Cairong Zhu
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- Mercury impact and mitigation studies 9
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments 6
- Neurological Disorders and Treatments 5
- Oncology top 10%
- Global Cancer Incidence and Screening 7
- Epidemiology top 10%
- Acute Ischemic Stroke Management 19
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- Stroke Rehabilitation and Recovery 10
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- Cerebrovascular and Carotid Artery Diseases 8
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- Blood Pressure and Hypertension Studies 5
Cairong Zhu
115 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Endocrinology, Diabetes and Metabolism 641
- Health, Toxicology and Mutagenesis 281
- Neurology 123
- Oncology 350
- Epidemiology 416
Countries citing papers authored by Cairong Zhu
This map shows the geographic impact of Cairong Zhu'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 Cairong Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cairong Zhu more than expected).
Fields of papers citing papers by Cairong Zhu
This network shows the impact of papers produced by Cairong Zhu. 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 Cairong Zhu. The network helps show where Cairong Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cairong Zhu, 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 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 15 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2016 | 78 | |
| 16 | [Assessing quality of life of patients with stroke using EQ-5D and SF-12]. | 2015 | 6 |
| 17 | 2015 | 0 | |
| 18 | Energy-efficient power allocation for MIMO two-way cognitive relay networks. | 2015 | 1 |
| 19 | Correlation of the Adiponectin Gene +45 in Exon 2 Polymorphisms and Type 2 Diabetes Mellitus in Chinese Population:A Meta-Analysis | 2012 | 1 |
| 20 | Quality of Life Among Stroke Patients at the Acute Stage and Its Risk Factors | 2012 | 1 |
About Cairong Zhu
Cairong Zhu is a scholar working on Rehabilitation, Health, Toxicology and Mutagenesis and Psychiatry and Mental health, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (19 papers), Stroke Rehabilitation and Recovery (10 papers), Mercury impact and mitigation studies (9 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Global Cancer Incidence and Screening (7 papers), Neurological Disease Mechanisms and Treatments (6 papers), Blood Pressure and Hypertension Studies (5 papers) and Neurological Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (641 citations), Health, Toxicology and Mutagenesis (281 citations) and Neurology (123 citations). Cairong Zhu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Briseis A. Kilfoy, Xuesong Han, Tongzhang Zheng, Muke Zhou, Yawei Zhang, Theodore R. Holford, Yana Bai, Grace L. Guo, Nathaniel Rothman and Mary H. Ward. Their work appears in journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.
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.