Shaorui Gu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA Research and Splicing
Papers in
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- Cancer-related molecular mechanisms research 3
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 2
- Co-authors
- Yongxin Zhou (9 shared papers)Chenglai Dong (8 shared papers)Zhenchuan Liu (8 shared papers)Kaiqing Wu (3 shared papers)Lei Li (1 shared paper)Tingting Wang (1 shared paper)Chang Chen (1 shared paper)Yunlang She (1 shared paper)
- Journals
- Journal of Experimental & Clinical Cancer Research (2 papers)Clinical and Translational Medicine (1 paper)Journal of Cancer (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Shaorui Gu
15 papers receiving 572 citations
Shaorui Gu's Hit Papers
Peers
Comparison fields: 5 of 58
- Cancer Research 225
- Molecular Biology 416
- Oncology 73
- Immunology 50
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Shaorui Gu
This map shows the geographic impact of Shaorui Gu'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 Shaorui Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaorui Gu more than expected).
Fields of papers citing papers by Shaorui Gu
This network shows the impact of papers produced by Shaorui Gu. 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 Shaorui Gu. The network helps show where Shaorui Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaorui Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | N6-methyladenosine-modified circIGF2BP3 inhibits CD8+ T-cell responses to facilitate tumor immune evasion by promoting the deubiquitination of PD-L1 in non-small cell lung cancer Hit paper breakdown → | 2021 | 299 |
| 2 | 2020 | 74 | |
| 3 | 2021 | 63 | |
| 4 | 2021 | 48 | |
| 5 | 2022 | 18 | |
| 6 | 2019 | 15 | |
| 7 | 2020 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2026 | 0 |
About Shaorui Gu
Shaorui Gu is a scholar working on Cancer Research, Molecular Biology, Immunology, Neurology and Cell Biology, having authored 17 papers that have together received 575 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (2 papers), Immune cells in cancer (2 papers), Ferroptosis and cancer prognosis (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Galectins and Cancer Biology (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cancer Research (225 citations), Molecular Biology (416 citations), Oncology (73 citations), Immunology (50 citations) and Pulmonary and Respiratory Medicine (49 citations). Shaorui Gu has collaborated with scholars based in China. Frequent co-authors include Yongxin Zhou, Chenglai Dong, Zhenchuan Liu, Kaiqing Wu, Lei Li, Tingting Wang, Chang Chen, Yunlang She, Tiancheng Lu and Wenli Wang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Clinical and Translational Medicine, Journal of Cancer, Journal of Cellular and Molecular Medicine 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.