Meixian Yan
- Plant Science top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Ecology, Evolution, Behavior and Systematics top 2%
- Nutrition and Dietetics top 5%
- Topics
- Plant Molecular Biology Research (8 papers)GABA and Rice Research (7 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Meixian Yan
24 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Plant Science 3.2k
- Molecular Biology 1.1k
- Genetics 1.1k
- Ecology, Evolution, Behavior and Systematics 373
- Nutrition and Dietetics 342
Countries citing papers authored by Meixian Yan
This map shows the geographic impact of Meixian Yan'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 Meixian Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meixian Yan more than expected).
Fields of papers citing papers by Meixian Yan
This network shows the impact of papers produced by Meixian Yan. 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 Meixian Yan. The network helps show where Meixian Yan may publish in the future.
Co-authorship network of co-authors of Meixian Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Meixian Yan. A scholar is included among the top collaborators of Meixian Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meixian Yan. Meixian Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 115 | |
| 2 | 15 | |
| 3 | 132 | |
| 4 | 6 | |
| 5 | Mapping and genetic analysis of quantitative trait loci for related traits of cooked rice. | 4 |
| 6 | 75 | |
| 7 | 68 | |
| 8 | 2 | |
| 9 | 42 | |
| 10 | 149 | |
| 11 | Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in ricebreakdown → | 1146 |
| 12 | DWARF27, an Iron-Containing Protein Required for the Biosynthesis of Strigolactones, Regulates Rice Tiller Bud Outgrowth breakdown → | 518 |
| 13 | 139 | |
| 14 | Allelic diversities in rice starch biosynthesis lead to a diverse array of rice eating and cooking qualitiesbreakdown → | 446 |
| 15 | 72 | |
| 16 | 77 | |
| 17 | 63 | |
| 18 | Improvement of Rice Salt-Tolerance by Using an Integrated Method of Gene Transformation and Traditional Breeding | 1 |
| 19 | 333 | |
| 20 | Application of bar gene in direct seeded rice. | 2 |
About Meixian Yan
Meixian Yan is a scholar working on Plant Science, Genetics and Nutrition and Dietetics, having authored 24 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), GABA and Rice Research (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Plant Science (3.2k citations), Genetics (1.1k citations) and Nutrition and Dietetics (342 citations). Meixian Yan has collaborated with scholars based in China and United States. Frequent co-authors include Qian Qian, Jiayang Li, Yonghong Wang, Dali Zeng, Guojun Dong, Guifu Liu, Dawei Xue, Zefu Lu, Jing Wang and Xudong Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics 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.