Bong-Jo Kim

5.2k total citations
57 papers, 939 citations indexed

About

Bong-Jo Kim is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Bong-Jo Kim has authored 57 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 23 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Bong-Jo Kim's work include Genetic Associations and Epidemiology (32 papers), Genomic variations and chromosomal abnormalities (12 papers) and Genomics and Rare Diseases (10 papers). Bong-Jo Kim is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), Genomic variations and chromosomal abnormalities (12 papers) and Genomics and Rare Diseases (10 papers). Bong-Jo Kim collaborates with scholars based in South Korea, United States and Japan. Bong-Jo Kim's co-authors include Young Jin Kim, Sanghoon Moon, Mi Yeong Hwang, Yun Kyoung Kim, Jeong‐Min Kim, Tae Joo Park, Sohee Han, Bok‐Ghee Han, Min Jin Go and Hye-Mi Jang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.

In The Last Decade

Bong-Jo Kim

55 papers receiving 927 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 17 396 384 169 119 98 57 939
Mathew Barber United Kingdom 6 510 1.3× 275 0.7× 121 0.7× 100 0.8× 182 1.9× 8 940
Lydia Coulter Kwee United States 17 244 0.6× 410 1.1× 161 1.0× 72 0.6× 74 0.8× 45 990
Tianyuan Lu Canada 15 336 0.8× 505 1.3× 114 0.7× 48 0.4× 55 0.6× 55 1.1k
Geetanjali Sharma United States 14 428 1.1× 284 0.7× 105 0.6× 243 2.0× 89 0.9× 26 832
Antonella Antonelli Italy 10 249 0.6× 561 1.5× 96 0.6× 204 1.7× 63 0.6× 12 1.6k
Rajkumar Dorajoo Singapore 15 387 1.0× 259 0.7× 112 0.7× 96 0.8× 88 0.9× 48 861
Caren Vollmert Germany 21 327 0.8× 485 1.3× 208 1.2× 64 0.5× 81 0.8× 33 1.3k
Tarja Kunnas Finland 22 312 0.8× 303 0.8× 171 1.0× 256 2.2× 132 1.3× 68 1.2k
Isabel Sousa Portugal 7 396 1.0× 540 1.4× 139 0.8× 47 0.4× 58 0.6× 8 1.0k
Yoon Shin Cho South Korea 23 601 1.5× 784 2.0× 128 0.8× 217 1.8× 187 1.9× 62 1.7k

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

20 of 20 papers shown
1.
Jang, Hye-Mi, et al.. (2025). SLC30A8 Rare Variant Modify Contribution of Common Genetic and Lifestyle Factors toward Type 2 Diabetes Mellitus. Diabetes & Metabolism Journal. 50(2). 385–395. 1 indexed citations
2.
Kim, Beomsu, Mi Yeong Hwang, Injeong Shim, et al.. (2024). Large-scale cross-ancestry genome-wide meta-analysis of serum urate. Nature Communications. 15(1). 3441–3441. 17 indexed citations
3.
Kim, Soyeon, Kiwon Kim, Mi Yeong Hwang, et al.. (2022). Shared genetic architectures of subjective well-being in East Asian and European ancestry populations. Nature Human Behaviour. 6(7). 1014–1026. 7 indexed citations
4.
Hwang, Mi Yeong, et al.. (2022). Analyzing the Korean reference genome with meta-imputation increased the imputation accuracy and spectrum of rare variants in the Korean population. Frontiers in Genetics. 13. 1008646–1008646. 7 indexed citations
5.
Shin, Dong Mun, Mi Yeong Hwang, Bong-Jo Kim, Keun Ho Ryu, & Young Jin Kim. (2020). GEN2VCF: a converter for human genome imputation output format to VCF format. Genes & Genomics. 42(10). 1163–1168. 7 indexed citations
6.
7.
Liu, Meiling, Sanghoon Moon, Yeon Jung Kim, et al.. (2017). On the association analysis of CNV data: a fast and robust family-based association method. BMC Bioinformatics. 18(1). 217–217. 1 indexed citations
8.
Go, Min Jin, Young Lee, Suyeon Park, et al.. (2016). Genetic-risk assessment of GWAS-derived susceptibility loci for type 2 diabetes in a 10 year follow-up of a population-based cohort study. Journal of Human Genetics. 61(12). 1009–1012. 23 indexed citations
9.
Lee, Sungyoung, Sungkyoung Choi, Young Jin Kim, et al.. (2016). Pathway-based approach using hierarchical components of collapsed rare variants. Bioinformatics. 32(17). i586–i594. 33 indexed citations
10.
Kim, Yun Kyoung, Mi Yeong Hwang, Young Jin Kim, et al.. (2016). Evaluation of pleiotropic effects among common genetic loci identified for cardio-metabolic traits in a Korean population. Cardiovascular Diabetology. 15(1). 20–20. 16 indexed citations
11.
Hwang, Jooyeon, Hyo‐Jung Lee, Min Jin Go, et al.. (2016). An integrative study identifies KCNC2 as a novel predisposing factor for childhood obesity and the risk of diabetes in the Korean population. Scientific Reports. 6(1). 33043–33043. 15 indexed citations
12.
Lee, Jaehoon, Young Jin Kim, Juyoung Lee, et al.. (2016). Gene-set association tests for next-generation sequencing data. Bioinformatics. 32(17). i611–i619. 6 indexed citations
13.
Kim, Young Jin, Juyoung Lee, Bong-Jo Kim, & Taesung Park. (2015). A new strategy for enhancing imputation quality of rare variants from next-generation sequencing data via combining SNP and exome chip data. BMC Genomics. 16(1). 1109–1109. 10 indexed citations
14.
Yim, Seon‐Hee, Seung‐Hyun Jung, Sung‐Won Park, et al.. (2015). Association of common variants in the calcium-sensing receptor gene with serum calcium levels in East Asians. Journal of Human Genetics. 60(8). 407–412. 10 indexed citations
15.
Hwang, Jooyeon, Young Jin Kim, Bo Youl Choi, Bong-Jo Kim, & Bok‐Ghee Han. (2015). Meta analysis identifies a novel susceptibility locus associated with heel bone strength in the Korean population. Bone. 84. 47–51. 7 indexed citations
16.
Moon, Sanghoon, Mi Yeong Hwang, Young‐Jin Kim, et al.. (2014). Genome-wide copy number variation study reveals KCNIP1 as a modulator of insulin secretion. Genomics. 104(2). 113–120. 11 indexed citations
17.
Hwang, Mi Yeong, Sanghoon Moon, Young Jin Kim, et al.. (2014). Combinatorial approach to estimate copy number genotype using whole-exome sequencing data. Genomics. 105(3). 145–149. 6 indexed citations
18.
Hwang, Jooyeon, Duk-Hwan Kim, Yongick Ji, et al.. (2013). Recapitulation of previous genome-wide association studies with two distinct pathophysiological entities of gastric cancer in the Korean population. Journal of Human Genetics. 58(4). 233–235. 15 indexed citations
19.
Bae, Joon Seol, Charisse Flerida A. Pasaje, Byung‐Lae Park, et al.. (2012). Genetic association analysis of ERBB4 polymorphisms with the risk of schizophrenia and SPEM abnormality in a Korean population. Brain Research. 1466. 146–151. 15 indexed citations
20.
Kim, Yun Kyoung, Sanghoon Moon, Mi Yeong Hwang, et al.. (2012). Gene-based copy number variation study reveals a microdeletion at 12q24 that influences height in the Korean population. Genomics. 101(2). 134–138. 16 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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