Tae-Hun Kim

3.3k total citations
109 papers, 1.3k citations indexed

About

Tae-Hun Kim is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Tae-Hun Kim has authored 109 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 39 papers in Genetics and 14 papers in Animal Science and Zoology. Recurrent topics in Tae-Hun Kim's work include Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Tae-Hun Kim is often cited by papers focused on Genetic and phenotypic traits in livestock (24 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Tae-Hun Kim collaborates with scholars based in South Korea, United States and Canada. Tae-Hun Kim's co-authors include Deok‐Kun Oh, Kyung‐Tai Lee, Kyung‐Chul Shin, Ae Nim Pae, Dajeong Lim, Sisi Wang, Jian Wu, Yong Li, Senthil Kumar Venugopal and Joy X. Jiang and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Tae-Hun Kim

99 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae-Hun Kim South Korea 21 595 442 251 132 122 109 1.3k
Yani Zhang China 22 1.1k 1.9× 439 1.0× 232 0.9× 114 0.9× 45 0.4× 169 1.9k
Ming Cheng China 20 1.5k 2.5× 200 0.5× 270 1.1× 78 0.6× 101 0.8× 96 2.3k
Hao Jiang China 23 755 1.3× 210 0.5× 570 2.3× 76 0.6× 60 0.5× 113 1.5k
Haifei Wang China 21 574 1.0× 509 1.2× 237 0.9× 60 0.5× 114 0.9× 84 1.3k
Xue Zhang China 23 820 1.4× 228 0.5× 375 1.5× 83 0.6× 67 0.5× 115 1.8k
Yun-Jaie Choi South Korea 21 674 1.1× 156 0.4× 153 0.6× 64 0.5× 125 1.0× 44 1.5k
Karen De Smet Belgium 17 529 0.9× 139 0.3× 56 0.2× 69 0.5× 267 2.2× 41 1.6k
Ying Deng China 22 752 1.3× 114 0.3× 195 0.8× 126 1.0× 16 0.1× 83 1.8k

Countries citing papers authored by Tae-Hun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Hun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae-Hun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Hun Kim. A scholar is included among the top collaborators of Tae-Hun 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 Tae-Hun Kim. Tae-Hun 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, Tae-Hun, et al.. (2025). A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy. Scientific Data. 12(1). 177–177. 1 indexed citations
3.
Kim, Tae-Hun, et al.. (2024). Helmet wearing and related factors among electric personal mobility device users in Korea. Health Promotion International. 39(4).
4.
Kim, Tae-Hun, et al.. (2023). Distinctive Combinations of RBD Mutations Contribute to Antibody Evasion in the Case of the SARS-CoV-2 Beta Variant. Journal of Microbiology and Biotechnology. 33(12). 1587–1295. 5 indexed citations
5.
Park, Hyewon & Tae-Hun Kim. (2022). The Association between Sodium Intake and Refractive Error in Korea Children and Adolescents: The Korea National Health and Nutrition Examination Survey. The Korean Journal of Vision Science. 24(3). 307–317. 2 indexed citations
6.
Arora, Devender, Jong‐Eun Park, Dajeong Lim, et al.. (2022). Multi-omics approaches for comprehensive analysis and understanding of the immune response in the miniature pig breed. PLoS ONE. 17(5). e0263035–e0263035. 4 indexed citations
7.
8.
Madhulatha, A., et al.. (2020). Evaluation of cloud hydrometers from Korean Integrated Model (KIM) using multi reanalysis products and satellite observations. AGU Fall Meeting Abstracts. 2019. 3 indexed citations
9.
Kim, Tae-Hun, et al.. (2019). Enzymatic Biotransformation of Balloon Flower Root Saponins into Bioactive Platycodin D by Deglucosylation with Caldicellulosiruptor bescii β-Glucosidase. International Journal of Molecular Sciences. 20(16). 3854–3854. 20 indexed citations
10.
Kim, Jun‐Mo, Jong‐Eun Park, Inkyu Yoo, et al.. (2018). Integrated transcriptomes throughout swine oestrous cycle reveal dynamic changes in reproductive tissues interacting networks. Scientific Reports. 8(1). 5436–5436. 33 indexed citations
11.
Shin, Kyung‐Chul, et al.. (2018). Complete Biotransformation of Protopanaxadiol-Type Ginsenosides to 20-O-β-Glucopyranosyl-20(S)-protopanaxadiol Using a Novel and Thermostable β-Glucosidase. Journal of Agricultural and Food Chemistry. 66(11). 2822–2829. 39 indexed citations
12.
Lee, Hyun Jeong, Jaemin Kim, Taeheon Lee, et al.. (2014). Deciphering the Genetic Blueprint behind Holstein Milk Proteins and Production. Genome Biology and Evolution. 6(6). 1366–1374. 31 indexed citations
13.
Ha, Hongseok, et al.. (2013). Identification and Promoter Analysis of PERV LTR Subtypes in NIH-Miniature Pig. Molecules and Cells. 35(2). 99–105. 10 indexed citations
14.
Choi, Jung-Woo, Xiaoping Liao, Won‐Hyong Chung, et al.. (2013). Massively Parallel Sequencing of Chikso (Korean Brindle Cattle) to Discover Genome-Wide SNPs and InDels. Molecules and Cells. 36(3). 203–211. 32 indexed citations
15.
Choi, Bong‐Hwan, et al.. (2013). Polymorphism analysis of tyrosine hydroxylase (TH) in military working dogs. Genes & Genomics. 35(6). 817–821. 5 indexed citations
16.
Lim, Dajeong, Seung Hwan Lee, Yong-Min Cho, et al.. (2011). Heat Shock Protein B1 and Its Regulator Genes Are Negatively Correlated with Intramuscular Fat Content in the Longissimus Thoracis Muscle of Hanwoo (Korean Cattle) Steers. Journal of Agricultural and Food Chemistry. 59(10). 5657–5664. 21 indexed citations
17.
Kim, Tae-Hun, Yeon-Hee Kim, Jun‐Hyuk Choi, et al.. (2010). Seroprevalence of Dogs with Dirofilaria immitis, Anaplasma phagocytophilum, Borrelia burgdorferi and Ehrlichia canis Infection in the Daejeon City and Kangwon Province. Journal of Veterinary Clinics. 27(6). 631–634. 1 indexed citations
18.
Lee, Seung Hwan, Hyeong–Cheol Kim, Dajeong Lim, et al.. (2010). Association of Microsatellite Marker in FABP4 Gene with Marbling Score and Live Weight in Hanwoo. Journal of Animal Science and Technology. 52(6). 475–480. 2 indexed citations
19.
Kim, Tae-Hun, et al.. (2006). Polymerization of Contact Lens Materials Using Silicone. Journal of Korean Ophthalmic Optics Society. 11(2). 143–149.
20.
Koo, Chang‐Duck, et al.. (1992). Sporocarp-forming Arbuscular Mycorrhizal Fungi, Glomus spp. in Forest Soils of Korea. The Korean Journal of Mycology. 20(1). 29–36. 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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