Min Oh

About

Min Oh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Min Oh has authored 14 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Min Oh’s work include Computational Drug Discovery Methods (6 papers), Gut microbiota and health (3 papers) and Bioinformatics and Genomic Networks (3 papers). Min Oh is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Gut microbiota and health (3 papers) and Bioinformatics and Genomic Networks (3 papers). Min Oh collaborates with scholars based in United States, South Korea and Denmark. Min Oh's co-authors include Liqing Zhang, Amy Pruden, Lenwood S. Heath, Kang Xia, Chaoqi Chen, Liqing Zhang, Jaegyoon Ahn, Youngmi Yoon, Liqing Zhang and Pang Du and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environment International.

In The Last Decade

Co-authorship network of co-authors of Min Oh i

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Fields of papers citing papers by Min Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Oh

Since Specialization

Citations

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

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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