Fa Cui
Impact in
- Plant Science top 1%
- Wheat and Barley Genetics and Pathology
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Genetics and Plant Breeding
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Wheat and Barley Genetics and Pathology 63
- Plant Molecular Biology Research 6
- Plant Genetic and Mutation Studies 2
- Plant nutrient uptake and metabolism 2
- Genetics 3
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Honggang Wang (20 shared papers)Chunhua Zhao (22 shared papers)Anming Ding (14 shared papers)Xingfeng Li (11 shared papers)Yinguang Bao (11 shared papers)Chunhua Zhao (23 shared papers)Jun‐Yuan Ji (16 shared papers)Xiaoli Fan (12 shared papers)
In The Last Decade
Fa Cui
73 papers receiving 2k citations
Peers
Comparison fields: 5 of 39
- Plant Science 1.8k
- Genetics 192
- Agronomy and Crop Science 38
- Molecular Biology 119
- Endocrine and Autonomic Systems 8
Countries citing papers authored by Fa Cui
This map shows the geographic impact of Fa Cui'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 Fa Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa Cui more than expected).
Fields of papers citing papers by Fa Cui
This network shows the impact of papers produced by Fa Cui. 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 Fa Cui. The network helps show where Fa Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa Cui, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 202 | |
| 2 | 2013 | 158 | |
| 3 | 2011 | 147 | |
| 4 | 2020 | 106 | |
| 5 | 2022 | 100 | |
| 6 | 2011 | 93 | |
| 7 | 2015 | 86 | |
| 8 | 2015 | 85 | |
| 9 | 2019 | 66 | |
| 10 | 2014 | 60 | |
| 11 | 2017 | 56 | |
| 12 | 2013 | 54 | |
| 13 | 2011 | 48 | |
| 14 | 2012 | 48 | |
| 15 | 2011 | 45 | |
| 16 | 2018 | 43 | |
| 17 | 2011 | 41 | |
| 18 | 2022 | 36 | |
| 19 | 2012 | 33 | |
| 20 | 2023 | 33 |
About Fa Cui
Fa Cui is a scholar working on Plant Science, Genetics, Molecular Biology, Endocrine and Autonomic Systems and Agronomy and Crop Science, having authored 74 papers that have together received 2k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (63 papers), Plant Molecular Biology Research (6 papers), Plant Genetic and Mutation Studies (2 papers), Plant Gene Expression Analysis (2 papers), Genetic and phenotypic traits in livestock (2 papers), Plant nutrient uptake and metabolism (2 papers), Epigenetics and DNA Methylation (1 paper) and Crop Yield and Soil Fertility (1 paper). The work is most often cited by research in Plant Science (1.8k citations), Genetics (192 citations), Agronomy and Crop Science (38 citations), Molecular Biology (119 citations) and Endocrine and Autonomic Systems (8 citations). Fa Cui has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Honggang Wang, Chunhua Zhao, Anming Ding, Xingfeng Li, Yinguang Bao, Chunhua Zhao, Jun‐Yuan Ji, Xiaoli Fan, Junming Li and Jun Li. Their work appears in journals such as Theoretical and Applied Genetics, Euphytica, Frontiers in Plant Science, Journal of Integrative Agriculture and BMC Plant Biology.
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.