Jiang Dai
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Cardiomyopathy and Myosin Studies 4
- Atrial Fibrillation Management and Outcomes 3
- Cardiovascular Effects of Exercise 3
- Cardiovascular Function and Risk Factors 2
- Cardiac electrophysiology and arrhythmias 2
-
- Ubiquitin and proteasome pathways 3
- Co-authors
- Xuemin Zhang (3 shared papers)Hong Cai (2 shared papers)Tao Li (2 shared papers)Yi-Jiao Huang (2 shared papers)Tao Zhou (3 shared papers)Ailing Li (1 shared paper)Xiaoyan Zhan (1 shared paper)Wen Xue (1 shared paper)
In The Last Decade
Jiang Dai
17 papers receiving 622 citations
Peers
Comparison fields: 5 of 70
- Immunology 219
- Nephrology 66
- Molecular Biology 445
- Cardiology and Cardiovascular Medicine 112
- Biological Psychiatry 12
Countries citing papers authored by Jiang Dai
This map shows the geographic impact of Jiang Dai'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 Jiang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Dai more than expected).
Fields of papers citing papers by Jiang Dai
This network shows the impact of papers produced by Jiang Dai. 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 Jiang Dai. The network helps show where Jiang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Dai, 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 | 2017 | 382 | |
| 2 | 2018 | 51 | |
| 3 | 2018 | 42 | |
| 4 | 2016 | 33 | |
| 5 | 2021 | 21 | |
| 6 | 2016 | 19 | |
| 7 | 2009 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2013 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2015 | 5 | |
| 15 | Extraction and Activity Detection of cAMP-Phosphodiesterase from Porcine Neutrophils | 2003 | 4 |
| 16 | 2019 | 1 | |
| 17 | 2014 | 1 | |
| 18 | Characterization and Identification of Metastasis-associated Proteins of Lung Cancer by Comparative Proteome Analysis | 2003 | 0 |
About Jiang Dai
Jiang Dai is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Immunology and Surgery, having authored 18 papers that have together received 624 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiovascular Effects of Exercise (3 papers), Ubiquitin and proteasome pathways (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiovascular Function and Risk Factors (2 papers), interferon and immune responses (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Immunology (219 citations), Nephrology (66 citations), Molecular Biology (445 citations), Cardiology and Cardiovascular Medicine (112 citations) and Biological Psychiatry (12 citations). Jiang Dai has collaborated with scholars based in China and Czechia. Frequent co-authors include Xuemin Zhang, Hong Cai, Tao Li, Yi-Jiao Huang, Tao Zhou, Ailing Li, Xiaoyan Zhan, Wen Xue, Zhaofang Bai and Xin Liu. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Cell & Bioscience, British Journal of Anaesthesia, Medicine and International Journal of Cardiology.
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.