Ziye Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
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- Phytochemicals and Antioxidant Activities
Papers in
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- Single-cell and spatial transcriptomics 1
- Signaling Pathways in Disease 1
- Advanced biosensing and bioanalysis techniques 1
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Hua Guo (6 shared papers)Lisha Qi (6 shared papers)Yuchao He (5 shared papers)Liwei Chen (4 shared papers)Lu Chen (1 shared paper)Tianqiang Song (1 shared paper)Xiaofang Zhang (1 shared paper)Fang Fěng (1 shared paper)
- Journals
- Cancer Biology and Medicine (3 papers)Cell Death and Disease (2 papers)Materials Science and Engineering C (1 paper)Frontiers in Neuroscience (1 paper)Symmetry (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ziye Chen
16 papers receiving 467 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 220
- Biochemistry 38
- Hepatology 36
- Molecular Biology 264
- Rehabilitation 17
Countries citing papers authored by Ziye Chen
This map shows the geographic impact of Ziye Chen'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 Ziye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziye Chen more than expected).
Fields of papers citing papers by Ziye Chen
This network shows the impact of papers produced by Ziye Chen. 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 Ziye Chen. The network helps show where Ziye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ziye Chen, 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 | 2018 | 192 | |
| 2 | 2016 | 54 | |
| 3 | 2021 | 52 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 38 | |
| 6 | 2019 | 23 | |
| 7 | 2017 | 16 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2019 | 1 |
About Ziye Chen
Ziye Chen is a scholar working on Molecular Biology, Cancer Research, Rehabilitation, Pulmonary and Respiratory Medicine and Oncology, having authored 16 papers that have together received 471 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Peptidase Inhibition and Analysis (2 papers), Cancer Genomics and Diagnostics (2 papers), Wound Healing and Treatments (2 papers), Single-cell and spatial transcriptomics (1 paper), Signaling Pathways in Disease (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Horticultural and Viticultural Research (1 paper). The work is most often cited by research in Cancer Research (220 citations), Biochemistry (38 citations), Hepatology (36 citations), Molecular Biology (264 citations) and Rehabilitation (17 citations). Ziye Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hua Guo, Lisha Qi, Yuchao He, Liwei Chen, Lu Chen, Tianqiang Song, Xiaofang Zhang, Fang Fěng, Yunlong Cui and Yuanyuan Liu. Their work appears in journals such as Cancer Biology and Medicine, Cell Death and Disease, Materials Science and Engineering C, Frontiers in Neuroscience and Symmetry.
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.