Pingli Chen
Impact in
- Plant Science top 10%
- Rice Cultivation and Yield Improvement
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Plant Genetic and Mutation Studies
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- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Plant Molecular Biology Research 3
- Rice Cultivation and Yield Improvement 3
- Plant Stress Responses and Tolerance 3
- Plant Pathogenic Bacteria Studies 2
- Plant-Microbe Interactions and Immunity 1
- Genetics 9
- Genetic Mapping and Diversity in Plants and Animals 9
- Co-authors
- Zhao Da (3 shared papers)Guangming Lou (4 shared papers)Yuqing He (4 shared papers)Qinglu Zhang (1 shared paper)Bo Peng (2 shared papers)Zhilan Fan (12 shared papers)Luchang Ming (1 shared paper)Xianghua Li (1 shared paper)
- Journals
- Molecular Breeding (5 papers)Rice (3 papers)Plants (2 papers)The Crop Journal (1 paper)The Plant Cell (1 paper)
- Partner nations
- China
In The Last Decade
Pingli Chen
21 papers receiving 288 citations
Peers
Comparison fields: 5 of 23
- Plant Science 184
- Genetics 101
- Nutrition and Dietetics 31
- Molecular Biology 46
- Food Science 12
Countries citing papers authored by Pingli Chen
This map shows the geographic impact of Pingli Chen'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 Pingli Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingli Chen more than expected).
Fields of papers citing papers by Pingli Chen
This network shows the impact of papers produced by Pingli Chen. 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 Pingli Chen. The network helps show where Pingli Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingli Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 90 | |
| 2 | 2018 | 72 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 16 | |
| 5 | 2022 | 15 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Pingli Chen
Pingli Chen is a scholar working on Plant Science, Genetics, Molecular Biology, Computational Theory and Mathematics and Nuclear Energy and Engineering, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Molecular Biology Research (3 papers), Rice Cultivation and Yield Improvement (3 papers), Plant Stress Responses and Tolerance (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Plant Gene Expression Analysis (2 papers), Plant-Microbe Interactions and Immunity (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Plant Science (184 citations), Genetics (101 citations), Nutrition and Dietetics (31 citations), Molecular Biology (46 citations) and Food Science (12 citations). Pingli Chen has collaborated with scholars based in China. Frequent co-authors include Zhao Da, Guangming Lou, Yuqing He, Qinglu Zhang, Bo Peng, Zhilan Fan, Luchang Ming, Xianghua Li, Jinghua Xiao and Guanjun Gao. Their work appears in journals such as Molecular Breeding, Rice, Plants, The Crop Journal 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.