Donghui Fu
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Plant Stress Responses and Tolerance
- Biochemistry top 5%
Papers in
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- Chromosomal and Genetic Variations 22
- Plant Disease Resistance and Genetics 19
- Plant Molecular Biology Research 9
- Plant Stress Responses and Tolerance 6
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- Genomics and Phylogenetic Studies 13
- Nitrogen and Sulfur Effects on Brassica 6
- Plant Gene Expression Analysis 4
- Co-authors
- Annaliese S. Mason (26 shared papers)Meili Xiao (23 shared papers)Gang Wu (4 shared papers)Alice Hayward (9 shared papers)Fang Liu (2 shared papers)Jiana Li (15 shared papers)Yunjing Li (2 shared papers)Xinhua Zeng (2 shared papers)
In The Last Decade
Donghui Fu
54 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 90
- Plant Science 1.5k
- Biochemistry 147
- Molecular Biology 1.0k
- Genetics 350
- Horticulture 12
Countries citing papers authored by Donghui Fu
This map shows the geographic impact of Donghui Fu'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 Donghui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghui Fu more than expected).
Fields of papers citing papers by Donghui Fu
This network shows the impact of papers produced by Donghui Fu. 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 Donghui Fu. The network helps show where Donghui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghui Fu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 222 | |
| 2 | 2017 | 120 | |
| 3 | 2014 | 116 | |
| 4 | 2016 | 93 | |
| 5 | 2013 | 82 | |
| 6 | 2013 | 80 | |
| 7 | 2015 | 76 | |
| 8 | 2005 | 72 | |
| 9 | 2011 | 72 | |
| 10 | 2009 | 70 | |
| 11 | 2014 | 61 | |
| 12 | 2019 | 57 | |
| 13 | 2019 | 56 | |
| 14 | 2014 | 55 | |
| 15 | 2017 | 55 | |
| 16 | 2014 | 48 | |
| 17 | 2013 | 45 | |
| 18 | 2015 | 43 | |
| 19 | 2013 | 40 | |
| 20 | 2020 | 38 |
About Donghui Fu
Donghui Fu is a scholar working on Plant Science, Molecular Biology, Genetics, Biochemistry and Pollution, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (22 papers), Plant Disease Resistance and Genetics (19 papers), Genomics and Phylogenetic Studies (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Plant Molecular Biology Research (9 papers), Plant Stress Responses and Tolerance (6 papers), Nitrogen and Sulfur Effects on Brassica (6 papers) and Plant Gene Expression Analysis (4 papers). The work is most often cited by research in Plant Science (1.5k citations), Biochemistry (147 citations), Molecular Biology (1.0k citations), Genetics (350 citations) and Horticulture (12 citations). Donghui Fu has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Annaliese S. Mason, Meili Xiao, Gang Wu, Alice Hayward, Fang Liu, Jiana Li, Yunjing Li, Xinhua Zeng, Changming Lu and Qinghong Zhou. Their work appears in journals such as Planta, Gene, PLoS ONE, Theoretical and Applied Genetics and Euphytica.
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.