Gunhwan Ko

1.1k total citations
4 papers, 20 citations indexed

About

Gunhwan Ko is a scholar working on Molecular Biology, Information Systems and Genetics. According to data from OpenAlex, Gunhwan Ko has authored 4 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Information Systems and 1 paper in Genetics. Recurrent topics in Gunhwan Ko's work include Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Bioinformatics (2 papers). Gunhwan Ko is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Bioinformatics (2 papers). Gunhwan Ko collaborates with scholars based in South Korea. Gunhwan Ko's co-authors include Byung-Wook Lee, Seungwoo Hwang, Jaeeun Jung, Insu Jang, Byoung-Ha Yoon, Jinhyuk Choi, Seong-Jin Park, Seon‐Young Kim, Jong-Hwan Kim and Sangok Kim and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genomics & Informatics.

In The Last Decade

Gunhwan Ko

3 papers receiving 20 citations

Peers

Gunhwan Ko
Feras Almourfi Saudi Arabia
Eliot Ragueneau United Kingdom
Melissa Alamprese United States
Trevor S. Frisby United States
Yongdeuk Hwang South Korea
Rafe Shellooe United States
Gunhwan Ko
Citations per year, relative to Gunhwan Ko Gunhwan Ko (= 1×) peers Lincoln Stein

Countries citing papers authored by Gunhwan Ko

Since Specialization
Citations

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

Fields of papers citing papers by Gunhwan Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunhwan Ko

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

All Works

4 of 4 papers shown
1.
Lee, Byung-Wook, Seungwoo Hwang, Gunhwan Ko, et al.. (2023). Introduction of the Korea BioData Station (K-BDS) for sharing biological data. Genomics & Informatics. 21(1). e12–e12. 10 indexed citations
2.
Kim, Eiru, Sunmo Yang, Gunhwan Ko, et al.. (2019). BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome. Bioinformatics. 36(5). 1584–1589. 3 indexed citations
3.
Yang, Jin Ok, Sang Ho Oh, Gunhwan Ko, et al.. (2011). VnD: A structure-centric database of disease-related SNPs and drugs. 2.
4.
Yang, Jin Ok, Sang Ho Oh, Gunhwan Ko, et al.. (2010). VnD: a structure-centric database of disease-related SNPs and drugs. Nucleic Acids Research. 39(suppl_1). D939–D944. 7 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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