Yi Tu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- COVID-19 and healthcare impacts
- Cancer survivorship and care
Papers in
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- RNA modifications and cancer 5
- Circular RNAs in diseases 3
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Yi Cao (11 shared papers)Zhengrong Li (10 shared papers)Chuang Chen (2 shared papers)Zhigang Jie (6 shared papers)Feng Yao (2 shared papers)Shan Xu (4 shared papers)Yifeng Xiong (4 shared papers)Chunliang Wang (4 shared papers)
- Journals
- Bioscience Reports (2 papers)Oncology Reports (2 papers)Cancer Letters (1 paper)Advanced Science (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yi Tu
23 papers receiving 446 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 156
- Oncology 124
- Molecular Biology 197
- Pulmonary and Respiratory Medicine 36
- Clinical Psychology 24
Countries citing papers authored by Yi Tu
This map shows the geographic impact of Yi Tu'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 Yi Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Tu more than expected).
Fields of papers citing papers by Yi Tu
This network shows the impact of papers produced by Yi Tu. 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 Yi Tu. The network helps show where Yi Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Tu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2012 | 88 | |
| 3 | 2016 | 43 | |
| 4 | 2018 | 35 | |
| 5 | 2022 | 26 | |
| 6 | 2016 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2019 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2013 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | The Effects of Silencing the Her2 Gene on Proliferation and Angiogenesis of Meningioma Cells in vivo and in vitro. | 2018 | 3 |
About Yi Tu
Yi Tu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 24 papers that have together received 450 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Ferroptosis and cancer prognosis (3 papers), Circular RNAs in diseases (3 papers), Meningioma and schwannoma management (3 papers), interferon and immune responses (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (156 citations), Oncology (124 citations), Molecular Biology (197 citations), Pulmonary and Respiratory Medicine (36 citations) and Clinical Psychology (24 citations). Yi Tu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yi Cao, Zhengrong Li, Chuang Chen, Zhigang Jie, Feng Yao, Shan Xu, Yifeng Xiong, Chunliang Wang, Sung Soo Park and Junhe Li. Their work appears in journals such as Bioscience Reports, Oncology Reports, Cancer Letters, Advanced Science and Medicine.
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.