Shaobin Wu

1.1k citations
22 papers · 845 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Colorectal Cancer Surgical Treatments

Papers in

Shaobin Wu

21 papers receiving 829 citations

Peers

Shaobin Wu
Comparison fields: 5 of 85
  • Cancer Research 278
  • Oncology 226
  • Molecular Biology 421
  • Cellular and Molecular Neuroscience 76
  • Pulmonary and Respiratory Medicine 90
Replace Mariusz Adam Goscinski with:
Mariusz Adam Goscinski Norway
Andy Göbel Germany
Masahiko Tanabe Japan
Ola Hadadeh Lebanon
Ravi Ramjeesingh Canada
Astrid Pornon France
Qin Xu China
Jianhui Ma China
Kathryn N. Phoenix United States
Qinqin Xu China
Shaobin Wu relative to Mariusz Adam Goscinski Norway Mariusz Adam Goscinski's profile →
Citations per field
00.5×2×3.3×
Mariusz Adam Goscinski · 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 2020136
2 2011106
3 202084
4 201370
5 200860
6 201955
7 201952
8 201146
9 202043
10 200941
11 201039
12 200832
13 201523
14 201412
15 200811
16 201910
17
Genetic diversity analysis of Macaca thibetana based on mitochondrial DNA control region sequences.
20088
18 20217
19 20086
20 20172

About Shaobin Wu

Shaobin Wu is a scholar working on Cancer Research, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Molecular Biology and Oncology, having authored 22 papers that have together received 845 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Cancer Mechanisms and Therapy (2 papers), Primate Behavior and Ecology (2 papers), RNA Research and Splicing (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Congenital Diaphragmatic Hernia Studies (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Cancer Research (278 citations), Oncology (226 citations), Molecular Biology (421 citations), Cellular and Molecular Neuroscience (76 citations) and Pulmonary and Respiratory Medicine (90 citations). Shaobin Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhikang Chen, Jie Ge, Zihua Chen, Weijie Yuan, Jin-Xiang Chen, Xianwei Wang, Jinxiang Chen, Yuxiang Chen, Futao Hou and Peiqing Liu. Their work appears in journals such as OncoTargets and Therapy, Cell Communication and Signaling, Digestive Diseases and Sciences, Journal of Trace Elements in Medicine and Biology and Surgery Today.

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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