Xiaoli Wu
Impact in
- Soil Science top 10%
- Irrigation Practices and Water Management
Papers in ⓘ
-
- Rice Cultivation and Yield Improvement 6
- Plant responses to water stress 5
- Wheat and Barley Genetics and Pathology 2
- Plant nutrient uptake and metabolism 2
- Plant responses to elevated CO2 2
-
- Crop Yield and Soil Fertility 5
- Co-authors
- Chaosu Li (8 shared papers)Chun Wu (6 shared papers)Yonglu Tang (5 shared papers)Gang Huang (3 shared papers)Yan Zhong (1 shared paper)A. D. McHugh (3 shared papers)Bin Xu (1 shared paper)Wei Li (1 shared paper)
- Journals
- Plant Production Science (4 papers)Field Crops Research (1 paper)Frontiers in Neuroscience (1 paper)Science Advances (1 paper)Agronomy Journal (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoli Wu
18 papers receiving 388 citations
Peers
Comparison fields: 5 of 88
- Soil Science 70
- Biological Psychiatry 18
- Behavioral Neuroscience 25
- Agronomy and Crop Science 71
- Plant Science 222
Countries citing papers authored by Xiaoli Wu
This map shows the geographic impact of Xiaoli Wu'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 Xiaoli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Wu more than expected).
Fields of papers citing papers by Xiaoli Wu
This network shows the impact of papers produced by Xiaoli Wu. 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 Xiaoli Wu. The network helps show where Xiaoli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Wu, 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 | 2017 | 54 | |
| 2 | 2014 | 49 | |
| 3 | 2015 | 48 | |
| 4 | 2019 | 45 | |
| 5 | 2009 | 33 | |
| 6 | 2018 | 32 | |
| 7 | 2021 | 24 | |
| 8 | 2016 | 24 | |
| 9 | 2022 | 22 | |
| 10 | 2013 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2016 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2019 | 3 | |
| 17 | [Effect of waterlogging on physical traits and yield of wheat in Sichuan, China]. | 2015 | 1 |
| 18 | [Cloning and bioinformatics analysis of SLA-DR genes in Hunan Daweizi pigs]. | 2009 | 1 |
| 19 | 2025 | 0 |
About Xiaoli Wu
Xiaoli Wu is a scholar working on Plant Science, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Soil Science and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 395 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (6 papers), Crop Yield and Soil Fertility (5 papers), Plant responses to water stress (5 papers), Agriculture, Soil, Plant Science (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Plant nutrient uptake and metabolism (2 papers), Plant responses to elevated CO2 (2 papers) and Acupuncture Treatment Research Studies (2 papers). The work is most often cited by research in Soil Science (70 citations), Biological Psychiatry (18 citations), Behavioral Neuroscience (25 citations), Agronomy and Crop Science (71 citations) and Plant Science (222 citations). Xiaoli Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chaosu Li, Chun Wu, Yonglu Tang, Gang Huang, Yan Zhong, A. D. McHugh, Bin Xu, Wei Li, Jian Xu and Yongjun Chen. Their work appears in journals such as Plant Production Science, Field Crops Research, Frontiers in Neuroscience, Science Advances and Agronomy Journal.
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.