Donghyun Shin

1.8k total citations
79 papers, 844 citations indexed

About

Donghyun Shin is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Donghyun Shin has authored 79 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 31 papers in Molecular Biology and 16 papers in Animal Science and Zoology. Recurrent topics in Donghyun Shin's work include Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Cancer-related molecular mechanisms research (11 papers). Donghyun Shin is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Cancer-related molecular mechanisms research (11 papers). Donghyun Shin collaborates with scholars based in South Korea, India and Australia. Donghyun Shin's co-authors include Hak‐Kyo Lee, Heebal Kim, Vijayakumar Gosu, Ki‐Duk Song, Jae-Don Oh, Jong‐Eun Park, Jaeyoung Choi, Jae-Young Heo, Younghoon Kim and Paul Bogere and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecules.

In The Last Decade

Donghyun Shin

72 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghyun Shin South Korea 16 349 315 165 135 128 79 844
Ali Javadmanesh Iran 17 430 1.2× 177 0.6× 237 1.4× 85 0.6× 201 1.6× 79 941
Ranran Liu China 21 391 1.1× 385 1.2× 348 2.1× 120 0.9× 70 0.5× 48 1.0k
Shenglong Wu China 19 567 1.6× 220 0.7× 263 1.6× 178 1.3× 121 0.9× 124 1.1k
Yanyan Sun China 18 285 0.8× 322 1.0× 366 2.2× 175 1.3× 47 0.4× 98 995
Jianping Quan China 14 284 0.8× 323 1.0× 190 1.2× 152 1.1× 67 0.5× 25 650
Arash Javanmard Iran 13 163 0.5× 315 1.0× 180 1.1× 64 0.5× 105 0.8× 72 689
Yongqing Zeng China 15 259 0.7× 159 0.5× 142 0.9× 164 1.2× 54 0.4× 66 646
Lizhi Wang China 15 374 1.1× 108 0.3× 207 1.3× 79 0.6× 53 0.4× 46 837
Jilan Chen China 22 380 1.1× 496 1.6× 556 3.4× 200 1.5× 70 0.5× 105 1.4k
Andrzej Dybus Poland 17 184 0.5× 450 1.4× 270 1.6× 93 0.7× 117 0.9× 72 909

Countries citing papers authored by Donghyun Shin

Since Specialization
Citations

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

Fields of papers citing papers by Donghyun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyun Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Donghyun Shin. A scholar is included among the top collaborators of Donghyun Shin 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 Donghyun Shin. Donghyun Shin 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.
Lee, Seung-Hoon, Kyu‐Sang Lim, Hak‐Kyo Lee, et al.. (2025). The vision of big data recirculation for smart livestock farming in South Korea. Journal of Animal Science and Technology. 67(2). 303–313.
3.
Hossain, MM, Sanghoon Lee, Jon Ahn, et al.. (2025). The comparative physiological, biochemical and whole transcriptome analysis of Ross 308 broilers under different wind conditions. Poultry Science. 104(9). 105401–105401.
4.
Kim, Min Seong, Dong Hun Lee, Heesang Song, et al.. (2024). ETV2/ER71 regulates hematovascular lineage generation and vascularization through an H3K9 demethylase, KDM4A. iScience. 28(1). 111538–111538.
5.
Lee, Hak‐Kyo, et al.. (2024). Structure-based virtual screening and molecular dynamics studies to explore potential natural inhibitors against 3C protease of foot-and-mouth disease virus. Frontiers in Veterinary Science. 10. 1340126–1340126. 7 indexed citations
6.
Lee, Hong‐Gu, et al.. (2024). Inflammatory response in dairy cows caused by heat stress and biological mechanisms for maintaining homeostasis. PLoS ONE. 19(3). e0300719–e0300719. 7 indexed citations
8.
Lee, Hak‐Kyo, et al.. (2023). Impact of nsSNPs in human AIM2 and IFI16 gene: a comprehensive in silico analysis. Journal of Biomolecular Structure and Dynamics. 42(5). 2603–2615. 11 indexed citations
9.
Jena, Mrutyunjay, et al.. (2023). In Vitro and in silico studies to explore potent antidiabetic inhibitor against human pancreatic alpha-amylase from the methanolic extract of the green microalga Chlorella vulgaris. Journal of Biomolecular Structure and Dynamics. 42(15). 8089–8099. 11 indexed citations
10.
Kim, Hye Ran, Pil‐Nam Seong, Devender Arora, et al.. (2021). Transcriptomic Response under Heat Stress in Chickens Revealed the Regulation of Genes and Alteration of Metabolism to Maintain Homeostasis. Animals. 11(8). 2241–2241. 20 indexed citations
11.
Sasidharan, Santanu, et al.. (2021). Therapeutic p28 peptide targets essential H1N1 influenza virus proteins: insights from docking and molecular dynamics simulations. Molecular Diversity. 25(3). 1929–1943. 3 indexed citations
12.
Oh, Jae-Don, et al.. (2021). Antitumorigenic effect of insect-derived peptide poecilocorisin-1 in human skin cancer cells through regulation of Sp1 transcription factor. Scientific Reports. 11(1). 18445–18445. 11 indexed citations
13.
Lopez, Bryan Irvine, Nasir Moghaddar, Woncheoul Park, et al.. (2020). Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle. Genetics Selection Evolution. 52(1). 54–54. 32 indexed citations
14.
Ryu, Sangdon, Donghyun Shin, Jae-Young Heo, et al.. (2020). Complete chromosome and plasmid sequences of Staphylococcus aureus strain JDFM SA01, isolated from a milk filter in Korean dairy farm. Journal of Animal Science and Technology. 62(3). 423–426. 2 indexed citations
15.
Shin, Donghyun, Paul Bogere, Jaeyoung Choi, et al.. (2019). Beneficial roles of probiotics on the modulation of gut microbiota and immune response in pigs. PLoS ONE. 14(8). e0220843–e0220843. 123 indexed citations
16.
Shin, Donghyun, et al.. (2018). In silico approaches to identify the functional and structural effects of non-synonymous SNPs in selective sweeps of the Berkshire pig genome. Asian-Australasian Journal of Animal Sciences. 31(8). 1150–1159. 2 indexed citations
17.
Kim, Jaemin, Donghyun Shin, Seoae Cho, et al.. (2017). Complete mitochondrial genome sequences of Korean native horse from Jeju Island: uncovering the spatio-temporal dynamics. Molecular Biology Reports. 44(2). 233–242. 6 indexed citations
18.
Choi, Jaeyoung, Hyun‐Jun Jang, Jeong-Woong Park, et al.. (2017). Characterization of gene expression and genetic variation of horse ERBB receptor feedback inhibitor 1 in Thoroughbreds. Asian-Australasian Journal of Animal Sciences. 31(3). 309–315. 1 indexed citations
19.
Shin, Donghyun, Jin Woo Lee, Jong‐Eun Park, et al.. (2015). Multiple Genes Related to Muscle Identified through a Joint Analysis of a Two-stage Genome-wide Association Study for Racing Performance of 1,156 Thoroughbreds. Asian-Australasian Journal of Animal Sciences. 28(6). 771–781. 13 indexed citations
20.
Sohn, Jae-Keun, et al.. (1998). Analysis of Genetic Diversity in Echinochloa Species Using Random Amplified Polymorphic DNAs(RAPDs) Markers. Korean Journal of Weed Science. 18(1). 76–83. 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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