Wen Bu

2.1k citations
32 papers · 1.2k · h-index 17

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Wnt/β-catenin signaling in development and cancer 6
    • CRISPR and Genetic Engineering 3
    • Cancer Cells and Metastasis 12
    • Cytokine Signaling Pathways and Interactions 5
    • HER2/EGFR in Cancer Research 4

Wen Bu

32 papers receiving 1.1k citations

Peers

Wen Bu
Comparison fields: 5 of 85
  • Cancer Research 320
  • Oncology 555
  • Molecular Biology 673
  • Immunology 182
  • Neurology 60
Replace Haineng Xu with:
Haineng Xu China
Qiang Zou China
Oriol de Barrios Spain
Harald J. Maier Germany
Teruaki Fujishita Japan
Jay Sharma United States
Beata Pyrzyńska Poland
Regan M. Memmott United States
Véronique Gire France
Wen Bu relative to Haineng Xu China Haineng Xu's profile →
Citations per field
00.5×1.5×1.9×
Haineng Xu · 1×
Citations per year

Countries citing papers authored by Wen Bu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012219
2 2012101
3 201494
4 201088
5 201782
6 200777
7 201853
8 201046
9 201143
10 201542
11 200637
12 201535
13 200835
14 200932
15 201831
16
Effects of matrix metalloproteinase inhibitor BB-94 on liver cancer growth and metastasis in a patient-like orthotopic model LCI-D20.
199829
17 201323
18 202012
19 202311
20 201611

About Wen Bu

Wen Bu is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Biotechnology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (12 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Virus-based gene therapy research (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), HER2/EGFR in Cancer Research (4 papers), Animal Genetics and Reproduction (4 papers), Cancer Research and Treatments (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (320 citations), Oncology (555 citations), Molecular Biology (673 citations), Immunology (182 citations) and Neurology (60 citations). Wen Bu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Yi Li, Jeffrey M. Rosen, Bart O. Williams, Charlotta Lindvall, Susan G. Hilsenbeck, Zhimin Lu, Weiwei Yang, Yanhua Zheng, Lin Zhang and Paul J. Chiao. Their work appears in journals such as PLoS ONE, Breast Cancer Research, Journal of Mammary Gland Biology and Neoplasia, Oncogene and Proceedings of the National Academy of Sciences.

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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