Changhoon Kim

2.9k total citations
20 papers, 491 citations indexed

About

Changhoon Kim is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Changhoon Kim has authored 20 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Changhoon Kim's work include Genomics and Phylogenetic Studies (5 papers), Genomics and Rare Diseases (4 papers) and Genetic Associations and Epidemiology (3 papers). Changhoon Kim is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Genomics and Rare Diseases (4 papers) and Genetic Associations and Epidemiology (3 papers). Changhoon Kim collaborates with scholars based in South Korea, United States and Japan. Changhoon Kim's co-authors include Byung Kook Lee, Peter R. Hoyt, Michael Dean, Michael L. Nickerson, Hwanseok Rhee, Scott J. Nicholson, Yan Song, Gary J. Puterka, Wei Zhang and Ghanta Anuradha and has published in prestigious journals such as Nature Genetics, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Changhoon Kim

18 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changhoon Kim South Korea 9 232 195 103 93 49 20 491
Christine Drevet France 12 241 1.0× 383 2.0× 32 0.3× 72 0.8× 28 0.6× 14 551
Min Yuan China 13 703 3.0× 510 2.6× 51 0.5× 58 0.6× 23 0.5× 33 891
Michael Habig Germany 14 277 1.2× 234 1.2× 95 0.9× 62 0.7× 8 0.2× 19 544
Steven H. Denison United States 11 222 1.0× 598 3.1× 12 0.1× 81 0.9× 128 2.6× 19 808
Sujata Mohanty India 11 65 0.3× 76 0.4× 100 1.0× 96 1.0× 4 0.1× 24 344
Daniel M. Santos Brazil 11 32 0.1× 237 1.2× 31 0.3× 183 2.0× 40 0.8× 16 404
Jiyeon Park South Korea 11 107 0.5× 227 1.2× 32 0.3× 114 1.2× 6 0.1× 32 412
Gregory R. Donovan Australia 13 93 0.4× 102 0.5× 168 1.6× 113 1.2× 19 0.4× 22 463
Tonya F. Severson United States 11 39 0.2× 193 1.0× 98 1.0× 130 1.4× 32 0.7× 12 423
Chaobao Zhang China 8 99 0.4× 401 2.1× 56 0.5× 65 0.7× 16 0.3× 22 528

