Yize Li
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Traditional Chinese Medicine Analysis
Papers in
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Hongmei Zhang (7 shared papers)Wenchao Liu (5 shared papers)Siqi Wang (1 shared paper)Yunman Li (1 shared paper)Ru‐Rong Ji (5 shared papers)Weirong Fang (1 shared paper)Wenyuan Liu (1 shared paper)Tao Xi (1 shared paper)
- Journals
- ACS Nano (2 papers)Advanced Healthcare Materials (2 papers)Frontiers in Oncology (2 papers)Organic & Biomolecular Chemistry (1 paper)Neurological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Yize Li
44 papers receiving 486 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 105
- Complementary and alternative medicine 51
- Developmental Neuroscience 14
- Critical Care and Intensive Care Medicine 15
- Molecular Biology 192
Countries citing papers authored by Yize Li
This map shows the geographic impact of Yize Li'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 Yize Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yize Li more than expected).
Fields of papers citing papers by Yize Li
This network shows the impact of papers produced by Yize Li. 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 Yize Li. The network helps show where Yize Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yize Li, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | LPS induces HUVEC angiogenesis in vitro through miR-146a-mediated TGF-β1 inhibition. | 2017 | 35 |
| 3 | 2018 | 30 | |
| 4 | 2014 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2016 | 24 | |
| 7 | 2022 | 22 | |
| 8 | 2024 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2024 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2022 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2025 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2017 | 8 |
About Yize Li
Yize Li is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Cognitive Neuroscience, having authored 50 papers that have together received 489 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Sleep and Wakefulness Research (4 papers), Cancer-related molecular mechanisms research (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Anesthesia and Neurotoxicity Research (3 papers), MicroRNA in disease regulation (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cancer Research (105 citations), Complementary and alternative medicine (51 citations), Developmental Neuroscience (14 citations), Critical Care and Intensive Care Medicine (15 citations) and Molecular Biology (192 citations). Yize Li has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Hongmei Zhang, Wenchao Liu, Siqi Wang, Yunman Li, Ru‐Rong Ji, Weirong Fang, Wenyuan Liu, Tao Xi, Yonghao Yu and Guolin Wang. Their work appears in journals such as ACS Nano, Advanced Healthcare Materials, Frontiers in Oncology, Organic & Biomolecular Chemistry and Neurological Sciences.
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.