Cairong Zhu
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Oncology top 10%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Briseis A. KilfoyXuesong HanTongzhang ZhengMuke ZhouYawei ZhangTheodore R. HolfordYana BaiGrace L. Guo
- Topics
- Acute Ischemic Stroke Management (19 papers)Stroke Rehabilitation and Recovery (10 papers)Mercury impact and mitigation studies (9 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Cairong Zhu
115 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Endocrinology, Diabetes and Metabolism 641
- Epidemiology 416
- Oncology 350
- Molecular Biology 323
- Health, Toxicology and Mutagenesis 281
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 of co-authors of Cairong Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Cairong Zhu. A scholar is included among the top collaborators of Cairong Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cairong Zhu. Cairong Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 78 | |
| 16 | [Assessing quality of life of patients with stroke using EQ-5D and SF-12]. | 6 |
| 17 | 0 | |
| 18 | Energy-efficient power allocation for MIMO two-way cognitive relay networks. | 1 |
| 19 | Correlation of the Adiponectin Gene +45 in Exon 2 Polymorphisms and Type 2 Diabetes Mellitus in Chinese Population:A Meta-Analysis | 1 |
| 20 | Quality of Life Among Stroke Patients at the Acute Stage and Its Risk Factors | 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) and Mercury impact and mitigation studies (9 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.