Weijun Ou
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Advanced Biosensing Techniques and Applications 2
- RNA Research and Splicing 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Yakun Wan (5 shared papers)Junrong Yan (3 shared papers)Yonghong Hu (3 shared papers)Rohit S. Mulik (1 shared paper)Ian R. Corbin (2 shared papers)Xiao‐Shun He (1 shared paper)Jeffrey G. McDonald (1 shared paper)Shaoli Li (5 shared papers)
- Journals
- Pharmaceutics (2 papers)Oncogene (2 papers)Journal of Translational Medicine (2 papers)Journal of Neuroinflammation (1 paper)Nanoscale Research Letters (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weijun Ou
33 papers receiving 912 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 148
- Radiology, Nuclear Medicine and Imaging 170
- Biological Psychiatry 18
- Neurology 57
- Molecular Biology 441
Countries citing papers authored by Weijun Ou
This map shows the geographic impact of Weijun Ou'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 Weijun Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Ou more than expected).
Fields of papers citing papers by Weijun Ou
This network shows the impact of papers produced by Weijun Ou. 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 Weijun Ou. The network helps show where Weijun Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijun Ou, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 146 | |
| 2 | 2015 | 94 | |
| 3 | 2014 | 90 | |
| 4 | 2016 | 73 | |
| 5 | 2014 | 72 | |
| 6 | 2013 | 63 | |
| 7 | 2020 | 58 | |
| 8 | 2021 | 55 | |
| 9 | 2014 | 38 | |
| 10 | 2014 | 32 | |
| 11 | 2021 | 29 | |
| 12 | 2022 | 26 | |
| 13 | 2017 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2019 | 10 | |
| 19 | PTEN expression is associated with the outcome of lung cancer: evidence from a meta-analysis. | 2016 | 9 |
| 20 | 2024 | 7 |
About Weijun Ou
Weijun Ou is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Physiology and Surgery, having authored 34 papers that have together received 919 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Alzheimer's disease research and treatments (4 papers), Inflammatory Bowel Disease (3 papers), Galectins and Cancer Biology (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Cancer Research (148 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Biological Psychiatry (18 citations), Neurology (57 citations) and Molecular Biology (441 citations). Weijun Ou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yakun Wan, Junrong Yan, Yonghong Hu, Rohit S. Mulik, Ian R. Corbin, Xiao‐Shun He, Jeffrey G. McDonald, Shaoli Li, Songqin Liu and Lixia Huang. Their work appears in journals such as Pharmaceutics, Oncogene, Journal of Translational Medicine, Journal of Neuroinflammation and Nanoscale Research Letters.
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.