Claire E. Hastie
- Infectious Diseases top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Neurology top 5%
- Nutrition and Dietetics top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Jill P. PellNaveed SattarSandosh PadmanabhanCatherine O’DonnellDaniel MackayAnna F. DominiczakSrinivasa Vittal KatikireddiFrederick K. Ho
- Topics
- COVID-19 Clinical Research Studies (8 papers)Long-Term Effects of COVID-19 (7 papers)Blood Pressure and Hypertension Studies (5 papers)
- Partner nations
- United KingdomAustraliaIreland
In The Last Decade
Claire E. Hastie
37 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 556
- Cardiology and Cardiovascular Medicine 445
- Neurology 359
- Nutrition and Dietetics 353
- Pathology and Forensic Medicine 335
Countries citing papers authored by Claire E. Hastie
This map shows the geographic impact of Claire E. Hastie'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 Claire E. Hastie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire E. Hastie more than expected).
Fields of papers citing papers by Claire E. Hastie
This network shows the impact of papers produced by Claire E. Hastie. 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 Claire E. Hastie. The network helps show where Claire E. Hastie may publish in the future.
Co-authorship network of co-authors of Claire E. Hastie
This figure shows the co-authorship network connecting the top 25 collaborators of Claire E. Hastie. A scholar is included among the top collaborators of Claire E. Hastie 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 Claire E. Hastie. Claire E. Hastie 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 | True prevalence of long-COVID in a nationwide, population cohort studybreakdown → | 80 |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | Outcomes among confirmed cases and a matched comparison group in the Long-COVID in Scotland studybreakdown → | 126 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 108 | |
| 11 | 197 | |
| 12 | Vitamin D concentrations and COVID-19 infection in UK Biobankbreakdown → | 339 |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 17 | |
| 16 | 64 | |
| 17 | 101 | |
| 18 | 179 | |
| 19 | 44 | |
| 20 | 29 |
About Claire E. Hastie
Claire E. Hastie is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Obstetrics and Gynecology, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Long-Term Effects of COVID-19 (7 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Infectious Diseases (556 citations), Neurology (359 citations) and Nutrition and Dietetics (353 citations). Claire E. Hastie has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include Jill P. Pell, Naveed Sattar, Sandosh Padmanabhan, Catherine O’Donnell, Daniel Mackay, Anna F. Dominiczak, Srinivasa Vittal Katikireddi, Frederick K. Ho, Claire L. Niedzwiedz and Stuart R. Gray. Their work appears in journals such as The Lancet, Nature Communications and PLoS ONE.
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.