Xiaoling Wu

556 citations
7 papers · 278 · 1 hit paper · h-index 4

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Immune cells in cancer
    • Macrophage Migration Inhibitory Factor

Papers in

Xiaoling Wu

7 papers receiving 278 citations

Xiaoling Wu's Hit Papers

CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor 2023 · 209 citations
2090+1+2Years since publication50100150200

Peers

Xiaoling Wu
Comparison fields: 5 of 38
  • Cancer Research 94
  • Immunology 87
  • Hepatology 25
  • Oncology 85
  • Molecular Biology 142
Replace Zhenzhen Zhou with:
Zhenzhen Zhou China
Donger Zhou China
Stephany Fiore France
Hong‐Fei Yao China
Ning Mu China
Xiaoxia Xing China
Zhimin Geng China
Alexandros Pergaris Greece
Liangliang Xu Hong Kong
Xiaoling Wu relative to Zhenzhen Zhou China Zhenzhen Zhou's profile →
Citations per field
00.5×4.1×
Zhenzhen Zhou · 1×
Citations per year

Countries citing papers authored by Xiaoling Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoling Wu Line = papers co-authored together Xiaoling Wu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor
Hit paper breakdown →
2023209
2 202137
3 202423
4 20244
5 20243
6 20251
7 20241

About Xiaoling Wu

Xiaoling Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Cancer Research and Neurology, having authored 7 papers that have together received 278 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Cancer, Lipids, and Metabolism (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Cancer Research (94 citations), Immunology (87 citations), Hepatology (25 citations), Oncology (85 citations) and Molecular Biology (142 citations). Xiaoling Wu has collaborated with scholars based in China, Ethiopia and India. Frequent co-authors include Ying‐Hong Shi, Jun Gao, Chenyang Tao, Yuan Fang, Duojiao Wu, Wei‐Feng Qu, Jian Zhou, Run Huang, Jia Fan and Zheng Tang. Their work appears in journals such as Acta Neuropathologica, Cell Discovery, Experimental Cell Research, Cell Biology and Toxicology and BMC 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.

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