Kui Wu

27.3k citations
91 papers · 1.3k · h-index 22

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

Kui Wu

83 papers receiving 1.3k citations

Peers

Kui Wu
Comparison fields: 5 of 130
  • Cancer Research 246
  • Oncology 295
  • Computer Vision and Pattern Recognition 162
  • Immunology 127
  • Pulmonary and Respiratory Medicine 178
Replace Shu Wang with:
Shu Wang China
Daisuke Komura Japan
Li Sun China
Wei Fan China
Javad Beheshti United States
Masaaki Oka Japan
Koichi Takagi Japan
Mihir R. Patel United States
Zhenqiu Liu United States
Gao Guo United States
Kui Wu relative to Shu Wang China Shu Wang's profile →
Citations per field
00.5×1.5×
Shu Wang · 1×
Citations per year

Countries citing papers authored by Kui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 201782
3
IL-10-producing type 1 regulatory T cells and allergy.
200779
4 201574
5 201661
6 202259
7 200651
8 202343
9 202143
10 201941
11 201039
12 202133
13 202131
14 200829
15 201627
16 201927
17 200527
18 201726
19 202126
20 202025

About Kui Wu

Kui Wu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Oncology, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Advanced Image and Video Retrieval Techniques (11 papers), Lung Cancer Treatments and Mutations (11 papers), RNA modifications and cancer (8 papers), Image Retrieval and Classification Techniques (8 papers), Immunotherapy and Immune Responses (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Cancer Research (246 citations), Oncology (295 citations), Computer Vision and Pattern Recognition (162 citations), Immunology (127 citations) and Pulmonary and Respiratory Medicine (178 citations). Kui Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kim–Hui Yap, Fuqiang Li, Changzheng Wang, Kun Sun, Jianxing He, Dakai Xiao, Tao Chen, Hui Pan, Zhen Li and Qiang Pan‐Hammarström. Their work appears in journals such as Frontiers in Oncology, Oncotarget, Heliyon, Journal of Clinical Oncology and Communications Biology.

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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