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
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 8
- Circular RNAs in diseases 5
- Mitochondrial Function and Pathology 1
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Yongxin Zhou (10 shared papers)Chenglai Dong (9 shared papers)Zhenchuan Liu (9 shared papers)Kaiqing Wu (3 shared papers)Tingting Wang (1 shared paper)Lei Li (1 shared paper)Yunlang She (1 shared paper)Chang Chen (1 shared paper)
- Journals
- Journal of Experimental & Clinical Cancer Research (2 papers)Annals of Translational Medicine (1 paper)Journal of Translational Medicine (1 paper)Frontiers in Oncology (1 paper)Cell Cycle (1 paper)
- Partner nations
- China
In The Last Decade
Shaorui Gu
16 papers receiving 523 citations
Shaorui Gu's Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 271
- Molecular Biology 425
- Oncology 84
- Immunology 55
- Pulmonary and Respiratory Medicine 66
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 | 267 |
| 2 | 2020 | 69 | |
| 3 | 2021 | 60 | |
| 4 | 2021 | 43 | |
| 5 | 2022 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 1 |
About Shaorui Gu
Shaorui Gu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 16 papers that have together received 527 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Ferroptosis and cancer prognosis (2 papers), Immune cells in cancer (2 papers) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cancer Research (271 citations), Molecular Biology (425 citations), Oncology (84 citations), Immunology (55 citations) and Pulmonary and Respiratory Medicine (66 citations). Shaorui Gu has collaborated with scholars based in China. Frequent co-authors include Yongxin Zhou, Chenglai Dong, Zhenchuan Liu, Kaiqing Wu, Tingting Wang, Lei Li, Yunlang She, Chang Chen, Tiancheng Lu and Wenli Wang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Annals of Translational Medicine, Journal of Translational Medicine, Frontiers in Oncology and Cell Cycle.
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.