Min Jin Kwon
Impact in
- Pharmacology top 10%
- Fungal Biology and Applications
- Microbial Natural Products and Biosynthesis
- Biotechnology top 10%
Papers in
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- Fungal and yeast genetics research 7
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- Fungal Biology and Applications 4
- Co-authors
- Vera Meyer (9 shared papers)Arthur F. J. Ram (7 shared papers)Mark Arentshorst (7 shared papers)Cees A. M. J. J. van den Hondel (3 shared papers)Benjamin M. Nitsche (3 shared papers)Thomas R. Jørgensen (3 shared papers)Joohae Park (2 shared papers)Sebastian C. Spohner (1 shared paper)
- Journals
- Applied Microbiology and Biotechnology (1 paper)Microbiology (1 paper)Microbiology Spectrum (1 paper)Molecular Microbiology (1 paper)Eukaryotic Cell (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Min Jin Kwon
12 papers receiving 462 citations
Peers
Comparison fields: 5 of 57
- Pharmacology 123
- Biotechnology 48
- Cell Biology 87
- Molecular Biology 353
- Plant Science 145
Countries citing papers authored by Min Jin Kwon
This map shows the geographic impact of Min Jin Kwon'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 Jin Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Jin Kwon more than expected).
Fields of papers citing papers by Min Jin Kwon
This network shows the impact of papers produced by Min Jin Kwon. 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 Jin Kwon. The network helps show where Min Jin Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Jin Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 132 | |
| 2 | 2010 | 104 | |
| 3 | 2012 | 43 | |
| 4 | 2009 | 40 | |
| 5 | 2021 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2013 | 28 | |
| 8 | 2013 | 27 | |
| 9 | 2020 | 12 | |
| 10 | 2017 | 7 | |
| 11 | 2005 | 2 | |
| 12 | Fast Spatiotemporal Correlation Spectroscopy to Determine Protein Lateral Diffusion Laws in Live Cell Membranes | 2014 | 1 |
About Min Jin Kwon
Min Jin Kwon is a scholar working on Molecular Biology, Pharmacology, Plant Science, Cell Biology and Organic Chemistry, having authored 12 papers that have together received 464 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (7 papers), Fungal Biology and Applications (4 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Mycotoxins in Agriculture and Food (2 papers), Advanced Malware Detection Techniques (1 paper), Network Security and Intrusion Detection (1 paper), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Pharmacology (123 citations), Biotechnology (48 citations), Cell Biology (87 citations), Molecular Biology (353 citations) and Plant Science (145 citations). Min Jin Kwon has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Vera Meyer, Arthur F. J. Ram, Mark Arentshorst, Cees A. M. J. J. van den Hondel, Benjamin M. Nitsche, Thomas R. Jørgensen, Joohae Park, Sebastian C. Spohner, Stefan Haefner and Tabea Schütze. Their work appears in journals such as Applied Microbiology and Biotechnology, Microbiology, Microbiology Spectrum, Molecular Microbiology and Eukaryotic Cell.
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.