Ga‐Hee Shin

25 total papers · 618 total citations
19 papers, 400 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 400 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 Identification and Quantification in Food (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomics and Phylogenetic Studies (3 papers). Ga‐Hee Shin is often cited by papers focused on Identification and Quantification in Food (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomics and Phylogenetic Studies (3 papers). Ga‐Hee Shin collaborates with scholars based in South Korea, Germany and Russia. Ga‐Hee Shin's co-authors include Thomas Altmann, Carsten Müssig, Christine Lang, Ulf Ståhl, M. Veen, Junhyung Park, Tadelle Dessie, Zewdu Edea, 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 387 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ga‐Hee Shin 246 194 54 19 18 19 400
Lin Chen 240 1.0× 129 0.7× 104 1.9× 13 0.7× 27 1.5× 31 422
Shipeng Li 230 0.9× 182 0.9× 47 0.9× 35 1.8× 24 1.3× 24 379
Sara Sarid 135 0.5× 261 1.3× 55 1.0× 10 0.5× 7 0.4× 14 360
Jiahui Xu 138 0.6× 150 0.8× 19 0.4× 23 1.2× 41 2.3× 22 379
Yongchao Niu 169 0.7× 166 0.9× 136 2.5× 17 0.9× 39 2.2× 29 400
Jiang‐Lin Liao 331 1.3× 181 0.9× 57 1.1× 25 1.3× 7 0.4× 21 416
Yuhui Xu 257 1.0× 153 0.8× 138 2.6× 21 1.1× 30 1.7× 22 416
Mingzhou Bai 266 1.1× 180 0.9× 38 0.7× 17 0.9× 26 1.4× 12 376
Yao Ming 83 0.3× 151 0.8× 129 2.4× 35 1.8× 27 1.5× 22 374
Zhang Peng-fei 193 0.8× 137 0.7× 53 1.0× 6 0.3× 7 0.4× 24 419

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026