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
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- Ubiquitin and proteasome pathways 3
- Heat shock proteins research 1
-
- Cardiomyopathy and Myosin Studies 4
- Cardiovascular Effects of Exercise 2
- Atrial Fibrillation Management and Outcomes 2
- Cardiac electrophysiology and arrhythmias 1
- 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)Zhaofang Bai (1 shared paper)Hongxia Wang (1 shared paper)Nan Song (1 shared paper)
In The Last Decade
Jiang Dai
17 papers receiving 645 citations
Peers
Comparison fields: 5 of 67
- Immunology 214
- Nephrology 63
- Molecular Biology 435
- Biological Psychiatry 12
- Cardiology and Cardiovascular Medicine 98
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 | 399 | |
| 2 | 2018 | 51 | |
| 3 | 2018 | 46 | |
| 4 | 2016 | 34 | |
| 5 | 2021 | 22 | |
| 6 | 2016 | 19 | |
| 7 | 2009 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2013 | 7 | |
| 12 | 2014 | 7 | |
| 13 | 2012 | 7 | |
| 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 Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Cell Biology and Surgery, having authored 18 papers that have together received 648 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Ubiquitin and proteasome pathways (3 papers), Cardiovascular Effects of Exercise (2 papers), interferon and immune responses (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Galectins and Cancer Biology (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Immunology (214 citations), Nephrology (63 citations), Molecular Biology (435 citations), Biological Psychiatry (12 citations) and Cardiology and Cardiovascular Medicine (98 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, Zhaofang Bai, Hongxia Wang, Nan Song, Wen Xue and Yuan Chen. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Nature Communications, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Frontiers in Cardiovascular Medicine and Medicine.
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.