Jaebum Kim

5.8k total citations
76 papers, 1.1k citations indexed

About

Jaebum Kim is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jaebum Kim has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 25 papers in Genetics and 19 papers in Plant Science. Recurrent topics in Jaebum Kim's work include Genomics and Phylogenetic Studies (33 papers), Chromosomal and Genetic Variations (17 papers) and Genetic and phenotypic traits in livestock (7 papers). Jaebum Kim is often cited by papers focused on Genomics and Phylogenetic Studies (33 papers), Chromosomal and Genetic Variations (17 papers) and Genetic and phenotypic traits in livestock (7 papers). Jaebum Kim collaborates with scholars based in South Korea, United States and United Kingdom. Jaebum Kim's co-authors include Saurabh Sinha, Jian Ma, Denis M. Larkin, Marta Farré, Harris A. Lewin, Xin He, Chongmu Lee, Ki‐Young Oh, Boris Capitanu and Gyu Seok Cho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Jaebum Kim

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaebum Kim South Korea	20	582	381	296	120	95	76	1.1k
Munehiro Asally United Kingdom	19	1.4k 2.5×	306 0.8×	330 1.1×	73 0.6×	231 2.4×	33	2.3k
Vijender Singh India	24	1.3k 2.3×	181 0.5×	292 1.0×	113 0.9×	53 0.6×	68	2.2k
Jintao Liu China	19	904 1.6×	255 0.7×	337 1.1×	91 0.8×	237 2.5×	43	1.9k
Kenji Fukunaga Japan	21	287 0.5×	236 0.6×	542 1.8×	53 0.4×	74 0.8×	77	1.4k
Aswathy Sebastian United States	20	779 1.3×	206 0.5×	185 0.6×	15 0.1×	133 1.4×	53	1.5k
Dmitry Ershov France	17	461 0.8×	118 0.3×	66 0.2×	70 0.6×	64 0.7×	24	1.3k
Huiping Yang United States	22	181 0.3×	389 1.0×	91 0.3×	57 0.5×	127 1.3×	101	1.6k
Arthur Prindle United States	18	1.6k 2.8×	498 1.3×	363 1.2×	82 0.7×	363 3.8×	24	2.8k
Xiaojiao Guo China	21	388 0.7×	299 0.8×	128 0.4×	397 3.3×	129 1.4×	71	1.8k

Countries citing papers authored by Jaebum Kim

Since Specialization

Citations

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

Fields of papers citing papers by Jaebum Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaebum Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jaebum Kim. A scholar is included among the top collaborators of Jaebum 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 Jaebum Kim. Jaebum 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

Park, Nayoung, Woncheoul Park, Han‐Ha Chai, et al.. (2024). Identification and characterization of structural variants related to meat quality in pigs using chromosome-level genome assemblies. BMC Genomics. 25(1). 299–299. 3 indexed citations

Park, Woncheoul, et al.. (2024). A chromosome-level genome assembly of the Korean minipig (Sus scrofa). Scientific Data. 11(1). 840–840. 1 indexed citations

Park, Nayoung, et al.. (2024). PAPipe: A Pipeline for Comprehensive Population Genetic Analysis. Molecular Biology and Evolution. 41(3). 2 indexed citations

Park, Nayoung, Han‐Ha Chai, In‐Cheol Cho, et al.. (2023). A chromosome-level genome assembly of the Korean crossbred pig Nanchukmacdon (Sus scrofa). Scientific Data. 10(1). 761–761. 3 indexed citations

Park, Nayoung, et al.. (2022). Generation and application of pseudo–long reads for metagenome assembly. GigaScience. 11. 5 indexed citations

Park, Nayoung, et al.. (2022). Reference-based read clustering improves the de novo genome assembly of microbial strains. Computational and Structural Biotechnology Journal. 21. 444–451. 1 indexed citations

Arora, Devender, Krishnamoorthy Srikanth, Nayoung Park, et al.. (2021). Integration of multi-omics approaches for functional characterization of muscle related selective sweep genes in Nanchukmacdon. Scientific Reports. 11(1). 7219–7219. 14 indexed citations

Lim, Dajeong, et al.. (2020). Population analysis of the Korean native duck using whole-genome sequencing data. BMC Genomics. 21(1). 554–554. 8 indexed citations

Kim, Jaebum, et al.. (2020). TAMA: improved metagenomic sequence classification through meta-analysis. BMC Bioinformatics. 21(1). 185–185. 3 indexed citations

10.

Song, Giltae, Seokwoo Kang, Ho-Yong Lee, et al.. (2019). Integrative Meta-Assembly Pipeline (IMAP): Chromosome-level genome assembler combining multiple de novo assemblies. PLoS ONE. 14(8). e0221858–e0221858. 6 indexed citations

11.

Farré, Marta, Jaebum Kim, Yang Zhang, et al.. (2019). Evolution of gene regulation in ruminants differs between evolutionary breakpoint regions and homologous synteny blocks. Genome Research. 29(4). 576–589. 36 indexed citations

12.

Rhee, Jae‐Sung, Beom‐Soon Choi, Jaebum Kim, et al.. (2017). Diversity, distribution, and significance of transposable elements in the genome of the only selfing hermaphroditic vertebrate Kryptolebias marmoratus. Scientific Reports. 7(1). 40121–40121. 26 indexed citations

13.

Lim, Dajeong, et al.. (2017). Functional and evolutionary analysis of Korean bob-tailed native dog using whole-genome sequencing data. Scientific Reports. 7(1). 17303–17303. 4 indexed citations

14.

Cho, Gyu Seok, et al.. (2016). Synteny Portal: a web-based application portal for synteny block analysis. Nucleic Acids Research. 44(W1). W35–W40. 33 indexed citations

15.

Ko, Younhee, Gyu Seok Cho, Jin‐Sung Lee, & Jaebum Kim. (2016). Identification of disease comorbidity through hidden molecular mechanisms. Scientific Reports. 6(1). 39433–39433. 36 indexed citations

16.

Kim, Ji Yeon, Elizabeth Kern, Tae Ho Kim, et al.. (2016). Phylogenetic analysis of two Plectus mitochondrial genomes (Nematoda: Plectida) supports a sister group relationship between Plectida and Rhabditida within Chromadorea. Molecular Phylogenetics and Evolution. 107. 90–102. 27 indexed citations

17.

Kim, Jaebum, et al.. (2015). Metagenome assembly through clustering of next-generation sequencing data using protein sequences. Journal of Microbiological Methods. 109. 180–187. 1 indexed citations

18.

Rajesh, Thangamani, Jong-Min Jeon, Yong‐Hyun Kim, et al.. (2013). Functional analysis of the gene SCO1782 encoding Streptomyces hemolysin (S-hemolysin) in Streptomyces coelicolor M145. Toxicon. 71. 159–165. 5 indexed citations

19.

Kim, Jaebum & Jian Ma. (2011). PSAR: measuring multiple sequence alignment reliability by probabilistic sampling. Nucleic Acids Research. 39(15). 6359–6368. 26 indexed citations

20.

Kim, Jaebum, Xin He, & Saurabh Sinha. (2009). Evolution of Regulatory Sequences in 12 Drosophila Species. PLoS Genetics. 5(1). e1000330–e1000330. 60 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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