Shirya Rashid
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Gary F. LewisJay D. HortonRobert E. HammerJacques GenestDavid E. CurtisNorma N. AndersonYoung-Ah MoonTakehiko Watanabe
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Lipoproteins and Cardiovascular Health (13 papers)Lipid metabolism and disorders (9 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of the American College of Cardiology
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Shirya Rashid
28 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Surgery 1.3k
- Endocrinology, Diabetes and Metabolism 795
- Molecular Biology 546
- Epidemiology 492
- Physiology 400
Countries citing papers authored by Shirya Rashid
This map shows the geographic impact of Shirya Rashid'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 Shirya Rashid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirya Rashid more than expected).
Fields of papers citing papers by Shirya Rashid
This network shows the impact of papers produced by Shirya Rashid. 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 Shirya Rashid. The network helps show where Shirya Rashid may publish in the future.
Co-authorship network of co-authors of Shirya Rashid
This figure shows the co-authorship network connecting the top 25 collaborators of Shirya Rashid. A scholar is included among the top collaborators of Shirya Rashid 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 Shirya Rashid. Shirya Rashid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 107 | |
| 2 | 94 | |
| 3 | 13 | |
| 4 | 116 | |
| 5 | 17 | |
| 6 | 108 | |
| 7 | 127 | |
| 8 | 2 | |
| 9 | 186 | |
| 10 | 168 | |
| 11 | 5 | |
| 12 | 22 | |
| 13 | 35 | |
| 14 | Decreased plasma cholesterol and hypersensitivity to statins in mice lacking Pcsk9breakdown → | 571 |
| 15 | 212 | |
| 16 | 30 | |
| 17 | 78 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 140 |
About Shirya Rashid
Shirya Rashid is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Lipoproteins and Cardiovascular Health (13 papers) and Lipid metabolism and disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (795 citations), Surgery (1.3k citations) and Biochemistry (186 citations). Shirya Rashid has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Gary F. Lewis, Jay D. Horton, Robert E. Hammer, Jacques Genest, David E. Curtis, Norma N. Anderson, Young-Ah Moon, Takehiko Watanabe, Rita Garuti and Hagai Tavori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of the American College 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.