Chunlei Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 16
- Intracranial Aneurysms: Treatment and Complications 11
- Traumatic Brain Injury and Neurovascular Disturbances 5
- Co-authors
- Weibiao Liao (9 shared papers)Pei Wu (21 shared papers)Huaizhang Shi (20 shared papers)Shancai Xu (21 shared papers)Yaohua Liu (7 shared papers)Huailei Liu (7 shared papers)Jianing Wu (6 shared papers)Alan S. Hazell (2 shared papers)
- Journals
- Non-coding RNA Research (4 papers)World Neurosurgery (3 papers)Frontiers in Neurology (3 papers)Scientific Reports (3 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Chunlei Wang
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 248
- Neurology 178
- Genetics 126
- Neurology 78
- Developmental Neuroscience 34
Countries citing papers authored by Chunlei Wang
This map shows the geographic impact of Chunlei 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 Chunlei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlei Wang more than expected).
Fields of papers citing papers by Chunlei Wang
This network shows the impact of papers produced by Chunlei 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 Chunlei Wang. The network helps show where Chunlei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunlei 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 154 | |
| 2 | 2020 | 77 | |
| 3 | 2016 | 70 | |
| 4 | 2013 | 70 | |
| 5 | 2009 | 63 | |
| 6 | 2015 | 61 | |
| 7 | 2017 | 59 | |
| 8 | 2018 | 59 | |
| 9 | 2013 | 38 | |
| 10 | 2021 | 38 | |
| 11 | 2020 | 37 | |
| 12 | 2021 | 35 | |
| 13 | 2018 | 35 | |
| 14 | 2017 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2004 | 28 | |
| 17 | 2002 | 28 | |
| 18 | 2023 | 28 | |
| 19 | 2021 | 27 | |
| 20 | 2016 | 25 |
About Chunlei Wang
Chunlei Wang is a scholar working on Molecular Biology, Neurology, Epidemiology, Cancer Research and Plant Science, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (11 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Cancer-related molecular mechanisms research (7 papers), Acute Ischemic Stroke Management (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), MicroRNA in disease regulation (5 papers), Plant Stress Responses and Tolerance (5 papers) and Postharvest Quality and Shelf Life Management (4 papers). The work is most often cited by research in Cancer Research (248 citations), Neurology (178 citations), Genetics (126 citations), Neurology (78 citations) and Developmental Neuroscience (34 citations). Chunlei Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Weibiao Liao, Pei Wu, Huaizhang Shi, Shancai Xu, Yaohua Liu, Huailei Liu, Jianing Wu, Alan S. Hazell, Guang Yang and Tao Zhang. Their work appears in journals such as Non-coding RNA Research, World Neurosurgery, Frontiers in Neurology, Scientific Reports and BioMed Research International.
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.