Mingna Jin
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Plant Molecular Biology Research 5
- Rice Cultivation and Yield Improvement 3
- Plant Stress Responses and Tolerance 1
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- Photosynthetic Processes and Mechanisms 3
- Plant Reproductive Biology 2
- Plant Gene Expression Analysis 1
- Co-authors
- Kunneng Zhou (7 shared papers)Haiyang Wang (5 shared papers)Jianmin Wan (5 shared papers)Peike Sheng (4 shared papers)Zhijun Cheng (6 shared papers)Ling Jiang (3 shared papers)He Gao (3 shared papers)Yulong Ren (3 shared papers)
- Journals
- The Plant Journal (3 papers)Proceedings of the National Academy of Sciences (1 paper)Plant Cell Reports (1 paper)Plant Molecular Biology Reporter (1 paper)PLoS Genetics (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Mingna Jin
9 papers receiving 839 citations
Peers
Comparison fields: 5 of 43
- Plant Science 746
- Genetics 367
- Molecular Biology 320
- Horticulture 4
- Nutrition and Dietetics 35
Countries citing papers authored by Mingna Jin
This map shows the geographic impact of Mingna 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 Mingna Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingna Jin more than expected).
Fields of papers citing papers by Mingna Jin
This network shows the impact of papers produced by Mingna 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 Mingna Jin. The network helps show where Mingna Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingna 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 | 2014 | 238 | |
| 2 | 2013 | 168 | |
| 3 | 2010 | 114 | |
| 4 | 2014 | 74 | |
| 5 | 2016 | 71 | |
| 6 | 2015 | 59 | |
| 7 | 2018 | 52 | |
| 8 | 2014 | 48 | |
| 9 | 2012 | 23 |
About Mingna Jin
Mingna Jin is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 9 papers that have together received 847 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Rice Cultivation and Yield Improvement (3 papers), Plant Reproductive Biology (2 papers), Plant Stress Responses and Tolerance (1 paper), Plant Taxonomy and Phylogenetics (1 paper) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Plant Science (746 citations), Genetics (367 citations), Molecular Biology (320 citations), Horticulture (4 citations) and Nutrition and Dietetics (35 citations). Mingna Jin has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Kunneng Zhou, Haiyang Wang, Jianmin Wan, Peike Sheng, Zhijun Cheng, Ling Jiang, He Gao, Yulong Ren, Shijia Liu and Jiulin Wang. Their work appears in journals such as The Plant Journal, Proceedings of the National Academy of Sciences, Plant Cell Reports, Plant Molecular Biology Reporter and PLoS Genetics.
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.