Seomun Kwon
Impact in
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Virus Research Studies
- Plant Disease Resistance and Genetics
- Plant Pathogenic Bacteria Studies
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in
-
- Fungal and yeast genetics research 4
- Extracellular vesicles in disease 3
- Studies on Chitinases and Chitosanases 2
-
- Plant-Microbe Interactions and Immunity 7
- Plant pathogens and resistance mechanisms 2
- Co-authors
- Junhyun Jeon (4 shared papers)Yong‐Hwan Lee (5 shared papers)Seongbeom Kim (4 shared papers)Jongbum Jeon (3 shared papers)Michael Feldbrügge (6 shared papers)Ki‐Tae Kim (2 shared papers)Hyunjung Chung (2 shared papers)Chang Hyun Khang (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)Molecular Plant-Microbe Interactions (2 papers)The Plant Pathology Journal (1 paper)British Journal of Educational Technology (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- GermanySouth KoreaFrance
In The Last Decade
Seomun Kwon
12 papers receiving 416 citations
Peers
Comparison fields: 5 of 33
- Plant Science 329
- Cell Biology 132
- Endocrinology 21
- Molecular Biology 203
- Pharmacology 45
Countries citing papers authored by Seomun Kwon
This map shows the geographic impact of Seomun 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 Seomun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seomun Kwon more than expected).
Fields of papers citing papers by Seomun Kwon
This network shows the impact of papers produced by Seomun 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 Seomun Kwon. The network helps show where Seomun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Seomun 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 | 2019 | 104 | |
| 2 | 2020 | 98 | |
| 3 | 2014 | 68 | |
| 4 | 2021 | 35 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 22 | |
| 8 | 2020 | 17 | |
| 9 | 2023 | 9 | |
| 10 | 2014 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2008 | 0 |
About Seomun Kwon
Seomun Kwon is a scholar working on Molecular Biology, Plant Science, Cell Biology, Endocrinology and Epidemiology, having authored 14 papers that have together received 417 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogens and Fungal Diseases (4 papers), Plant and Fungal Interactions Research (4 papers), Fungal and yeast genetics research (4 papers), Extracellular vesicles in disease (3 papers), Plant pathogens and resistance mechanisms (2 papers), Fungal Infections and Studies (2 papers) and Studies on Chitinases and Chitosanases (2 papers). The work is most often cited by research in Plant Science (329 citations), Cell Biology (132 citations), Endocrinology (21 citations), Molecular Biology (203 citations) and Pharmacology (45 citations). Seomun Kwon has collaborated with scholars based in Germany, South Korea and France. Frequent co-authors include Junhyun Jeon, Yong‐Hwan Lee, Seongbeom Kim, Jongbum Jeon, Michael Feldbrügge, Ki‐Tae Kim, Hyunjung Chung, Chang Hyun Khang, Jaeyoung Choi and Seogchan Kang. Their work appears in journals such as PLoS Pathogens, Molecular Plant-Microbe Interactions, The Plant Pathology Journal, British Journal of Educational Technology and Applied Microbiology and Biotechnology.
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.