Countries citing papers authored by Changhoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Changhoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Changhoon Kim. A scholar is included among the top collaborators of Changhoon 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 Changhoon Kim. Changhoon 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.
Higasa, Koichiro, Yoichiro Kamatani, Takahisa Kawaguchi, et al.. (2025). Whole-genome sequencing of 3135 individuals representing the genetic diversity of the Japanese population. Journal of Human Genetics. 71(4). 223–230.
2.
Lee, Seung‐been, Jong-Yeon Shin, Nak‐Jung Kwon, Changhoon Kim, & Jeong‐Sun Seo. (2022). ClinPharmSeq: A targeted sequencing panel for clinical pharmacogenetics implementation. PLoS ONE. 17(7). e0272129–e0272129. 31 indexed citations
3.
Kim, Myung‐Shin, Taeyoung Lee, Jeong-Hun Baek, et al.. (2021). Genome assembly of the popular Korean soybean cultivar Hwangkeum. G3 Genes Genomes Genetics. 11(10). 8 indexed citations
4.
Spangenberg, Lucía, María Inés Fariello, Gonzalo Greif, et al.. (2021). Indigenous Ancestry and Admixture in the Uruguayan Population. Frontiers in Genetics. 12. 733195–733195. 6 indexed citations
5.
Kim, Sungjae, Jong-Yeon Shin, Nak‐Jung Kwon, et al.. (2021). Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson’s disease. Human Genomics. 15(1). 58–58. 3 indexed citations
6.
Raggio, Víctor, Gonzalo Costa, Gonzalo Greif, et al.. (2021). Whole genome sequencing reveals a frameshift mutation and a large deletion in YY1AP1 in a girl with a panvascular artery disease. Human Genomics. 15(1). 28–28. 5 indexed citations
7.
Anderson-Trocmé, Luke, Rick Farouni, Mathieu Bourgey, et al.. (2019). Legacy Data Confound Genomics Studies. Molecular Biology and Evolution. 37(1). 2–10. 17 indexed citations
8.
Choi, Junyoung, Shinkyo Yoon, Deokhoon Kim, et al.. (2019). Transglutaminase 2 induces intrinsic EGFR-TKI resistance in NSCLC harboring EGFR sensitive mutations.. PubMed. 9(8). 1708–1721. 5 indexed citations
9.
Choi, Junyoung, Shinkyo Yoon, Deokhoon Kim, et al.. (2019). Transglutaminase 2 Induces Intrinsic EGFR-TKI Resistance in NSCLC Harboring EGFR Sensitive Mutations. SSRN Electronic Journal. 3 indexed citations
10.
Yoo, Seong‐Keun, Hie Lim Kim, Sungjae Kim, et al.. (2019). NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants. Genome Medicine. 11(1). 64–64. 27 indexed citations
11.
Choo, Min‐Kyung, Yasuyo Sano, Changhoon Kim, et al.. (2017). TLR sensing of bacterial spore-associated RNA triggers host immune responses with detrimental effects. The Journal of Experimental Medicine. 214(5). 1297–1311. 17 indexed citations
12.
Xia, Enhua, Da‐Rong Yang, Jianjun Jiang, et al.. (2017). The caterpillar fungus, Ophiocordyceps sinensis, genome provides insights into highland adaptation of fungal pathogenicity. Scientific Reports. 7(1). 1806–1806. 60 indexed citations
13.
Varshney, Rajeev K., Rachit K. Saxena, Hari D. Upadhyaya, et al.. (2017). Whole-genome resequencing of 292 pigeonpea accessions identifies genomic regions associated with domestication and agronomic traits. Nature Genetics. 49(7). 1082–1088. 149 indexed citations
14.
Kim, Jong‐Shik, et al.. (2015). Complete Genome Sequence of Halophilic Yeast Meyerozyma caribbica MG20W Isolated from Rhizosphere Soil. Genome Announcements. 3(2). 7 indexed citations
15.
Nicholson, Scott J., Michael L. Nickerson, Michael Dean, et al.. (2015). The genome of Diuraphis noxia, a global aphid pest of small grains. BMC Genomics. 16(1). 429–429. 93 indexed citations
16.
Kim, Jeong-Gu, Ha-Seung Park, Soo-Jin Kwon, et al.. (2013). Genome Sequence Analysis of Chrysanthemum White Rust pathogen Puccinia horiana and Sterol 14-demethylase as Drug Target. The Korean Journal of Pesticide Science. 17(4). 468–472. 1 indexed citations
17.
Choi, Dong Han, et al.. (2013). Draft genome sequence of Rubidibacter lacunae strain KORDI 51-2T, a cyanobacterium isolated from seawater of Chuuk lagoon. Standards in Genomic Sciences. 9(1). 197–204. 2 indexed citations
18.
Tai, Chin‐Hsien, James J. Vincent, Changhoon Kim, & Byung Kook Lee. (2009). SE: an algorithm for deriving sequence alignment from a pair of superimposed structures. BMC Bioinformatics. 10(S1). S4–S4. 8 indexed citations
19.
Kim, Changhoon, Chin‐Hsien Tai, & Byung Kook Lee. (2009). Iterative refinement of structure-based sequence alignments by Seed Extension. BMC Bioinformatics. 10(1). 210–210. 12 indexed citations
20.
Kim, Changhoon & Byung Kook Lee. (2007). Accuracy of structure-based sequence alignment of automatic methods. BMC Bioinformatics. 8(1). 355–355. 37 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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