Qiaoli Yi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- Ferroptosis and cancer prognosis
Papers in
-
- RNA modifications and cancer 5
- Inflammasome and immune disorders 2
- Extracellular vesicles in disease 1
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- Ferroptosis and cancer prognosis 6
- Co-authors
- Yuanliang Yan (15 shared papers)Zhijie Xu (13 shared papers)Qiuju Liang (6 shared papers)Yuanhong Liu (5 shared papers)Abhimanyu Thakur (3 shared papers)Kui Zhang (1 shared paper)Bi Peng (4 shared papers)Shuangshuang Zeng (3 shared papers)
- Journals
- PeerJ (2 papers)Cancer Letters (1 paper)Signal Transduction and Targeted Therapy (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Pharmacological Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Qiaoli Yi
15 papers receiving 468 citations
Qiaoli Yi's Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 171
- Pulmonary and Respiratory Medicine 147
- Molecular Biology 281
- Immunology 40
- Pharmaceutical Science 8
Countries citing papers authored by Qiaoli Yi
This map shows the geographic impact of Qiaoli Yi'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 Qiaoli Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiaoli Yi more than expected).
Fields of papers citing papers by Qiaoli Yi
This network shows the impact of papers produced by Qiaoli Yi. 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 Qiaoli Yi. The network helps show where Qiaoli Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiaoli Yi, 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 | Current understanding of plant-derived exosome-like nanoparticles in regulating the inflammatory response and immune system microenvironment Hit paper breakdown → | 2023 | 155 |
| 2 | 2021 | 139 | |
| 3 | 2021 | 32 | |
| 4 | 2024 | 31 | |
| 5 | 2024 | 27 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2026 | 0 |
About Qiaoli Yi
Qiaoli Yi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Oncology, having authored 17 papers that have together received 472 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), Inflammasome and immune disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers), interferon and immune responses (2 papers), Autophagy in Disease and Therapy (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Cancer Research (171 citations), Pulmonary and Respiratory Medicine (147 citations), Molecular Biology (281 citations), Immunology (40 citations) and Pharmaceutical Science (8 citations). Qiaoli Yi has collaborated with scholars based in China and United States. Frequent co-authors include Yuanliang Yan, Zhijie Xu, Qiuju Liang, Yuanhong Liu, Abhimanyu Thakur, Kui Zhang, Bi Peng, Shuangshuang Zeng, Zhicheng Gong and Xi Chen. Their work appears in journals such as PeerJ, Cancer Letters, Signal Transduction and Targeted Therapy, Frontiers in Bioengineering and Biotechnology and Pharmacological Research.
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.