Jagdip S. Jaswal
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 1%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Gary D. LopaschukJohn R. UssherClifford D.L. FolmesWilliam C. StanleyWendy KeungCory S. WaggWei WangJason R.B. Dyck
- Topics
- Cardiovascular Function and Risk Factors (23 papers)Adipose Tissue and Metabolism (13 papers)Cardiac Ischemia and Reperfusion (10 papers)
- Partner nations
- CanadaUnited StatesPoland
In The Last Decade
Jagdip S. Jaswal
34 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.3k
- Cardiology and Cardiovascular Medicine 1.7k
- Physiology 1.3k
- Surgery 566
- Endocrinology, Diabetes and Metabolism 457
Countries citing papers authored by Jagdip S. Jaswal
This map shows the geographic impact of Jagdip S. Jaswal'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 Jagdip S. Jaswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagdip S. Jaswal more than expected).
Fields of papers citing papers by Jagdip S. Jaswal
This network shows the impact of papers produced by Jagdip S. Jaswal. 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 Jagdip S. Jaswal. The network helps show where Jagdip S. Jaswal may publish in the future.
Co-authorship network of co-authors of Jagdip S. Jaswal
This figure shows the co-authorship network connecting the top 25 collaborators of Jagdip S. Jaswal. A scholar is included among the top collaborators of Jagdip S. Jaswal 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 Jagdip S. Jaswal. Jagdip S. Jaswal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 176 | |
| 3 | 18 | |
| 4 | 28 | |
| 5 | 83 | |
| 6 | 152 | |
| 7 | 34 | |
| 8 | 39 | |
| 9 | 73 | |
| 10 | 303 | |
| 11 | 484 | |
| 12 | 17 | |
| 13 | Myocardial Fatty Acid Metabolism in Health and Diseasebreakdown → | 1628 |
| 14 | 19 | |
| 15 | Optimizing cardiac energy substrate metabolism: a novel therapeutic intervention for ischemic heart disease | 4 |
| 16 | 23 | |
| 17 | Partial inhibition of fatty acid β-oxidation with trimetazidine - a novel approach to the treatment of ischemic heart disease | 3 |
| 18 | 21 | |
| 19 | 31 | |
| 20 | 31 |
About Jagdip S. Jaswal
Jagdip S. Jaswal is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Pathology and Forensic Medicine, having authored 34 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (23 papers), Adipose Tissue and Metabolism (13 papers) and Cardiac Ischemia and Reperfusion (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Physiology (1.3k citations) and Geriatrics and Gerontology (187 citations). Jagdip S. Jaswal has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Gary D. Lopaschuk, John R. Ussher, Clifford D.L. Folmes, William C. Stanley, Wendy Keung, Cory S. Wagg, Wei Wang, Jason R.B. Dyck, Sowndramalingam Sankaralingam and Liyan Zhang. Their work appears in journals such as Physiological Reviews, PLoS ONE and Circulation Research.
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.