Mengwan Wu

617 citations
19 papers · 430 · h-index 12

Impact in

    • Inflammatory Biomarkers in Disease Prognosis
    • HER2/EGFR in Cancer Research
    • Pancreatic and Hepatic Oncology Research
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 2
    • HER2/EGFR in Cancer Research 2
    • PI3K/AKT/mTOR signaling in cancer 2

Mengwan Wu

18 papers receiving 426 citations

Peers

Mengwan Wu
Comparison fields: 5 of 62
  • Oncology 166
  • Cancer Research 68
  • Otorhinolaryngology 17
  • Immunology 52
  • Radiology, Nuclear Medicine and Imaging 53
Replace Daniel Bethmann with:
Daniel Bethmann Germany
Ruifei Xie China
Lorenzo Nicolè Italy
Natalie D. ter Hoeve Netherlands
K.J. Niermann United States
Myrto Moutafi United States
Mengwan Wu relative to Daniel Bethmann Germany Daniel Bethmann's profile →
Citations per field
00.5×
Daniel Bethmann · 1×
Citations per year

Countries citing papers authored by Mengwan Wu

Since Specialization
Citations

This map shows the geographic impact of Mengwan 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 Mengwan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengwan Wu more than expected).

Fields of papers citing papers by Mengwan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengwan 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 Mengwan Wu. The network helps show where Mengwan Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mengwan 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 Mengwan Wu Line = papers co-authored together Mengwan Wu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201699
2 201686
3 201552
4 202028
5 202228
6 202327
7 202119
8 202217
9 202415
10 202315
11 202215
12 202411
13 20179
14 20223
15 20202
16 20222
17 20161
18 20141
19 20230

About Mengwan Wu

Mengwan Wu is a scholar working on Oncology, Molecular Biology, Immunology, Otorhinolaryngology and Genetics, having authored 19 papers that have together received 430 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Immunotherapy and Immune Responses (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Immune cells in cancer (2 papers), HER2/EGFR in Cancer Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Oncology (166 citations), Cancer Research (68 citations), Otorhinolaryngology (17 citations), Immunology (52 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Mengwan Wu has collaborated with scholars based in China, Hong Kong and South Sudan. Frequent co-authors include Lihong Guo, Qiang Zuo, Jing Guo, Chuan Xu, Changqie Pan, Sheng Peng, Jing Guo, Jing Liu, Qianying Wu and Ying Shi. Their work appears in journals such as CNS Neuroscience & Therapeutics, Journal of Clinical Oncology, Journal of Hematology & Oncology, Life and Hepatology.

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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