Xiaoling Wu
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Immune cells in cancer
- Macrophage Migration Inhibitory Factor
Papers in
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- Genetic Neurodegenerative Diseases 2
- Neuroscience and Neural Engineering 1
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- Ion channel regulation and function 1
- Co-authors
- Zheng Tang (4 shared papers)Run Huang (3 shared papers)Jia Fan (3 shared papers)Jian Zhou (3 shared papers)Yuan Fang (3 shared papers)Ying–Hong Shi (4 shared papers)Wei‐Feng Qu (4 shared papers)Jun Gao (2 shared papers)
- Journals
- Acta Neuropathologica (2 papers)Science Advances (1 paper)Seizure (1 paper)BMC Medicine (1 paper)Hepatology International (1 paper)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Xiaoling Wu
9 papers receiving 329 citations
Xiaoling Wu's Hit Papers
Peers
Comparison fields: 5 of 36
- Cancer Research 88
- Immunology 79
- Oncology 77
- Hepatology 22
- Cellular and Molecular Neuroscience 39
Countries citing papers authored by Xiaoling Wu
This map shows the geographic impact of Xiaoling 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 Xiaoling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Wu more than expected).
Fields of papers citing papers by Xiaoling Wu
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Wu. The network helps show where Xiaoling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling 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 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 236 |
| 2 | 2021 | 43 | |
| 3 | 2024 | 30 | |
| 4 | 2024 | 7 | |
| 5 | 2025 | 4 | |
| 6 | 2025 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2023 | 0 |
About Xiaoling Wu
Xiaoling Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Oncology and Immunology, having authored 12 papers that have together received 329 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (2 papers), Immune cells in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Neuroscience and Neural Engineering (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper), Epilepsy research and treatment (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cancer Research (88 citations), Immunology (79 citations), Oncology (77 citations), Hepatology (22 citations) and Cellular and Molecular Neuroscience (39 citations). Xiaoling Wu has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Zheng Tang, Run Huang, Jia Fan, Jian Zhou, Yuan Fang, Ying–Hong Shi, Wei‐Feng Qu, Jun Gao, Duojiao Wu and Chenyang Tao. Their work appears in journals such as Acta Neuropathologica, Science Advances, Seizure, BMC Medicine and Hepatology International.
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.