Mi‐Sook Min
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Global and Planetary Change top 5%
- Amphibian and Reptile Biology
Papers in
- Genetics 63
- Genetic diversity and population structure 55
- Genetic and phenotypic traits in livestock 20
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- Genomics and Phylogenetic Studies 19
- Co-authors
- Hyoyoung Lee (19 shared papers)Sohyeon Seo (11 shared papers)Hang Lee (59 shared papers)David R. Vieites (3 shared papers)David B. Wake (3 shared papers)Sae Mi Lee (7 shared papers)Takhee Lee (13 shared papers)Anupama B. Kaul (9 shared papers)
- Journals
- Animal Cells and Systems (6 papers)Scientific Reports (4 papers)Chemical Communications (4 papers)Molecules and Cells (4 papers)Animals (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Mi‐Sook Min
121 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 113
- Ecological Modeling 312
- Global and Planetary Change 609
- Genetics 653
- Polymers and Plastics 311
- Materials Chemistry 999
Countries citing papers authored by Mi‐Sook Min
This map shows the geographic impact of Mi‐Sook Min'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 Mi‐Sook Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi‐Sook Min more than expected).
Fields of papers citing papers by Mi‐Sook Min
This network shows the impact of papers produced by Mi‐Sook Min. 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 Mi‐Sook Min. The network helps show where Mi‐Sook Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi‐Sook Min, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 215 | |
| 2 | 2007 | 195 | |
| 3 | 2013 | 188 | |
| 4 | 2011 | 139 | |
| 5 | 2016 | 125 | |
| 6 | 2014 | 125 | |
| 7 | 2013 | 123 | |
| 8 | 2015 | 106 | |
| 9 | 2013 | 105 | |
| 10 | 2005 | 96 | |
| 11 | 2011 | 78 | |
| 12 | 2013 | 59 | |
| 13 | 2011 | 57 | |
| 14 | 2020 | 57 | |
| 15 | 2006 | 51 | |
| 16 | 2011 | 51 | |
| 17 | 2017 | 47 | |
| 18 | 2021 | 45 | |
| 19 | 2013 | 44 | |
| 20 | 2015 | 42 |
About Mi‐Sook Min
Mi‐Sook Min is a scholar working on Genetics, Molecular Biology, Global and Planetary Change, Ecology and Electrical and Electronic Engineering, having authored 127 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (55 papers), Amphibian and Reptile Biology (35 papers), Wildlife Ecology and Conservation (24 papers), Genetic and phenotypic traits in livestock (20 papers), Genomics and Phylogenetic Studies (19 papers), Graphene research and applications (15 papers), Species Distribution and Climate Change (14 papers) and Molecular Junctions and Nanostructures (14 papers). The work is most often cited by research in Ecological Modeling (312 citations), Global and Planetary Change (609 citations), Genetics (653 citations), Polymers and Plastics (311 citations) and Materials Chemistry (999 citations). Mi‐Sook Min has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hyoyoung Lee, Sohyeon Seo, Hang Lee, David R. Vieites, David B. Wake, Sae Mi Lee, Takhee Lee, Anupama B. Kaul, Yeoheung Yoon and Jung‐Hyun Lee. Their work appears in journals such as Animal Cells and Systems, Scientific Reports, Chemical Communications, Molecules and Cells and Animals.
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.