Fa Cui
Impact in
- Plant Science top 1%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant nutrient uptake and metabolism
- Plant Disease Resistance and Genetics
- Rice Cultivation and Yield Improvement
- Plant Molecular Biology Research
- Agronomy and Crop Science top 2%
- Crop Yield and Soil Fertility
Papers in ⓘ
-
- Wheat and Barley Genetics and Pathology 54
- Genetics and Plant Breeding 33
- Plant Disease Resistance and Genetics 11
- Plant nutrient uptake and metabolism 5
- Rice Cultivation and Yield Improvement 4
- Plant Molecular Biology Research 3
- Genetics 46
- Genetic Mapping and Diversity in Plants and Animals 46
- Co-authors
- Honggang Wang (20 shared papers)Chunhua Zhao (27 shared papers)Anming Ding (14 shared papers)Xingfeng Li (11 shared papers)Yinguang Bao (11 shared papers)Jun‐Yuan Ji (16 shared papers)Chunhua Zhao (23 shared papers)Xiaoli Fan (12 shared papers)
In The Last Decade
Fa Cui
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 54
- Plant Science 1.5k
- Agronomy and Crop Science 400
- Genetics 970
- Horticulture 4
- Molecular Biology 145
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 180 | |
| 2 | 2013 | 147 | |
| 3 | 2011 | 136 | |
| 4 | 2020 | 87 | |
| 5 | 2011 | 87 | |
| 6 | 2015 | 79 | |
| 7 | 2015 | 73 | |
| 8 | 2019 | 58 | |
| 9 | 2017 | 56 | |
| 10 | 2014 | 51 | |
| 11 | 2013 | 43 | |
| 12 | 2012 | 43 | |
| 13 | 2011 | 43 | |
| 14 | 2011 | 39 | |
| 15 | 2011 | 37 | |
| 16 | 2018 | 36 | |
| 17 | 2022 | 32 | |
| 18 | 2012 | 30 | |
| 19 | 2018 | 25 | |
| 20 | 2009 | 24 |
About Fa Cui
Fa Cui is a scholar working on Plant Science, Genetics, Agronomy and Crop Science, Molecular Biology and Nutrition and Dietetics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (54 papers), Genetic Mapping and Diversity in Plants and Animals (46 papers), Genetics and Plant Breeding (33 papers), Crop Yield and Soil Fertility (17 papers), Plant Disease Resistance and Genetics (11 papers), Plant nutrient uptake and metabolism (5 papers), Rice Cultivation and Yield Improvement (4 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Plant Science (1.5k citations), Agronomy and Crop Science (400 citations), Genetics (970 citations), Horticulture (4 citations) and Molecular Biology (145 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, Jun‐Yuan Ji, Chunhua Zhao, Xiaoli Fan, Junming Li and Jun Li. Their work appears in journals such as Theoretical and Applied Genetics, Euphytica, Frontiers in Plant Science, Scientific Reports and Plant Molecular Biology Reporter.
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.