Marie-Ann Ewart
- Molecular Biology
- Surgery
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Ian P. SaltSimon KennedyJames ReihillStuart A. RitchieJohn ConnellD. Grahame HardieKirsty M. MairColin J. Wilde
- Topics
- Metabolism, Diabetes, and Cancer (9 papers)Nitric Oxide and Endothelin Effects (5 papers)Cancer, Hypoxia, and Metabolism (4 papers)
- Journals
- Journal of Biological ChemistryAmerican Journal of Respiratory and Critical Care MedicineBiochemical and Biophysical Research Communications
- Partner nations
- United KingdomSpainItaly
In The Last Decade
Marie-Ann Ewart
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 515
- Surgery 208
- Physiology 199
- Cardiology and Cardiovascular Medicine 174
- Endocrinology, Diabetes and Metabolism 154
Countries citing papers authored by Marie-Ann Ewart
This map shows the geographic impact of Marie-Ann Ewart'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 Marie-Ann Ewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie-Ann Ewart more than expected).
Fields of papers citing papers by Marie-Ann Ewart
This network shows the impact of papers produced by Marie-Ann Ewart. 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 Marie-Ann Ewart. The network helps show where Marie-Ann Ewart may publish in the future.
Co-authorship network of co-authors of Marie-Ann Ewart
This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Ann Ewart. A scholar is included among the top collaborators of Marie-Ann Ewart 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 Marie-Ann Ewart. Marie-Ann Ewart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 8 | |
| 3 | 54 | |
| 4 | 25 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 64 | |
| 8 | 48 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 18 | |
| 13 | 15 | |
| 14 | 35 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 81 | |
| 18 | 19 | |
| 19 | 83 | |
| 20 | 42 |
About Marie-Ann Ewart
Marie-Ann Ewart is a scholar working on Physiology, Toxicology and Physiology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Nitric Oxide and Endothelin Effects (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (154 citations), Geriatrics and Gerontology (31 citations) and Physiology (199 citations). Marie-Ann Ewart has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Ian P. Salt, Simon Kennedy, James Reihill, Stuart A. Ritchie, John Connell, D. Grahame Hardie, Kirsty M. Mair, Colin J. Wilde, Tarek Almabrouk and Gwyn W. Gould. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Respiratory and Critical Care Medicine and Biochemical and Biophysical Research Communications.
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.