Shaobin Wu

1.1k citations
22 papers · 722 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation

Papers in

Shaobin Wu

21 papers receiving 713 citations

Peers

Shaobin Wu
Comparison fields: 5 of 81
  • Cancer Research 273
  • Molecular Biology 428
  • Cellular and Molecular Neuroscience 106
  • Oncology 104
  • Cell Biology 54
Replace Shuangyin Han with:
Shuangyin Han China
Yang Luo China
Giuseppina D’Andrilli Italy
Hongwei Luo China
Guolin Tan China
Weihao Lin China
Aditi Bapat United States
Xiuzhi Duan China
Dongdong Tong China
Xiaobo Yang China
Shaobin Wu relative to Shuangyin Han China Shuangyin Han's profile →
Citations per field
00.5×1.5×1.8×
Shuangyin Han · 1×
Citations per year

Countries citing papers authored by Shaobin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaobin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011100
2 202079
3 201367
4 200859
5 201955
6 201952
7 201143
8 200843
9 200941
10 202040
11 201036
12 200831
13 201523
14 201412
15 20089
16 20198
17
Genetic diversity analysis of Macaca thibetana based on mitochondrial DNA control region sequences.
20088
18 20217
19 20085
20 20102

About Shaobin Wu

Shaobin Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 22 papers that have together received 722 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (3 papers), Genomics and Phylogenetic Studies (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cancer Mechanisms and Therapy (2 papers), Primate Behavior and Ecology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (273 citations), Molecular Biology (428 citations), Cellular and Molecular Neuroscience (106 citations), Oncology (104 citations) and Cell Biology (54 citations). Shaobin Wu has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Zhikang Chen, Jie Ge, Zihua Chen, Weijie Yuan, Xianwei Wang, Jin-Xiang Chen, Jinxiang Chen, Futao Hou, Yuxiang Chen and Bin Hu. Their work appears in journals such as OncoTargets and Therapy, Cancer Letters, Biochemical and Biophysical Research Communications, Journal of Trace Elements in Medicine and Biology and International Journal of Radiation 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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