Jung‐Kyung Moon
- Plant Science top 1%
- Molecular Biology
- Genetics top 10%
- Agronomy and Crop Science top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Soon‐Chun JeongNamhee JeongSuk‐Ha LeeSung‐Taeg KangNamshin KimHong Sig KimKyujung VanSoo-Kwon Park
- Topics
- Soybean genetics and cultivation (54 papers)Legume Nitrogen Fixing Symbiosis (34 papers)Plant pathogens and resistance mechanisms (19 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jung‐Kyung Moon
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Plant Science 1.5k
- Molecular Biology 284
- Genetics 181
- Agronomy and Crop Science 90
- Ecology, Evolution, Behavior and Systematics 78
Countries citing papers authored by Jung‐Kyung Moon
This map shows the geographic impact of Jung‐Kyung Moon'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 Jung‐Kyung Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung‐Kyung Moon more than expected).
Fields of papers citing papers by Jung‐Kyung Moon
This network shows the impact of papers produced by Jung‐Kyung Moon. 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 Jung‐Kyung Moon. The network helps show where Jung‐Kyung Moon may publish in the future.
Co-authorship network of co-authors of Jung‐Kyung Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Jung‐Kyung Moon. A scholar is included among the top collaborators of Jung‐Kyung Moon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jung‐Kyung Moon. Jung‐Kyung Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 69 | |
| 7 | 27 | |
| 8 | 44 | |
| 9 | 5 | |
| 10 | 48 | |
| 11 | 40 | |
| 12 | 35 | |
| 13 | 46 | |
| 14 | Marker-Assisted Foreground and Background Selection of Near Isogenic Lines for Bacterial Leaf Pustule Resistant Gene in Soybean | 15 |
| 15 | 15 | |
| 16 | Discrimination of Korean Soybean Cultivars by SSR Markers | 5 |
| 17 | 41 | |
| 18 | Genetic and sequence analysis of the RAPD fingerprint containing a Rsv3-linked marker rapidly identified by using RILs in soybean | 3 |
| 19 | Varietal Variation of Oligosaccharides during Germination in Soybean | 2 |
| 20 | Evaluation of Genetic Diversity among Soybean Genotypes Using SSR and SNP | 9 |
About Jung‐Kyung Moon
Jung‐Kyung Moon is a scholar working on Plant Science, Endocrinology and Ecology, Evolution, Behavior and Systematics, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (54 papers), Legume Nitrogen Fixing Symbiosis (34 papers) and Plant pathogens and resistance mechanisms (19 papers). The work is most often cited by research in Plant Science (1.5k citations), Horticulture (12 citations) and Endocrinology (53 citations). Jung‐Kyung Moon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Soon‐Chun Jeong, Namhee Jeong, Suk‐Ha Lee, Sung‐Taeg Kang, Namshin Kim, Hong Sig Kim, Kyujung Van, Soo-Kwon Park, Kil Hyun Kim and Kiwoung Yang. 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.