Frances Wensley
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- John DaneshEmanuele Di AngelantonioAnna M. BennetZheng YeUlf dé FairéRory CollinsBjörn WimanAnders Ahlbom
- Topics
- Cardiovascular Disease and Adiposity (3 papers)Enhanced Recovery After Surgery (2 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaPLoS Medicine
- Partner nations
- United KingdomSwedenAustralia
In The Last Decade
Frances Wensley
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Surgery 335
- Cardiology and Cardiovascular Medicine 290
- Epidemiology 281
- Endocrinology, Diabetes and Metabolism 269
- Physiology 217
Countries citing papers authored by Frances Wensley
This map shows the geographic impact of Frances Wensley'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 Frances Wensley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances Wensley more than expected).
Fields of papers citing papers by Frances Wensley
This network shows the impact of papers produced by Frances Wensley. 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 Frances Wensley. The network helps show where Frances Wensley may publish in the future.
Co-authorship network of co-authors of Frances Wensley
This figure shows the co-authorship network connecting the top 25 collaborators of Frances Wensley. A scholar is included among the top collaborators of Frances Wensley 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 Frances Wensley. Frances Wensley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data | 21 |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 40 | |
| 10 | Long-Term Interleukin-6 Levels and Subsequent Risk of Coronary Heart Disease: Two New Prospective Studies and a Systematic Reviewbreakdown → | 553 |
| 11 | Association of Apolipoprotein E Genotypes With Lipid Levels and Coronary Riskbreakdown → | 610 |
About Frances Wensley
Frances Wensley is a scholar working on Occupational Therapy, Cardiology and Cardiovascular Medicine and Applied Psychology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (3 papers), Enhanced Recovery After Surgery (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (269 citations), Aging (24 citations) and Biological Psychiatry (34 citations). Frances Wensley has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include John Danesh, Emanuele Di Angelantonio, Anna M. Bennet, Zheng Ye, Ulf dé Fairé, Rory Collins, Björn Wiman, Anders Ahlbom, Bernard Keavney and Ann Rumley. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS 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.