Wanming Hu

1.5k citations
78 papers · 944 · h-index 17

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer Immunotherapy and Biomarkers 10
    • Inflammatory Biomarkers in Disease Prognosis 5
    • Glioma Diagnosis and Treatment 24

Wanming Hu

72 papers receiving 935 citations

Peers

Wanming Hu
Comparison fields: 5 of 87
  • Oncology 417
  • Genetics 158
  • Cancer Research 158
  • Immunology 192
  • Hepatology 49
Replace Laura Mariuzzi with:
Laura Mariuzzi Italy
Roberta Depenni Italy
Tsutomu Iwasa Japan
Fuquan Zhang China
Robyn D. Gartrell United States
Triantafyllia Κoletsa Greece
Oliver Bechter Belgium
Daniela Medicina Italy
Changqing Ma United States
Adina Figl Germany
Wanming Hu relative to Laura Mariuzzi Italy Laura Mariuzzi's profile →
Citations per field
00.5×1.6×
Laura Mariuzzi · 1×
Citations per year

Countries citing papers authored by Wanming Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wanming Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201863
3 201956
4 201655
5 202136
6 201935
7 201532
8
IL13RA2 is overexpressed in malignant gliomas and related to clinical outcome of patients.
202030
9 202026
10 202123
11 201923
12 202122
13 201822
14 202021
15 201818
16 202017
17 202217
18 202116
19 201616
20 201815

About Wanming Hu

Wanming Hu is a scholar working on Oncology, Genetics, Molecular Biology, Surgery and Neurology, having authored 78 papers that have together received 944 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Cancer Immunotherapy and Biomarkers (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Neuroblastoma Research and Treatments (7 papers), Immune cells in cancer (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Oncology (417 citations), Genetics (158 citations), Cancer Research (158 citations), Immunology (192 citations) and Hepatology (49 citations). Wanming Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanzhong Yang, Jing Zeng, Wenzhuo He, Liangping Xia, Chang Jiang, Lin Yang, Pengfei Kong, Qiankun Xie, Ke Sai and Shaoyan Xi. Their work appears in journals such as Frontiers in Oncology, Journal of Translational Medicine, Cancer Management and Research, Journal of Cancer and World Neurosurgery.

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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