Run Jin
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
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- Plant Reproductive Biology
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Plant tissue culture and regeneration
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
Papers in
-
- Plant Reproductive Biology 4
- Plant tissue culture and regeneration 2
- Protein Degradation and Inhibitors 1
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- Plant Molecular Biology Research 4
- Co-authors
- Doris Wagner (4 shared papers)Yang Zhu (3 shared papers)Samantha Klasfeld (2 shared papers)Jun Xiao (2 shared papers)Cheol Woong Jeong (1 shared paper)Huimin Zhao (1 shared paper)Jiazhang Lian (1 shared paper)Koji Goto (1 shared paper)
- Journals
- Nature Communications (3 papers)Cancers (1 paper)Biotechnology and Bioengineering (1 paper)Agronomy (1 paper)Ecological Indicators (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Run Jin
8 papers receiving 440 citations
Peers
Comparison fields: 5 of 63
- Plant Science 334
- Molecular Biology 335
- Horticulture 4
- Biological Psychiatry 5
- Neurology 10
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 | 2020 | 146 | |
| 2 | 2021 | 83 | |
| 3 | 2019 | 79 | |
| 4 | 2016 | 62 | |
| 5 | 2017 | 47 | |
| 6 | 2022 | 25 | |
| 7 | 2024 | 1 | |
| 8 | 1994 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Run Jin
Run Jin is a scholar working on Molecular Biology, Plant Science, Global and Planetary Change, Genetics and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 444 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Plant Reproductive Biology (4 papers), Plant tissue culture and regeneration (2 papers), Hydropower, Displacement, Environmental Impact (1 paper), Water Resources and Sustainability (1 paper), Protein Degradation and Inhibitors (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Plant Science (334 citations), Molecular Biology (335 citations), Horticulture (4 citations), Biological Psychiatry (5 citations) and Neurology (10 citations). Run Jin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Doris Wagner, Yang Zhu, Samantha Klasfeld, Jun Xiao, Cheol Woong Jeong, Huimin Zhao, Jiazhang Lian, Koji Goto, Nobutoshi Yamaguchi and Soon‐Ki Han. Their work appears in journals such as Nature Communications, Cancers, Biotechnology and Bioengineering, Agronomy 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.