Yaping Fu
Impact in
- Plant Science top 1%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Plant-Microbe Interactions and Immunity
- Molecular Biology top 10%
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
Papers in
-
- Plant Molecular Biology Research 17
- Plant Stress Responses and Tolerance 9
- Plant nutrient uptake and metabolism 8
- Plant-Microbe Interactions and Immunity 4
- Plant Pathogenic Bacteria Studies 4
-
- Plant Gene Expression Analysis 9
- Photosynthetic Processes and Mechanisms 9
- Journals
- Rice Science (4 papers)PLoS ONE (4 papers)Planta (3 papers)Molecular Plant (3 papers)Plant Science (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yaping Fu
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Plant Science 1.6k
- Molecular Biology 1.0k
- Genetics 322
- Horticulture 7
- Biotechnology 58
Countries citing papers authored by Yaping Fu
This map shows the geographic impact of Yaping 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 Yaping Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Fu more than expected).
Fields of papers citing papers by Yaping Fu
This network shows the impact of papers produced by Yaping 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 Yaping Fu. The network helps show where Yaping Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaping 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 6 | |
| 4 | 2020 | 6 | |
| 5 | 2019 | 1 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 59 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 27 | |
| 12 | 2015 | 13 | |
| 13 | 2012 | 8 | |
| 14 | 2012 | 9 | |
| 15 | 2011 | 27 | |
| 16 | 2010 | 10 | |
| 17 | 2010 | 55 | |
| 18 | 2009 | 142 | |
| 19 | 2007 | 114 | |
| 20 | Photosynthesis-related characteristics of different ploidy rice plants | 1999 | 7 |
About Yaping Fu
Yaping Fu is a scholar working on Plant Science, Molecular Biology, Biotechnology, Microbiology and Environmental Chemistry, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Plant Gene Expression Analysis (9 papers), Plant Stress Responses and Tolerance (9 papers), Photosynthetic Processes and Mechanisms (9 papers), Plant nutrient uptake and metabolism (8 papers), Plant-Microbe Interactions and Immunity (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Plant Pathogenic Bacteria Studies (4 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (1.0k citations), Genetics (322 citations), Horticulture (7 citations) and Biotechnology (58 citations). Yaping Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zongxiu Sun, Guocheng Hu, Wenzhen Liu, Huamin Si, Chao Wu, Dekai Wang, Yuezhi Tao, Heqin Liu, Kemei Pei and Bin Han. Their work appears in journals such as Rice Science, PLoS ONE, Planta, Molecular Plant and Plant Science.
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.