Ying Fu
Impact in
- Plant Science top 0.2%
- Plant Molecular Biology Research
- Polysaccharides and Plant Cell Walls
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
- Molecular Biology top 1%
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
Papers in
-
- Plant Molecular Biology Research 52
- Plant nutrient uptake and metabolism 17
- Polysaccharides and Plant Cell Walls 13
- Plant Stress Responses and Tolerance 10
-
- Plant Reproductive Biology 37
- Photosynthetic Processes and Mechanisms 19
- Nitrogen and Sulfur Effects on Brassica 9
- Plant tissue culture and regeneration 7
Ying Fu
81 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 98
- Plant Science 4.5k
- Molecular Biology 4.1k
- Cell Biology 573
- Biochemistry 163
- Physiology 94
Countries citing papers authored by Ying Fu
This map shows the geographic impact of Ying 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 Ying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fu more than expected).
Fields of papers citing papers by Ying Fu
This network shows the impact of papers produced by Ying 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 Ying Fu. The network helps show where Ying Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 21 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 25 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 17 | |
| 14 | 2018 | 43 | |
| 15 | 2017 | 141 | |
| 16 | 2017 | 61 | |
| 17 | 2015 | 40 | |
| 18 | Obtaining and Utilization of DH Lines in Pakchoi (Brassica rapa L.ssp.chinensis L.) | 2009 | 3 |
| 19 | 2003 | 137 | |
| 20 | In Vitro Divisions of Unfertilized Central Cells and Other Embryo Sac Cells in Nicotiana tabacum var macrophylla | 1997 | 5 |
About Ying Fu
Ying Fu is a scholar working on Plant Science, Molecular Biology, Biochemistry, Cell Biology and Genetics, having authored 85 papers that have together received 5.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (52 papers), Plant Reproductive Biology (37 papers), Photosynthetic Processes and Mechanisms (19 papers), Plant nutrient uptake and metabolism (17 papers), Polysaccharides and Plant Cell Walls (13 papers), Plant Stress Responses and Tolerance (10 papers), Nitrogen and Sulfur Effects on Brassica (9 papers) and Plant tissue culture and regeneration (7 papers). The work is most often cited by research in Plant Science (4.5k citations), Molecular Biology (4.1k citations), Cell Biology (573 citations), Biochemistry (163 citations) and Physiology (94 citations). Ying Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhenbiao Yang, Hai Li, Ying Gu, Guang Wu, Lei Zhu, Tongda Xu, Geoffrey O. Wasteneys, Zhi‐Liang Zheng, Vanessa Vernoud and Mingzhang Wen. Their work appears in journals such as Journal of Integrative Plant Biology, PLANT PHYSIOLOGY, The Plant Cell, Frontiers in Plant Science and New Phytologist.
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.