Chenran Wang
Impact in
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
- Epidemiology 16
- Autophagy in Disease and Therapy 14
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- Extracellular vesicles in disease 3
- Epigenetics and DNA Methylation 3
- Co-authors
- Jun‐Lin Guan (16 shared papers)Chun-Chi Liang (3 shared papers)Syn Kok Yeo (10 shared papers)Huijun Wei (2 shared papers)Boyi Gan (1 shared paper)Peng Xu (1 shared paper)Huaping Fan (2 shared papers)Ting Sun (1 shared paper)
- Journals
- Autophagy (3 papers)Genes & Development (2 papers)The Journal of Cell Biology (2 papers)British Journal of Cancer (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Chenran Wang
34 papers receiving 1.7k citations
Chenran Wang's Hit Papers
Peers
Comparison fields: 5 of 100
- Epidemiology 740
- Cancer Research 301
- Immunology and Allergy 111
- Developmental Neuroscience 68
- Physiology 80
Countries citing papers authored by Chenran Wang
This map shows the geographic impact of Chenran Wang'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 Chenran Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenran Wang more than expected).
Fields of papers citing papers by Chenran Wang
This network shows the impact of papers produced by Chenran Wang. 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 Chenran Wang. The network helps show where Chenran Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenran Wang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Liquid biopsy in cancer: current status, challenges and future prospects Hit paper breakdown → | 2024 | 263 |
| 2 | 2013 | 248 | |
| 3 | 2009 | 194 | |
| 4 | 2009 | 177 | |
| 5 | 2013 | 142 | |
| 6 | 2014 | 96 | |
| 7 | 2010 | 90 | |
| 8 | 2016 | 72 | |
| 9 | 2016 | 57 | |
| 10 | 2009 | 56 | |
| 11 | 2015 | 49 | |
| 12 | 2020 | 44 | |
| 13 | 2017 | 33 | |
| 14 | 2018 | 33 | |
| 15 | 2023 | 29 | |
| 16 | 2014 | 23 | |
| 17 | 2019 | 23 | |
| 18 | 2022 | 20 | |
| 19 | 2021 | 16 | |
| 20 | 2023 | 12 |
About Chenran Wang
Chenran Wang is a scholar working on Epidemiology, Molecular Biology, Oncology, Physiology and Neurology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), MicroRNA in disease regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer Cells and Metastasis (3 papers), Extracellular vesicles in disease (3 papers), Epigenetics and DNA Methylation (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Epidemiology (740 citations), Cancer Research (301 citations), Immunology and Allergy (111 citations), Developmental Neuroscience (68 citations) and Physiology (80 citations). Chenran Wang has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jun‐Lin Guan, Chun-Chi Liang, Syn Kok Yeo, Huijun Wei, Boyi Gan, Peng Xu, Huaping Fan, Ting Sun, Liwei Ma and Jianwei Wei. Their work appears in journals such as Autophagy, Genes & Development, The Journal of Cell Biology, British Journal of Cancer and Journal of Biological Chemistry.
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.