Chenchen Wei
Impact in
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research
- Traumatic Brain Injury and Neurovascular Disturbances
- Neuroinflammation and Neurodegeneration Mechanisms
- Long-Term Effects of COVID-19
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Neurology 14
- Intracerebral and Subarachnoid Hemorrhage Research 13
- Epidemiology 18
- Acute Ischemic Stroke Management 17
- Co-authors
- Ming Liu (19 shared papers)Yanan Wang (16 shared papers)Junfeng Liu (24 shared papers)Bo Wu (11 shared papers)Shihong Zhang (5 shared papers)Simiao Wu (6 shared papers)Ruozhen Yuan (7 shared papers)Quhong Song (11 shared papers)
- Journals
- Current Neurovascular Research (5 papers)Frontiers in Neurology (4 papers)Journal of Stroke and Cerebrovascular Diseases (4 papers)Medicine (3 papers)BMJ Open (2 papers)
- Partner nations
- ChinaAustraliaBangladesh
In The Last Decade
Chenchen Wei
49 papers receiving 681 citations
Peers
Comparison fields: 5 of 100
- Neurology 125
- Internal Medicine 24
- Epidemiology 207
- Neurology 48
- Nephrology 23
Countries citing papers authored by Chenchen Wei
This map shows the geographic impact of Chenchen Wei'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 Chenchen Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Wei more than expected).
Fields of papers citing papers by Chenchen Wei
This network shows the impact of papers produced by Chenchen Wei. 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 Chenchen Wei. The network helps show where Chenchen Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen Wei, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2020 | 51 | |
| 3 | 2023 | 43 | |
| 4 | 2020 | 31 | |
| 5 | 2018 | 31 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 22 | |
| 9 | 2016 | 19 | |
| 10 | 2018 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2020 | 10 |
About Chenchen Wei
Chenchen Wei is a scholar working on Neurology, Epidemiology, Internal Medicine, Nephrology and Aquatic Science, having authored 52 papers that have together received 690 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (17 papers), Intracerebral and Subarachnoid Hemorrhage Research (13 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), COVID-19 Clinical Research Studies (3 papers), Marine Bivalve and Aquaculture Studies (3 papers), Aquaculture Nutrition and Growth (3 papers) and Thin-Film Transistor Technologies (2 papers). The work is most often cited by research in Neurology (125 citations), Internal Medicine (24 citations), Epidemiology (207 citations), Neurology (48 citations) and Nephrology (23 citations). Chenchen Wei has collaborated with scholars based in China, Australia and Bangladesh. Frequent co-authors include Ming Liu, Yanan Wang, Junfeng Liu, Bo Wu, Shihong Zhang, Simiao Wu, Ruozhen Yuan, Quhong Song, Xiaoyan Yang and Yajun Cheng. Their work appears in journals such as Current Neurovascular Research, Frontiers in Neurology, Journal of Stroke and Cerebrovascular Diseases, Medicine and BMJ Open.
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.