Soon‐Chun Jeong
- Plant Science top 1%
- Legume Nitrogen Fixing Symbiosis 37
- Soybean genetics and cultivation 34
- Genetically Modified Organisms Research 23
- Plant Virus Research Studies 23
- Plant pathogens and resistance mechanisms 13
- Horticulture top 10%
- Agronomy and Crop Science top 5%
- Biotechnology top 10%
- Transgenic Plants and Applications 8
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- CRISPR and Genetic Engineering 17
- Plant tissue culture and regeneration 11
- Co-authors
- M. A. Saghai MaroofJung‐Kyung MoonNamhee JeongG. R. BussA. J. HayesDavid D. MyroldChang‐Gi KimMichael A. Gore
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Soon‐Chun Jeong
86 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 88
- Plant Science 2.0k
- Horticulture 15
- Agronomy and Crop Science 114
- Biotechnology 71
- Molecular Biology 519
Countries citing papers authored by Soon‐Chun Jeong
This map shows the geographic impact of Soon‐Chun Jeong'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 Soon‐Chun Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soon‐Chun Jeong more than expected).
Fields of papers citing papers by Soon‐Chun Jeong
This network shows the impact of papers produced by Soon‐Chun Jeong. 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 Soon‐Chun Jeong. The network helps show where Soon‐Chun Jeong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Soon‐Chun Jeong, 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 | 2023 | 3 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 17 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 69 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 44 | |
| 8 | 2019 | 5 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 10 | |
| 11 | 2015 | 35 | |
| 12 | 2012 | 82 | |
| 13 | Intra-host competition and interactions between 'Soybean mosaic virus' (SMV) strains in mixed-infected soybean | 2011 | 1 |
| 14 | 2011 | 19 | |
| 15 | 2008 | 15 | |
| 16 | Survey of Herbicide Resistant Oilseed Rapes around the Basin of Rivers in Incheon Harbor Area | 2007 | 5 |
| 17 | 2006 | 41 | |
| 18 | Genetic and sequence analysis of the RAPD fingerprint containing a Rsv3-linked marker rapidly identified by using RILs in soybean | 2005 | 3 |
| 19 | Effect of Heat, Pressure, and Acid Treatments on DNA and Protein Stability in GM Soybean | 2004 | 1 |
| 20 | 유전자 변형 작물 성분 검출용 PCR Kit의 성능 평가 연구 | 2004 | 1 |
About Soon‐Chun Jeong
Soon‐Chun Jeong is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (37 papers), Soybean genetics and cultivation (34 papers), Genetically Modified Organisms Research (23 papers), Plant Virus Research Studies (23 papers), CRISPR and Genetic Engineering (17 papers), Plant pathogens and resistance mechanisms (13 papers), Plant tissue culture and regeneration (11 papers) and Transgenic Plants and Applications (8 papers). The work is most often cited by research in Plant Science (2.0k citations), Horticulture (15 citations) and Agronomy and Crop Science (114 citations). Soon‐Chun Jeong has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include M. A. Saghai Maroof, Jung‐Kyung Moon, Namhee Jeong, G. R. Buss, A. J. Hayes, David D. Myrold, Chang‐Gi Kim, Michael A. Gore, Sung‐Taeg Kang and S. A. Tolin. Their work appears in journals such as Nature Communications, PLoS ONE and The Plant 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.