Xiaoli Wu
- Biomaterials top 2%
- Analytical Chemistry top 1%
- Analytical chemistry methods development 10
- Materials Chemistry top 5%
- Nanocluster Synthesis and Applications 6
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics 8
- Biological Psychiatry top 10%
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- Metal complexes synthesis and properties 10
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- Electrochemical sensors and biosensors 9
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- Ferrocene Chemistry and Applications 9
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- Analytical Chemistry and Chromatography 7
- Molecular Sensors and Ion Detection 7
In The Last Decade
Xiaoli Wu
158 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 156
- Biomaterials 554
- Analytical Chemistry 363
- Materials Chemistry 1.6k
- Biomedical Engineering 1.4k
- Biological Psychiatry 51
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-authorship network
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 | 2024 | 17 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 11 | |
| 5 | 2020 | 46 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 26 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 39 | |
| 12 | 2018 | 55 | |
| 13 | 2017 | 211 | |
| 14 | Improvement of new farmland soil in loess area under different fertilization treatments | 2015 | 1 |
| 15 | 2014 | 25 | |
| 16 | 2013 | 30 | |
| 17 | 2013 | 29 | |
| 18 | Clinical research of rhubarb combining with early enteral nutrition on severe acute pancreatitis | 2011 | 1 |
| 19 | Allelopathic effect of phenolic acids on Phyllostachys edulis seedlings | 2010 | 1 |
| 20 | Physiological mechanism of {\sl Brassica oleracea} var. {\sl botrytis} seedlings to resist black rot | 2006 | 1 |
About Xiaoli Wu
Xiaoli Wu is a scholar working on Biological Psychiatry, Applied Microbiology and Biotechnology, Analytical Chemistry, Pharmacology and Molecular Medicine, having authored 167 papers that have together received 4.5k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (10 papers), Analytical chemistry methods development (10 papers), Electrochemical sensors and biosensors (9 papers), Ferrocene Chemistry and Applications (9 papers), Nanoplatforms for cancer theranostics (8 papers), Analytical Chemistry and Chromatography (7 papers), Molecular Sensors and Ion Detection (7 papers) and Nanocluster Synthesis and Applications (6 papers). The work is most often cited by research in Biomaterials (554 citations), Analytical Chemistry (363 citations), Materials Chemistry (1.6k citations), Biomedical Engineering (1.4k citations) and Biological Psychiatry (51 citations). Xiaoli Wu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Fangqiong Tang, Longfei Tan, Huiyu Liu, Tianlong Liu, Yongqiang Ma, Dong Chen, Lin Li, Yang Song, Chengzhou Zhu and Dan Du. Their work appears in journals such as Food & Function, Chemical Engineering Journal, Polyhedron, Frontiers in Pharmacology and Evidence-based Complementary and Alternative Medicine.
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.