Meiling Ming
Impact in
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- Plant Gene Expression Analysis
- CRISPR and Genetic Engineering
- Plant tissue culture and regeneration
- Plant Science top 10%
- Plant Molecular Biology Research
- Postharvest Quality and Shelf Life Management
- Plant Stress Responses and Tolerance
- Chromosomal and Genetic Variations
Papers in
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- Plant Molecular Biology Research 6
- Plant Stress Responses and Tolerance 2
- Light effects on plants 1
-
- Plant Gene Expression Analysis 3
- CRISPR and Genetic Engineering 3
- Plant tissue culture and regeneration 3
- Co-authors
- Shaoling Zhang (4 shared papers)Jun Wu (4 shared papers)Runze Wang (2 shared papers)Leiting Li (2 shared papers)Yaojun Chang (1 shared paper)Xiao Ying Wu (1 shared paper)Andrew C. Allan (1 shared paper)Kaijie Qi (1 shared paper)
- Journals
- Plants (3 papers)BMC Plant Biology (2 papers)Forests (2 papers)International Journal of Molecular Sciences (2 papers)Plant Methods (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Meiling Ming
15 papers receiving 684 citations
Peers
Comparison fields: 5 of 23
- Molecular Biology 511
- Plant Science 258
- Genetics 66
- Agronomy and Crop Science 3
- Forestry 1
Countries citing papers authored by Meiling Ming
This map shows the geographic impact of Meiling Ming'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 Meiling Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Ming more than expected).
Fields of papers citing papers by Meiling Ming
This network shows the impact of papers produced by Meiling Ming. 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 Meiling Ming. The network helps show where Meiling Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Ming, 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 | 333 | |
| 2 | 2020 | 164 | |
| 3 | 2018 | 52 | |
| 4 | 2017 | 42 | |
| 5 | 2019 | 42 | |
| 6 | 2024 | 28 | |
| 7 | 2022 | 22 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Meiling Ming
Meiling Ming is a scholar working on Plant Science, Molecular Biology, Analytical Chemistry, Genetics and Nuclear Energy and Engineering, having authored 17 papers that have together received 699 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant Gene Expression Analysis (3 papers), CRISPR and Genetic Engineering (3 papers), Plant tissue culture and regeneration (3 papers), Plant Stress Responses and Tolerance (2 papers), Light effects on plants (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Molecular Biology (511 citations), Plant Science (258 citations), Genetics (66 citations), Agronomy and Crop Science (3 citations) and Forestry (1 citation). Meiling Ming has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Shaoling Zhang, Jun Wu, Runze Wang, Leiting Li, Yaojun Chang, Xiao Ying Wu, Andrew C. Allan, Kaijie Qi, Chao Gu and Changtian Pan. Their work appears in journals such as Plants, BMC Plant Biology, Forests, International Journal of Molecular Sciences and Plant Methods.
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.