Ga‐Hee Shin

622 total citations
19 papers, 402 citations indexed

About

Ga‐Hee Shin is a scholar working on Molecular Biology, Aquatic Science and Computational Theory and Mathematics. According to data from OpenAlex, Ga‐Hee Shin has authored 19 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Aquatic Science and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ga‐Hee Shin's work include Biomedical Text Mining and Ontologies (4 papers), Identification and Quantification in Food (4 papers) and Bioinformatics and Genomic Networks (3 papers). Ga‐Hee Shin is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Identification and Quantification in Food (4 papers) and Bioinformatics and Genomic Networks (3 papers). Ga‐Hee Shin collaborates with scholars based in South Korea, Germany and Poland. Ga‐Hee Shin's co-authors include Carsten Müssig, Thomas Altmann, Christine Lang, Ulf Ståhl, M. Veen, Junhyung Park, Zewdu Edea, Tadelle Dessie, Si‐Wan Kim and Hailu Dadi and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Molecules.

In The Last Decade

Ga‐Hee Shin

19 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ga‐Hee Shin South Korea 8 247 195 55 19 18 19 402
Shipeng Li China 11 232 0.9× 182 0.9× 47 0.9× 35 1.8× 24 1.3× 24 382
Yuhui Xu China 12 265 1.1× 161 0.8× 143 2.6× 21 1.1× 31 1.7× 22 430
Mingzhou Bai China 7 270 1.1× 182 0.9× 38 0.7× 17 0.9× 26 1.4× 12 382
Owen Z. Woody Canada 6 308 1.2× 206 1.1× 29 0.5× 18 0.9× 21 1.2× 9 460
Bingyan Huang China 15 484 2.0× 234 1.2× 32 0.6× 9 0.5× 37 2.1× 56 578
Meng Ma China 12 389 1.6× 338 1.7× 92 1.7× 25 1.3× 5 0.3× 26 616
Varsha Chhotusing Pardeshi India 9 160 0.6× 150 0.8× 136 2.5× 20 1.1× 5 0.3× 16 388
Zhuang Yang China 10 163 0.7× 147 0.8× 20 0.4× 20 1.1× 12 0.7× 29 296

Countries citing papers authored by Ga‐Hee Shin

Since Specialization
Citations

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

Fields of papers citing papers by Ga‐Hee Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ga‐Hee Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Ga‐Hee Shin. A scholar is included among the top collaborators of Ga‐Hee 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 Ga‐Hee Shin. Ga‐Hee Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shin, Ga‐Hee, et al.. (2022). Novel data archival system for multi-omics data of human exposure to harmful substances. Molecular & Cellular Toxicology. 18(2). 277–283. 2 indexed citations
2.
Nam, Bo‐Hye, DongAhn Yoo, Young‐Ok Kim, et al.. (2020). Author Correction: Whole genome sequencing reveals the impact of recent artificial selection on red sea bream reared in fish farms. Scientific Reports. 10(1). 1625–1625. 1 indexed citations
3.
Nam, Bo‐Hye, DongAhn Yoo, Young‐Ok Kim, et al.. (2019). Whole genome sequencing reveals the impact of recent artificial selection on red sea bream reared in fish farms. Scientific Reports. 9(1). 6487–6487. 11 indexed citations
4.
Liyanage, D.S., Minyoung Oh, Qiang Wan, et al.. (2019). First Draft Genome Assembly of Redlip Mullet (Liza haematocheila) From Family Mugilidae. Frontiers in Genetics. 10. 1246–1246. 7 indexed citations
5.
Shin, Ga‐Hee, Younhee Shin, Myunghee Jung, et al.. (2018). First Draft Genome for Red Sea Bream of Family Sparidae. Frontiers in Genetics. 9. 643–643. 23 indexed citations
6.
Shin, Younhee, Myunghee Jung, Ga‐Hee Shin, et al.. (2018). First draft genome sequence of the rock bream in the family Oplegnathidae. Scientific Data. 5(1). 180234–180234. 5 indexed citations
7.
Baek, Su‐Jin, Jin Mi Chun, Tae-Wook Kang, et al.. (2018). Identification of Epigenetic Mechanisms Involved in the Anti-Asthmatic Effects of Descurainia sophia Seed Extract Based on a Multi-Omics Approach. Molecules. 23(11). 2879–2879. 14 indexed citations
8.
9.
Edea, Zewdu, Hailu Dadi, Si‐Wan Kim, et al.. (2014). Linkage disequilibrium and genomic scan to detect selective loci in cattle populations adapted to different ecological conditions in Ethiopia. Journal of Animal Breeding and Genetics. 131(5). 358–366. 34 indexed citations
10.
Kang, Byeong-Chul, et al.. (2013). Decision supporting frame to estimate chronic exposure suspicion to VOC chemicals using mixed statistical model. Molecular & Cellular Toxicology. 9(1). 75–83. 3 indexed citations
11.
Shin, Ga‐Hee, et al.. (2013). Prediction of VOCs based on functional analysis by decision supporting system. Molecular & Cellular Toxicology. 9(3). 277–284. 2 indexed citations
12.
Shin, Ga‐Hee, M. Veen, Ulf Ståhl, & Christine Lang. (2012). Overexpression of genes of the fatty acid biosynthetic pathway leads to accumulation of sterols in Saccharomyces cerevisiae. Yeast. 29(9). 371–383. 32 indexed citations
13.
Shin, Ga‐Hee, Seunghun Lee, Seung‐Jun Kim, et al.. (2012). mRNA-centric semantic modeling for finding molecular signature of trace chemical in human blood. Molecular & Cellular Toxicology. 8(1). 35–41. 3 indexed citations
14.
Kim, Hyung-Yong, Sangmin Lee, Ga‐Hee Shin, et al.. (2011). Semantic data integration for toxicogenomic laboratory experiment management systems. Toxicology and Environmental Health Sciences. 3(3). 135–143. 1 indexed citations
15.
Kang, Byeong-Chul, et al.. (2011). Semantic data integration to biological relationship among chemicals, diseases, and differential expressed genes. BioChip Journal. 5(1). 63–71. 2 indexed citations
16.
Shin, Ga‐Hee, Hyung-Yong Kim, Tae‐Ho Lee, Junhyung Park, & Byeong-Chul Kang. (2010). A novel semantic framework for toxicogenomics. Toxicology and Environmental Health Sciences. 2(1). 1–3. 7 indexed citations
17.
Shin, Ga‐Hee, Pil J. Yoo, & Jong Hyeok Park. (2009). Fabrication of an Efficient Dye-sensitized Solar Cell with Stainless Steel Substrate. ECS Meeting Abstracts. MA2009-02(9). 753–753. 1 indexed citations
18.
Shin, Ga‐Hee, et al.. (2003). Comparative Study of the Effects of Various Culture Conditions on Cell Growth and Gagaminine Synthesis in Suspension Culture of Cynanchum wilfordii (MAXIM.) HEMSLEY. Biological and Pharmaceutical Bulletin. 26(9). 1321–1325. 9 indexed citations
19.
Müssig, Carsten, Ga‐Hee Shin, & Thomas Altmann. (2003). Brassinosteroids Promote Root Growth in Arabidopsis. PLANT PHYSIOLOGY. 133(3). 1261–1271. 239 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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2026