Shaobo Wu
Impact in
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- MicroRNA in disease regulation
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- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
- Genomics and Chromatin Dynamics
- Plant Reproductive Biology
Papers in
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- Plant Reproductive Biology 4
- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Kenneth B. Storey (5 shared papers)David J. Picketts (2 shared papers)Ramin Shiekhattar (1 shared paper)Hongtu Liu (1 shared paper)Xiaolu Yang (1 shared paper)Jun Tang (1 shared paper)Orr Barak (1 shared paper)Roy Duncan (1 shared paper)
- Journals
- Scientific Reports (4 papers)Journal of Molecular Modeling (2 papers)Frontiers in Immunology (2 papers)Journal of Cancer (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Shaobo Wu
64 papers receiving 876 citations
Peers
Comparison fields: 5 of 111
- Cancer Research 99
- Molecular Biology 467
- Aging 9
- Genetics 135
- Infectious Diseases 65
Countries citing papers authored by Shaobo Wu
This map shows the geographic impact of Shaobo 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 Shaobo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaobo Wu more than expected).
Fields of papers citing papers by Shaobo Wu
This network shows the impact of papers produced by Shaobo 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 Shaobo Wu. The network helps show where Shaobo Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaobo Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 153 | |
| 2 | 2019 | 51 | |
| 3 | 1996 | 51 | |
| 4 | 2015 | 48 | |
| 5 | 2007 | 41 | |
| 6 | 2002 | 37 | |
| 7 | 2017 | 37 | |
| 8 | 2008 | 31 | |
| 9 | 2019 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2005 | 24 | |
| 12 | 2007 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2008 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2021 | 14 | |
| 19 | 2024 | 13 | |
| 20 | 2023 | 13 |
About Shaobo Wu
Shaobo Wu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Physiology and Ecology, having authored 68 papers that have together received 886 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (5 papers), Cancer-related molecular mechanisms research (5 papers), Ferroptosis and cancer prognosis (5 papers), Adipose Tissue and Metabolism (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Plant Reproductive Biology (4 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (99 citations), Molecular Biology (467 citations), Aging (9 citations), Genetics (135 citations) and Infectious Diseases (65 citations). Shaobo Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Kenneth B. Storey, David J. Picketts, Ramin Shiekhattar, Hongtu Liu, Xiaolu Yang, Jun Tang, Orr Barak, Roy Duncan, Stephen R. Walsh and Zhaoxia Chen. Their work appears in journals such as Scientific Reports, Journal of Molecular Modeling, Frontiers in Immunology, Journal of Cancer and Frontiers in 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.