Donghyun Shin

1.8k citations
79 papers · 844 indexed · h-index 16
  • Equine top 5%
    • Meat and Animal Product Quality 9
    • Animal Nutrition and Physiology 6
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock 30
    • Genetic Mapping and Diversity in Plants and Animals 23
    • Cancer-related molecular mechanisms research 11
  • Food Science top 10%
    • Probiotics and Fermented Foods 8
    • Gut microbiota and health 8
    • RNA and protein synthesis mechanisms 5

Donghyun Shin

72 papers receiving 830 citations

Peers

Donghyun Shin
Comparison fields: 5 of 99
  • Equine 34
  • Animal Science and Zoology 165
  • Genetics 315
  • Cancer Research 135
  • Food Science 128
Replace Anuradha Bhardwaj with:
Anuradha Bhardwaj India
Cataldo Dario Italy
Sara Pegolo Italy
Andrea Criscione Italy
Hua Yan China
Salvatore Bordonaro Italy
T. Wing United States
D.E. Graugnard United States
Eric J. Schoevers Netherlands
Guozhong Dong China
Donghyun Shin relative to Anuradha Bhardwaj India Anuradha Bhardwaj's profile →
Citations per field
00.5×3.1×
Anuradha Bhardwaj · 1×
Citations per year

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

The 25 scholars most cited alongside Donghyun Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donghyun Shin Line = papers co-authored together Donghyun Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20247
5 20240
6 20245
7 202311
8 202311
9 20231
10 202120
11 20213
12 20211
13 202111
14 20202
15 202032
16 2019123
17 20182
18 20176
19 201527
20
Analysis of Genetic Diversity in Echinochloa Species Using Random Amplified Polymorphic DNAs(RAPDs) Markers
19981

About Donghyun Shin

Donghyun Shin is a scholar working on Animal Science and Zoology, Genetics and Equine, having authored 79 papers that have together received 844 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (30 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers), Cancer-related molecular mechanisms research (11 papers), Meat and Animal Product Quality (9 papers), Gut microbiota and health (8 papers), Probiotics and Fermented Foods (8 papers), Animal Nutrition and Physiology (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Equine (34 citations), Animal Science and Zoology (165 citations) and Genetics (315 citations). Donghyun Shin has collaborated with scholars based in South Korea, India and Australia. Frequent 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 Woncheoul Park. Their work appears in journals such as PLoS ONE, Scientific Reports and Molecules.

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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