Younhee Ko

1.1k citations
36 papers · 649 · h-index 14

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • Gene expression and cancer classification 4
    • Genomics and Phylogenetic Studies 3
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genomics and Rare Diseases 3

Younhee Ko

31 papers receiving 643 citations

Peers

Younhee Ko
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 28
  • Immunology 90
  • Molecular Biology 288
  • Developmental Neuroscience 14
  • Genetics 94
Replace Penggao Dai with:
Penggao Dai China
Sipko van Dam Netherlands
Isabell Greeve Germany
Miguel Ararat United States
Qingyao Huang Switzerland
Silvia Salatino United Kingdom
Catherine Chu United States
Laura Cuomo Italy
Anju Kelkar United States
Yuping Wei China
Younhee Ko relative to Penggao Dai China Penggao Dai's profile →
Citations per field
00.5×3.5×
Penggao Dai · 1×
Citations per year

Countries citing papers authored by Younhee Ko

Since Specialization
Citations

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

Fields of papers citing papers by Younhee Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 202066
3 201961
4 201358
5 201637
6 202034
7 201634
8 201832
9 201925
10 200920
11 201918
12 201714
13 202314
14 202014
15 201511
16 20079
17 20198
18 20208
19 20118
20 20197

About Younhee Ko

Younhee Ko is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Immunology and Pharmacology, having authored 36 papers that have together received 649 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (4 papers), Computational Drug Discovery Methods (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Genomics and Rare Diseases (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (28 citations), Immunology (90 citations), Molecular Biology (288 citations), Developmental Neuroscience (14 citations) and Genetics (94 citations). Younhee Ko has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jaebum Kim, Jin‐Sung Lee, Gyu Seok Cho, Sandra L. Rodriguez‐Zas, Hongseok Shim, Sohyun Hwang, Tak Lee, Sunmo Yang, Hyojin Kim and Chanyoung Kim. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Proceedings of the National Academy of Sciences, Nucleic Acids Research and BMC Bioinformatics.

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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