Hyeonso Ji
- Plant Science top 5%
- Rice Cultivation and Yield Improvement 21
- Plant Disease Resistance and Genetics 13
- GABA and Rice Research 10
- Soybean genetics and cultivation 5
- Plant Molecular Biology Research 5
- Plant responses to water stress 4
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals 25
- Insect Science top 10%
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- Agriculture, Soil, Plant Science 5
- Co-authors
- Jeongho BaekSong Lim KimInchan ChoiKyung-Hwan KimGang‐Seob LeeHee‐Jong KohIn Sun YoonEun‐Gyeong Lee
- Cited by
- Plant ScienceGeneticsInsect Science
- Partner nations
- South KoreaUnited StatesPhilippines
In The Last Decade
Hyeonso Ji
53 papers receiving 874 citations
Peers
Comparison fields: 5 of 56
- Plant Science 796
- Genetics 334
- Insect Science 81
- Horticulture 5
- Cell Biology 65
Countries citing papers authored by Hyeonso Ji
This map shows the geographic impact of Hyeonso Ji'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 Hyeonso Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeonso Ji more than expected).
Fields of papers citing papers by Hyeonso Ji
This network shows the impact of papers produced by Hyeonso Ji. 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 Hyeonso Ji. The network helps show where Hyeonso Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyeonso Ji, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 75 | |
| 9 | 2020 | 0 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 7 | |
| 12 | 2019 | 30 | |
| 13 | 2017 | 28 | |
| 14 | 2016 | 113 | |
| 15 | Current Status of Structural and Expression Analysis of Seed Storage Protein Genes in Japonica Rice | 2012 | 1 |
| 16 | Development of rice molecular genetic and physical map using PCR-based DNA markers with the recombinant inbred population derived from Milyang23/Gihobyeo cross. | 2012 | 4 |
| 17 | Molecular and genetic characterization of OSH6 (Oryza sativa Homeobox 6) using dissociation ( Ds ) insertion mutant rice | 2011 | 2 |
| 18 | 2008 | 87 | |
| 19 | Trait Variation and Molecular Characterization of Ds insertional rice lines | 2008 | 2 |
| 20 | Isolation and Characterization of a Ds-tagged liguleless Mutant in Rice (Oryza sativa. L) | 2008 | 1 |
About Hyeonso Ji
Hyeonso Ji is a scholar working on Plant Science, Horticulture and Genetics, having authored 56 papers that have together received 904 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (25 papers), Rice Cultivation and Yield Improvement (21 papers), Plant Disease Resistance and Genetics (13 papers), GABA and Rice Research (10 papers), Agriculture, Soil, Plant Science (5 papers), Soybean genetics and cultivation (5 papers), Plant Molecular Biology Research (5 papers) and Plant responses to water stress (4 papers). The work is most often cited by research in Plant Science (796 citations), Genetics (334 citations) and Insect Science (81 citations). Hyeonso Ji has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Jeongho Baek, Song Lim Kim, Inchan Choi, Kyung-Hwan Kim, Gang‐Seob Lee, Hee‐Jong Koh, In Sun Yoon, Eun‐Gyeong Lee, Susan R. McCouch and Kyeong-Seong Cheon. Their work appears in journals such as Scientific Reports, Genetics and The Plant Journal.
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.