Junsu Ko

1.4k citations
18 papers · 1.1k · h-index 15

Impact in

  • Equine top 2%
    • Veterinary Equine Medical Research
  • Genetics top 10%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock

Papers in

    • Protein Structure and Dynamics 6
    • Genomics and Phylogenetic Studies 4
    • Epigenetics and DNA Methylation 2
    • Genetic and phenotypic traits in livestock 2
    • Genetic diversity and population structure 1

Junsu Ko

18 papers receiving 1k citations

Peers

Junsu Ko
Comparison fields: 5 of 91
  • Equine 47
  • Genetics 314
  • Aging 15
  • Molecular Biology 456
  • Paleontology 51
Replace Roham Razaghi with:
Roham Razaghi United States
Imke Tammen Australia
Joy M Raison Australia
Mingshan Wang China
Candice Brinkmeyer‐Langford United States
Rüdiger Bräuning New Zealand
Matthew S. Hestand United States
Toyoshi Yoshiga Japan
Colin Kern United States
Ashley J. Waardenberg Australia
Junsu Ko relative to Roham Razaghi United States Roham Razaghi's profile →
Citations per field
00.5×2×4×6×7.8×
Roham Razaghi · 1×
Citations per year

Countries citing papers authored by Junsu Ko

Since Specialization
Citations

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

Fields of papers citing papers by Junsu Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junsu Ko, 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 Junsu Ko Line = papers co-authored together Junsu Ko links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013220
2 2013217
3 202299
4 201295
5 201268
6 201954
7 201349
8 201542
9 201335
10 201435
11 201129
12 201524
13 202021
14 201718
15 201515
16 202315
17 202213
18 20226

About Junsu Ko

Junsu Ko is a scholar working on Molecular Biology, Genetics, Equine, Biophysics and Cancer Research, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Genomics and Phylogenetic Studies (4 papers), Epigenetics and DNA Methylation (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic diversity and population structure (1 paper), Marine animal studies overview (1 paper), Carcinogens and Genotoxicity Assessment (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Equine (47 citations), Genetics (314 citations), Aging (15 citations), Molecular Biology (456 citations) and Paleontology (51 citations). Junsu Ko has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Chaok Seok, Hahnbeom Park, Gi Uk Jeong, Jaemyun Lyu, Kyun‐Do Kim, Gun Young Yoon, Young‐Chan Kwon, Young Cheul Chung, Insu Hwang and Sumin Lee. Their work appears in journals such as BMC Genomics, Proteins Structure Function and Bioinformatics, BMC Bioinformatics, Scientific Reports and Nature Communications.

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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