Mi‐Sook Min
Impact in
- Global and Planetary Change top 2%
- Amphibian and Reptile Biology
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
- Genetics 69
- Genetic diversity and population structure 67
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
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- Amphibian and Reptile Biology 27
- Co-authors
- Hang Lee (62 shared papers)David R. Vieites (4 shared papers)David B. Wake (3 shared papers)Junghwa An (19 shared papers)Mu‐Yeong Lee (15 shared papers)Ya‐Ping Zhang (6 shared papers)Jonathan Julio Fong (7 shared papers)Inna Voloshina (11 shared papers)
- Journals
- Animal Cells and Systems (8 papers)PLoS ONE (5 papers)Molecules and Cells (4 papers)Genes & Genetic Systems (4 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Mi‐Sook Min
103 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 80
- Global and Planetary Change 655
- Ecological Modeling 75
- Genetics 864
- Paleontology 197
- Ecology 214
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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 197 | |
| 2 | 2016 | 130 | |
| 3 | 2013 | 112 | |
| 4 | 2005 | 94 | |
| 5 | 2011 | 86 | |
| 6 | 2012 | 79 | |
| 7 | 2010 | 63 | |
| 8 | 2010 | 53 | |
| 9 | 2011 | 53 | |
| 10 | 2006 | 49 | |
| 11 | 2012 | 39 | |
| 12 | 2014 | 39 | |
| 13 | 2020 | 39 | |
| 14 | 2015 | 38 | |
| 15 | 2004 | 36 | |
| 16 | 2008 | 36 | |
| 17 | 2020 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2004 | 27 | |
| 20 | 2015 | 26 |
About Mi‐Sook Min
Mi‐Sook Min is a scholar working on Genetics, Global and Planetary Change, Paleontology, Ecology and Molecular Biology, having authored 111 papers that have together received 2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (67 papers), Amphibian and Reptile Biology (27 papers), Evolution and Paleontology Studies (9 papers), Genomics and Phylogenetic Studies (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Avian ecology and behavior (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Morphological variations and asymmetry (3 papers). The work is most often cited by research in Global and Planetary Change (655 citations), Ecological Modeling (75 citations), Genetics (864 citations), Paleontology (197 citations) and Ecology (214 citations). Mi‐Sook Min has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hang Lee, David R. Vieites, David B. Wake, Junghwa An, Mu‐Yeong Lee, Ya‐Ping Zhang, Jonathan Julio Fong, Inna Voloshina, Bruce Waldman and Jing Che. Their work appears in journals such as Animal Cells and Systems, PLoS ONE, Molecules and Cells, Genes & Genetic Systems and Scientific Reports.
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.