Yi Tu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Metabolism, Diabetes, and Cancer 2
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- Gastric Cancer Management and Outcomes 5
- Co-authors
- Feng Yao (7 shared papers)Yulin Xu (5 shared papers)Xiaoli Yao (6 shared papers)Xinghua Zhang (3 shared papers)Shengrong Sun (17 shared papers)Liqing Zhang (8 shared papers)Dawei Cheng (8 shared papers)Huaxiong Wang (1 shared paper)
- Journals
- Frontiers in Oncology (5 papers)BMC Surgery (2 papers)Cell Death and Disease (2 papers)Scientific Reports (2 papers)Rice (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yi Tu
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 184
- Molecular Biology 357
- Oncology 126
- Aging 8
- Immunology 83
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 128 | |
| 2 | 2020 | 112 | |
| 3 | 2014 | 82 | |
| 4 | 2021 | 67 | |
| 5 | Endoplasmic reticulum stress confers 5-fluorouracil resistance in breast cancer cell via the GRP78/OCT4/lncRNA MIAT/AKT pathway. | 2020 | 50 |
| 6 | 2019 | 40 | |
| 7 | 2021 | 38 | |
| 8 | 2020 | 35 | |
| 9 | 2015 | 28 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2012 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2019 | 19 | |
| 17 | The effect of genome duplication on seed germination and seedling growth of rice under salt stress | 2013 | 18 |
| 18 | 2021 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2021 | 17 |
About Yi Tu
Yi Tu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Oncology and Artificial Intelligence, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Gastric Cancer Management and Outcomes (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), HER2/EGFR in Cancer Research (3 papers), Financial Distress and Bankruptcy Prediction (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (184 citations), Molecular Biology (357 citations), Oncology (126 citations), Aging (8 citations) and Immunology (83 citations). Yi Tu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Feng Yao, Yulin Xu, Xiaoli Yao, Xinghua Zhang, Shengrong Sun, Liqing Zhang, Dawei Cheng, Huaxiong Wang, Ding Wang and Chenyu Wang. Their work appears in journals such as Frontiers in Oncology, BMC Surgery, Cell Death and Disease, Scientific Reports and Rice.
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.