Xiaoli Wu
Impact in
- Soil Science top 10%
- Irrigation Practices and Water Management
- Agronomy and Crop Science top 10%
- Crop Yield and Soil Fertility
Papers in
-
- Rice Cultivation and Yield Improvement 6
- Plant responses to water stress 5
- Plant responses to elevated CO2 2
- Plant nutrient uptake and metabolism 2
-
- Crop Yield and Soil Fertility 5
- Co-authors
- Chaosu Li (8 shared papers)Chun Wu (6 shared papers)Yonglu Tang (5 shared papers)Yan Zhong (1 shared paper)Gang Huang (3 shared papers)A. D. McHugh (3 shared papers)Bin Xu (1 shared paper)Jian Xu (1 shared paper)
- Journals
- Plant Production Science (4 papers)Science Advances (1 paper)Frontiers in Neuroscience (1 paper)Basic & Clinical Pharmacology & Toxicology (1 paper)Agronomy Journal (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoli Wu
19 papers receiving 420 citations
Peers
Comparison fields: 5 of 84
- Soil Science 73
- Agronomy and Crop Science 72
- Plant Science 241
- Biological Psychiatry 14
- Behavioral Neuroscience 18
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 | 56 | |
| 2 | 2014 | 55 | |
| 3 | 2015 | 51 | |
| 4 | 2019 | 45 | |
| 5 | 2009 | 36 | |
| 6 | 2018 | 36 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2016 | 24 | |
| 10 | 2013 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2016 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2025 | 2 | |
| 18 | [Effect of waterlogging on physical traits and yield of wheat in Sichuan, China]. | 2015 | 1 |
| 19 | [Cloning and bioinformatics analysis of SLA-DR genes in Hunan Daweizi pigs]. | 2009 | 1 |
About Xiaoli Wu
Xiaoli Wu is a scholar working on Plant Science, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Soil Science and Complementary and alternative medicine, having authored 19 papers that have together received 430 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), Acupuncture Treatment Research Studies (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Plant responses to elevated CO2 (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Soil Science (73 citations), Agronomy and Crop Science (72 citations), Plant Science (241 citations), Biological Psychiatry (14 citations) and Behavioral Neuroscience (18 citations). Xiaoli Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chaosu Li, Chun Wu, Yonglu Tang, Yan Zhong, Gang Huang, A. D. McHugh, Bin Xu, Jian Xu, Wei Li and Ming Li. Their work appears in journals such as Plant Production Science, Science Advances, Frontiers in Neuroscience, Basic & Clinical Pharmacology & Toxicology 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.