Yuanting Gu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 6
- RNA modifications and cancer 5
- RNA Research and Splicing 4
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Guangcheng Guo (5 shared papers)Xin Ge (4 shared papers)Mingzhi Zhu (6 shared papers)Pengwei Lv (3 shared papers)Youyi Xiong (4 shared papers)Xinguang Qiu (2 shared papers)Xue Yang (1 shared paper)Xiaodong Xu (1 shared paper)
In The Last Decade
Yuanting Gu
18 papers receiving 399 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 259
- Molecular Biology 266
- Oncology 51
- Immunology 20
- Pulmonary and Respiratory Medicine 19
Countries citing papers authored by Yuanting Gu
This map shows the geographic impact of Yuanting 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 Yuanting Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanting Gu more than expected).
Fields of papers citing papers by Yuanting Gu
This network shows the impact of papers produced by Yuanting 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 Yuanting Gu. The network helps show where Yuanting Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuanting 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 | 2015 | 72 | |
| 2 | 2018 | 63 | |
| 3 | 2015 | 45 | |
| 4 | 2016 | 39 | |
| 5 | 2018 | 25 | |
| 6 | 2016 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2017 | 22 | |
| 10 | 2022 | 16 | |
| 11 | C/EBPα inhibits proliferation of breast cancer cells via a novel pathway of miR-134/CREB. | 2015 | 14 |
| 12 | lncRNA GHET1 knockdown suppresses breast cancer activity in vitro and in vivo. | 2019 | 11 |
| 13 | 2021 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2020 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2020 | 1 | |
| 19 | 2016 | 0 |
About Yuanting Gu
Yuanting Gu is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Organic Chemistry, having authored 19 papers that have together received 404 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), HER2/EGFR in Cancer Research (2 papers), Cancer Mechanisms and Therapy (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Cancer Research (259 citations), Molecular Biology (266 citations), Oncology (51 citations), Immunology (20 citations) and Pulmonary and Respiratory Medicine (19 citations). Yuanting Gu has collaborated with scholars based in China, Russia and India. Frequent co-authors include Guangcheng Guo, Xin Ge, Mingzhi Zhu, Pengwei Lv, Youyi Xiong, Xinguang Qiu, Xue Yang, Xiaodong Xu, Yunqing Yang and Fang Wang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncology Reports, Cancer Biotherapy and Radiopharmaceuticals, Biochemical and Biophysical Research Communications and Oncotarget.
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.