanghyun Lee, Deokbae Park, In-Uk Koh and Jeong‐Min Kim and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Bong‐Jo Kim

17 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bong‐Jo Kim South Korea 11 398 96 72 63 60 19 607
Ahmed Lawan United States 12 365 0.9× 127 1.3× 85 1.2× 79 1.3× 32 0.5× 24 563
Jipeng Ma China 16 327 0.8× 133 1.4× 84 1.2× 51 0.8× 69 1.1× 29 689
Yucui Zhu United States 11 344 0.9× 86 0.9× 121 1.7× 97 1.5× 50 0.8× 12 691
Honggang Wang China 20 541 1.4× 206 2.1× 80 1.1× 76 1.2× 71 1.2× 57 958
Hongjiao Xiang China 13 285 0.7× 110 1.1× 45 0.6× 37 0.6× 35 0.6× 21 537
Wang‐Xiang Xu China 12 475 1.2× 122 1.3× 46 0.6× 64 1.0× 36 0.6× 23 755
Sang‐Muk Oh South Korea 17 388 1.0× 54 0.6× 57 0.8× 33 0.5× 44 0.7× 28 658
Aiying Li China 15 322 0.8× 53 0.6× 88 1.2× 46 0.7× 40 0.7× 55 711

Countries citing papers authored by Bong‐Jo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Bong‐Jo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bong‐Jo Kim

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

All Works

19 of 19 papers shown
1.
Siddiquee, Ali Tanweer, Soriul Kim, Seung Ku Lee, et al.. (2025). Obstructive Sleep Apnea and Cerebral Microbleeds in Middle-Aged and Older Adults. JAMA Network Open. 8(10). e2539874–e2539874.
2.
Shivakumar, Manu, Sang‐Hyuk Jung, Hong‐Hee Won, et al.. (2025). Addressing overfitting bias due to sample overlap in polygenic risk scoring. Alzheimer s & Dementia. 21(4). e70109–e70109. 1 indexed citations
3.
Kim, Bong‐Jo, Sang Mi Park, Chang‐Hyun Song, et al.. (2024). Protective Effects of Red Ginseng Against Tacrine-Induced Hepatotoxicity: An Integrated Approach with Network Pharmacology and Experimental Validation. Drug Design Development and Therapy. Volume 18. 549–566. 4 indexed citations
4.
Kim, Ye An, Young Lee, Young Jin Kim, et al.. (2024). Epigenetic link between Agent Orange exposure and type 2 diabetes in Korean veterans. Frontiers in Endocrinology. 15. 1375459–1375459.
5.
Park, Tae Joo, et al.. (2020). Identification of metabolic markers predictive of prediabetes in a Korean population. Scientific Reports. 10(1). 22009–22009. 11 indexed citations
6.
Moon, Sanghoon, Mi Jin Park, In-Uk Koh, et al.. (2020). Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases. International Journal of Molecular Sciences. 21(14). 5056–5056. 10 indexed citations
7.
Koh, In-Uk, Hyo Jin Kim, Song Lee, et al.. (2020). Obesity susceptible novel DNA methylation marker on regulatory region of inflammation gene: results from the Korea Epigenome Study (KES). BMJ Open Diabetes Research & Care. 8(1). e001338–e001338. 14 indexed citations
8.
Ham, Seokjin, Jae‐Bum Bae, Suman Lee, et al.. (2019). Epigenetic analysis in rheumatoid arthritis synoviocytes. Experimental & Molecular Medicine. 51(2). 1–13. 31 indexed citations
9.
Kim, Yeon Jung, et al.. (2019). Metabolomics profiles associated with HbA1c levels in patients with type 2 diabetes. PLoS ONE. 14(11). e0224274–e0224274. 15 indexed citations
10.
Lee, Eun‐Seo, Sanghoon Moon, Dad Abu-Bonsrah, et al.. (2019). Programmable Nuclease-Based Integration into Novel Extragenic Genomic Safe Harbor Identified from Korean Population-Based CNV Analysis. Molecular Therapy — Oncolytics. 14. 253–265. 1 indexed citations
11.
Park, Tae Joo, et al.. (2019). Identification of novel non-synonymous variants associated with type 2 diabetes-related metabolites in Korean population. Bioscience Reports. 39(10). 4 indexed citations
12.
Hwang, Jooyeon, Hyo‐Jung Lee, Min Jin Go, et al.. (2018). Genome-wide methylation analysis identifies ELOVL5 as an epigenetic biomarker for the risk of type 2 diabetes mellitus. Scientific Reports. 8(1). 14862–14862. 14 indexed citations
13.
Park, Tae Joo, et al.. (2018). Metabolic Markers Predictive of Prediabetes in the Korean Population. Diabetes. 67(Supplement_1). 1 indexed citations
14.
Jeon, Jae‐Pil, et al.. (2017). Differential DNA methylation of MSI2 and its correlation with diabetic traits. PLoS ONE. 12(5). e0177406–e0177406. 19 indexed citations
15.
Xu, Tao, Young Lee, Nam‐Hee Kim, et al.. (2016). Identification of putative biomarkers for type 2 diabetes using metabolomics in the Korea Association REsource (KARE) cohort. Metabolomics. 12(12). 26 indexed citations
16.
Han, Miaomiao, et al.. (2015). Application of whole‐exome sequencing for detecting copy number variants in CMT1A/HNPP. Clinical Genetics. 90(2). 177–181. 10 indexed citations
17.
Kim, Bong‐Jo, et al.. (2009). Effects of  Asparagus officinalis  Extracts on Liver Cell Toxicity and Ethanol Metabolism. Journal of Food Science. 74(7). H204–8. 48 indexed citations
18.
Kim, Bong‐Jo, Seung‐Wook Ryu, & Byoung‐Joon Song. (2006). JNK- and p38 Kinase-mediated Phosphorylation of Bax Leads to Its Activation and Mitochondrial Translocation and to Apoptosis of Human Hepatoma HepG2 Cells. Journal of Biological Chemistry. 281(30). 21256–21265. 397 indexed citations
19.
Kim, Bong‐Jo, et al.. (2006). Fragment complementation for the co-refolding of Thermotoga maritima β-glucosidase by gene splitting at non-homologous region. Enzyme and Microbial Technology. 40(4). 732–739. 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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