Run Jin
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Chromosomal and Genetic Variations
-
- Plant Reproductive Biology
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Plant tissue culture and regeneration
- Genomics and Chromatin Dynamics
Papers in
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Doris Wagner (4 shared papers)Yang Zhu (3 shared papers)Samantha J. Klasfeld (2 shared papers)Jun Ying Xiao (2 shared papers)Koji Goto (1 shared paper)Cheol Woong Jeong (1 shared paper)Nobutoshi Yamaguchi (1 shared paper)Huimin Zhao (1 shared paper)
- Journals
- Nature Communications (4 papers)Agronomy (1 paper)American Journal of Neuroradiology (1 paper)International Journal of Molecular Sciences (1 paper)Ecological Indicators (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Run Jin
17 papers receiving 797 citations
Peers
Comparison fields: 5 of 70
- Plant Science 565
- Molecular Biology 523
- Horticulture 4
- Genetics 25
- Aging 4
Countries citing papers authored by Run Jin
This map shows the geographic impact of Run Jin'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 Run Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Jin more than expected).
Fields of papers citing papers by Run Jin
This network shows the impact of papers produced by Run Jin. 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 Run Jin. The network helps show where Run Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Run Jin, 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 | 2017 | 215 | |
| 2 | 2020 | 184 | |
| 3 | 2021 | 99 | |
| 4 | 2019 | 82 | |
| 5 | 2016 | 66 | |
| 6 | 2017 | 53 | |
| 7 | 2022 | 33 | |
| 8 | 2023 | 32 | |
| 9 | 2022 | 15 | |
| 10 | 2025 | 10 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 1994 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Run Jin
Run Jin is a scholar working on Genetics, Neurology, Plant Science, Molecular Biology and Biological Psychiatry, having authored 17 papers that have together received 803 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers), Glioma Diagnosis and Treatment (3 papers), Plant tissue culture and regeneration (2 papers), CRISPR and Genetic Engineering (1 paper), Tryptophan and brain disorders (1 paper), Advanced Control Systems Optimization (1 paper) and Hydropower, Displacement, Environmental Impact (1 paper). The work is most often cited by research in Plant Science (565 citations), Molecular Biology (523 citations), Horticulture (4 citations), Genetics (25 citations) and Aging (4 citations). Run Jin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Doris Wagner, Yang Zhu, Samantha J. Klasfeld, Jun Ying Xiao, Koji Goto, Cheol Woong Jeong, Nobutoshi Yamaguchi, Huimin Zhao, Jiazhang Lian and Soon‐Ki Han. Their work appears in journals such as Nature Communications, Agronomy, American Journal of Neuroradiology, International Journal of Molecular Sciences and Ecological Indicators.
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.