Mary Elliott‐Davey
- Surgery top 10%
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- Maria Laura MonsalvoJ. Antonio G. LópezRobert P. GiuglianoMarc S. SabatineAnthony KeechBei WangMichelle L. O’DonoghueDan Atar
- Topics
- Lipoproteins and Cardiovascular Health (8 papers)Cancer, Lipids, and Metabolism (2 papers)Health Systems, Economic Evaluations, Quality of Life (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mary Elliott‐Davey
8 papers receiving 509 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Surgery 425
- Cardiology and Cardiovascular Medicine 131
- Economics and Econometrics 128
- Endocrinology, Diabetes and Metabolism 125
- Cancer Research 97
Countries citing papers authored by Mary Elliott‐Davey
This map shows the geographic impact of Mary Elliott‐Davey'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 Mary Elliott‐Davey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Elliott‐Davey more than expected).
Fields of papers citing papers by Mary Elliott‐Davey
This network shows the impact of papers produced by Mary Elliott‐Davey. 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 Mary Elliott‐Davey. The network helps show where Mary Elliott‐Davey may publish in the future.
Co-authorship network of co-authors of Mary Elliott‐Davey
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Elliott‐Davey. A scholar is included among the top collaborators of Mary Elliott‐Davey 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 Mary Elliott‐Davey. Mary Elliott‐Davey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 11 | |
| 3 | Long-Term Evolocumab in Patients With Established Atherosclerotic Cardiovascular Diseasebreakdown → | 211 |
| 4 | Preclinical development and phase 1 trial of a novel siRNA targeting lipoprotein(a)breakdown → | 167 |
| 5 | 25 | |
| 6 | 24 | |
| 7 | 16 | |
| 8 | 50 |
About Mary Elliott‐Davey
Mary Elliott‐Davey is a scholar working on Cancer Research, Surgery and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 514 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Cancer, Lipids, and Metabolism (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Surgery (425 citations), Endocrinology, Diabetes and Metabolism (125 citations) and Cancer Research (97 citations). Mary Elliott‐Davey has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Maria Laura Monsalvo, J. Antonio G. López, Robert P. Giugliano, Marc S. Sabatine, Anthony Keech, Bei Wang, Michelle L. O’Donoghue, Dan Atar, Sabina A. Murphy and Siddique Abbasi. Their work appears in journals such as Circulation, Nature Medicine 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.