Shu‐Biao Wu

1.7k citations
55 papers · 1.2k indexed · h-index 23
    • MicroRNA in disease regulation 8
    • RNA modifications and cancer 6
    • Cancer-related gene regulation 5
    • Wnt/β-catenin signaling in development and cancer 4
    • RNA Research and Splicing 4
  • Aging top 10%
  • Oncology top 10%
    • Cancer Cells and Metastasis 4
    • Cancer-related Molecular Pathways 4
    • Telomeres, Telomerase, and Senescence 6

Shu‐Biao Wu

52 papers receiving 1.2k citations

Peers

Shu‐Biao Wu
Comparison fields: 5 of 88
  • Cancer Research 457
  • Molecular Biology 841
  • Aging 20
  • Oncology 294
  • Immunology 146
Replace Patricia Castro with:
Patricia Castro United States
Ruben R. Plentz Germany
Nadire Duru United States
Hilla Solomon Israel
Fuqing Hu China
David E. Muench United States
Yan Yu China
Alexa S. Green France
Delphine R. Boulbés United States
Shu‐Biao Wu relative to Patricia Castro United States Patricia Castro's profile →
Citations per field
00.5×2.6×
Patricia Castro · 1×
Citations per year

Countries citing papers authored by Shu‐Biao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Biao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20242
5 20241
6 20241
7 20246
8 20231
9 20232
10 202223
11 202010
12 201917
13 201667
14 201624
15 201516
16 201530
17 201543
18 201521
19 20157
20 201485

About Shu‐Biao Wu

Shu‐Biao Wu is a scholar working on Cancer Research, Immunology and Allergy and Molecular Biology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Telomeres, Telomerase, and Senescence (6 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related Molecular Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (457 citations), Molecular Biology (841 citations) and Aging (20 citations). Shu‐Biao Wu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Libing Song, Jinrong Zhu, Xin Zhang, Chuyong Lin, Fangyong Lei, Liping Ye, Aibin Liu, Junling Liu, Yuanlong Ge and Xi Lin. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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