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
-
- Crop Yield and Soil Fertility 6
-
- Rice Cultivation and Yield Improvement 6
- Plant responses to water stress 5
- Wheat and Barley Genetics and Pathology 2
- Co-authors
- Chaosu Li (10 shared papers)Chun Te Wu (6 shared papers)Yonglu Tang (6 shared papers)Liping Gan (1 shared paper)Yan Zhong (1 shared paper)Gang Huang (3 shared papers)A. D. McHugh (3 shared papers)Jian Xu (1 shared paper)
- Journals
- Plant Production Science (4 papers)Agronomy Journal (1 paper)Basic & Clinical Pharmacology & Toxicology (1 paper)Soil and Tillage Research (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaoli Wu
18 papers receiving 430 citations
Peers
Comparison fields: 5 of 84
- Soil Science 76
- Agronomy and Crop Science 72
- Plant Science 246
- 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 | 58 | |
| 2 | 2014 | 56 | |
| 3 | 2015 | 53 | |
| 4 | 2019 | 46 | |
| 5 | 2018 | 38 | |
| 6 | 2009 | 37 | |
| 7 | 2021 | 27 | |
| 8 | 2022 | 25 | |
| 9 | 2016 | 24 | |
| 10 | 2013 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 4 | |
| 15 | 2014 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2025 | 2 | |
| 18 | [Effect of waterlogging on physical traits and yield of wheat in Sichuan, China]. | 2015 | 1 |
| 19 | 2025 | 0 |
About Xiaoli Wu
Xiaoli Wu is a scholar working on Agronomy and Crop Science, Plant Science, Soil Science, Ecology, Evolution, Behavior and Systematics and Complementary and alternative medicine, having authored 19 papers that have together received 442 indexed citations. Recurring topics across this work include Crop Yield and Soil Fertility (6 papers), Rice Cultivation and Yield Improvement (6 papers), Plant responses to water stress (5 papers), Agriculture, Soil, Plant Science (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Acupuncture Treatment Research Studies (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Irrigation Practices and Water Management (2 papers). The work is most often cited by research in Soil Science (76 citations), Agronomy and Crop Science (72 citations), Plant Science (246 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 Te Wu, Yonglu Tang, Liping Gan, Yan Zhong, Gang Huang, A. D. McHugh, Jian Xu, Wei Li and Bin Xu. Their work appears in journals such as Plant Production Science, Agronomy Journal, Basic & Clinical Pharmacology & Toxicology, Soil and Tillage Research and Frontiers in 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.