Weihua Cai
- Cancer Research top 2%
- MicroRNA in disease regulation 4
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Spinal Cord Injury Research 15
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Extracellular vesicles in disease 15
- Circular RNAs in diseases 5
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- Pain Mechanisms and Treatments 7
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- Nerve injury and regeneration 5
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- Nuclear reactor physics and engineering 4
- Co-authors
- Yuluo RongJiaxing WangJin FanXuhui GeChengyue JiDongdong JiangWei LiuJian Chen
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Weihua Cai
54 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 663
- Neurology 287
- Pathology and Forensic Medicine 593
- Developmental Neuroscience 107
- Molecular Biology 1.6k
Countries citing papers authored by Weihua Cai
This map shows the geographic impact of Weihua Cai'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 Weihua Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Cai more than expected).
Fields of papers citing papers by Weihua Cai
This network shows the impact of papers produced by Weihua Cai. 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 Weihua Cai. The network helps show where Weihua Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weihua Cai, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 65 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 22 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 208 | |
| 14 | Neural stem cell-derived small extracellular vesicles attenuate apoptosis and neuroinflammation after traumatic spinal cord injury by activating autophagybreakdown → | 2019 | 253 |
| 15 | 2019 | 32 | |
| 16 | 2018 | 50 | |
| 17 | 2018 | 42 | |
| 18 | EXPERIMENTAL STUDY ON THE CHARACTERISTICS OF BULLET WATER-ENTRY SUPERCAVITY IN DRAG-REDUCER SOLUTION | 2010 | 4 |
| 19 | 2010 | 28 | |
| 20 | 2009 | 22 |
About Weihua Cai
Weihua Cai is a scholar working on Pathology and Forensic Medicine, Neurology and Cancer Research, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (15 papers), Spinal Cord Injury Research (15 papers), Pain Mechanisms and Treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Nerve injury and regeneration (5 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and Nuclear reactor physics and engineering (4 papers). The work is most often cited by research in Cancer Research (663 citations), Neurology (287 citations) and Pathology and Forensic Medicine (593 citations). Weihua Cai has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Yuluo Rong, Jiaxing Wang, Jin Fan, Xuhui Ge, Chengyue Ji, Dongdong Jiang, Wei Liu, Jian Chen, Pengyu Tang and Linwei Li. Their work appears in journals such as Journal of Neuroscience, Biomaterials and Scientific Reports.
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.