Xiaoli Wu
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Photoacoustic and Ultrasonic Imaging 2
- Nanoplatforms for cancer theranostics 2
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- Thyroid Cancer Diagnosis and Treatment 4
- Co-authors
- Jiarui Du (3 shared papers)Dengke Teng (3 shared papers)Hui Wang (2 shared papers)Xiaoli Wang (1 shared paper)Xiaoyi Zhang (1 shared paper)Xiaoping Zhang (1 shared paper)Jie Yuan (1 shared paper)Tong Yin (1 shared paper)
- Journals
- Toxins (2 papers)Scientific Reports (2 papers)Journal of Medicinal Chemistry (1 paper)Environmental Toxicology and Pharmacology (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Xiaoli Wu
21 papers receiving 454 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 200
- Health Information Management 7
- Health Informatics 2
- Cancer Research 18
- Biotechnology 11
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 175 | |
| 2 | 2020 | 61 | |
| 3 | 2019 | 43 | |
| 4 | 2022 | 33 | |
| 5 | 2020 | 24 | |
| 6 | 2014 | 21 | |
| 7 | Chinese medicine Tongxinluo reduces atherosclerotic lesion by attenuating oxidative stress and inflammation in microvascular endothelial cells. | 2015 | 16 |
| 8 | 2020 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Xiaoli Wu
Xiaoli Wu is a scholar working on Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Molecular Biology, having authored 23 papers that have together received 460 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Mycotoxins in Agriculture and Food (2 papers), Nanoplatforms for cancer theranostics (2 papers), DNA Repair Mechanisms (1 paper), Green IT and Sustainability (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (200 citations), Health Information Management (7 citations), Health Informatics (2 citations), Cancer Research (18 citations) and Biotechnology (11 citations). Xiaoli Wu has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Jiarui Du, Dengke Teng, Hui Wang, Xiaoli Wang, Xiaoyi Zhang, Xiaoping Zhang, Jie Yuan, Tong Yin, Xiaohui Zhu and Zhiqiang Lu. Their work appears in journals such as Toxins, Scientific Reports, Journal of Medicinal Chemistry, Environmental Toxicology and Pharmacology and BMJ Open.
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.