Gir-Won Lee
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Mycorrhizal Fungi and Plant Interactions
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Mycorrhizal Fungi and Plant Interactions 6
- Plant-Microbe Interactions and Immunity 4
- Plant Pathogenic Bacteria Studies 2
-
- Plant Pathogens and Fungal Diseases 9
- Co-authors
- Yong‐Hwan Lee (13 shared papers)Jaeyoung Choi (11 shared papers)Sook‐Young Park (8 shared papers)Junhyun Jeon (3 shared papers)Ralph A. Dean (2 shared papers)Moon‐Woo Seong (1 shared paper)Ji-Young Yun (1 shared paper)Jeong‐Sun Seo (1 shared paper)
- Journals
- Scientific Reports (2 papers)PLoS ONE (2 papers)Molecular Plant-Microbe Interactions (1 paper)BMB Reports (1 paper)Journal of Biotechnology (1 paper)
- Partner nations
- South KoreaUnited StatesFinland
In The Last Decade
Gir-Won Lee
21 papers receiving 730 citations
Peers
Comparison fields: 5 of 89
- Plant Science 399
- Infectious Diseases 186
- Cell Biology 141
- Pharmacology 121
- Endocrinology 24
Countries citing papers authored by Gir-Won Lee
This map shows the geographic impact of Gir-Won Lee'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 Gir-Won Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gir-Won Lee more than expected).
Fields of papers citing papers by Gir-Won Lee
This network shows the impact of papers produced by Gir-Won Lee. 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 Gir-Won Lee. The network helps show where Gir-Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Gir-Won Lee, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2009 | 107 | |
| 3 | 2015 | 93 | |
| 4 | 2013 | 62 | |
| 5 | 2016 | 43 | |
| 6 | 2012 | 41 | |
| 7 | 2016 | 38 | |
| 8 | 2019 | 30 | |
| 9 | 2015 | 25 | |
| 10 | 2022 | 18 | |
| 11 | 2014 | 18 | |
| 12 | 2013 | 17 | |
| 13 | 2014 | 15 | |
| 14 | 2022 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2023 | 8 |
About Gir-Won Lee
Gir-Won Lee is a scholar working on Plant Science, Cell Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 21 papers that have together received 736 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (9 papers), Fungal and yeast genetics research (6 papers), Mycorrhizal Fungi and Plant Interactions (6 papers), Plant-Microbe Interactions and Immunity (4 papers), Lichen and fungal ecology (4 papers), Fungal Biology and Applications (3 papers), Plant Pathogenic Bacteria Studies (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Plant Science (399 citations), Infectious Diseases (186 citations), Cell Biology (141 citations), Pharmacology (121 citations) and Endocrinology (24 citations). Gir-Won Lee has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Yong‐Hwan Lee, Jaeyoung Choi, Sook‐Young Park, Junhyun Jeon, Ralph A. Dean, Moon‐Woo Seong, Ji-Young Yun, Jeong‐Sun Seo, Pyoeng Gyun Choe and Jin Yong Kim. Their work appears in journals such as Scientific Reports, PLoS ONE, Molecular Plant-Microbe Interactions, BMB Reports and Journal of 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.