E. Marie Freel
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Nutrition and Dietetics
- Co-authors
- John ConnellEleanor DaviesRobert FraserScott M. MacKenzieColin PerryGemma CurrieChristian DellesRhian M. Touyz
- Topics
- Hormonal Regulation and Hypertension (22 papers)Adrenal Hormones and Disorders (10 papers)Adrenal and Paraganglionic Tumors (10 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineBehavioral Neuroscience
- Journals
- Endocrine ReviewsThe Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular Sciences
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
E. Marie Freel
25 papers receiving 711 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 498
- Surgery 274
- Cardiology and Cardiovascular Medicine 210
- Molecular Biology 84
- Nutrition and Dietetics 73
Countries citing papers authored by E. Marie Freel
This map shows the geographic impact of E. Marie Freel'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 E. Marie Freel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Marie Freel more than expected).
Fields of papers citing papers by E. Marie Freel
This network shows the impact of papers produced by E. Marie Freel. 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 E. Marie Freel. The network helps show where E. Marie Freel may publish in the future.
Co-authorship network of co-authors of E. Marie Freel
This figure shows the co-authorship network connecting the top 25 collaborators of E. Marie Freel. A scholar is included among the top collaborators of E. Marie Freel 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 E. Marie Freel. E. Marie Freel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 38 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 42 | |
| 9 | 29 | |
| 10 | 25 | |
| 11 | 22 | |
| 12 | 7 | |
| 13 | 140 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 23 | |
| 17 | 0 | |
| 18 | 4 | |
| 19 | 82 | |
| 20 | 27 |
About E. Marie Freel
E. Marie Freel is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biochemistry, having authored 27 papers that have together received 728 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (22 papers), Adrenal Hormones and Disorders (10 papers) and Adrenal and Paraganglionic Tumors (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (498 citations), Cardiology and Cardiovascular Medicine (210 citations) and Behavioral Neuroscience (29 citations). E. Marie Freel has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include John Connell, Eleanor Davies, Robert Fraser, Scott M. MacKenzie, Colin Perry, Gemma Currie, Christian Delles, Rhian M. Touyz, Paul Connelly and Patrick B. Mark. Their work appears in journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.
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.