Chenran Wang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 6
- Epidemiology 14
- Autophagy in Disease and Therapy 13
- Co-authors
- Jun‐Lin Guan (17 shared papers)Yunxiang Zhao (1 shared paper)Ting Sun (1 shared paper)Zhibo Liu (1 shared paper)Liwei Ma (1 shared paper)Huiling Guo (1 shared paper)Jianwei Wei (1 shared paper)Peng Xu (1 shared paper)
- Journals
- Autophagy (3 papers)British Journal of Cancer (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (2 papers)BMC Pulmonary Medicine (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Chenran Wang
33 papers receiving 1.8k citations
Chenran Wang's Hit Papers
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 84
- Cancer Research 233
- Epidemiology 522
- Immunology and Allergy 74
- Aging 15
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 38 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 | 397 |
| 2 | 2013 | 249 | |
| 3 | 2009 | 196 | |
| 4 | 2009 | 180 | |
| 5 | 2013 | 151 | |
| 6 | 2010 | 91 | |
| 7 | 2016 | 59 | |
| 8 | 2009 | 58 | |
| 9 | 2015 | 49 | |
| 10 | 2020 | 45 | |
| 11 | 2017 | 34 | |
| 12 | 2023 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2014 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2022 | 21 | |
| 17 | 2021 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2024 | 15 | |
| 20 | 2020 | 12 |
About Chenran Wang
Chenran Wang is a scholar working on Developmental Neuroscience, Epidemiology, Neurology, Oncology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Anesthesia and Pain Management (3 papers), Global Cancer Incidence and Screening (2 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (84 citations), Cancer Research (233 citations), Epidemiology (522 citations), Immunology and Allergy (74 citations) and Aging (15 citations). Chenran Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jun‐Lin Guan, Yunxiang Zhao, Ting Sun, Zhibo Liu, Liwei Ma, Huiling Guo, Jianwei Wei, Peng Xu, Boyi Gan and Syn Kok Yeo. Their work appears in journals such as Autophagy, British Journal of Cancer, Journal of Biological Chemistry, The Journal of Cell Biology and BMC Pulmonary Medicine.
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.