Elza Muscelli
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 1%
- Molecular Biology top 5%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Ele FerranniniAndrea MariSimona BaldiSilvia FrascerraTim HeiseAmalia GastaldelliStefania CamastraBrenno Astiarraga
- Topics
- Diabetes Treatment and Management (27 papers)Pancreatic function and diabetes (22 papers)Metabolism, Diabetes, and Cancer (19 papers)
In The Last Decade
Elza Muscelli
76 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 2.9k
- Surgery 2.0k
- Molecular Biology 1.4k
- Physiology 1.2k
- Cardiology and Cardiovascular Medicine 1.1k
Countries citing papers authored by Elza Muscelli
This map shows the geographic impact of Elza Muscelli'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 Elza Muscelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elza Muscelli more than expected).
Fields of papers citing papers by Elza Muscelli
This network shows the impact of papers produced by Elza Muscelli. 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 Elza Muscelli. The network helps show where Elza Muscelli may publish in the future.
Co-authorship network of co-authors of Elza Muscelli
This figure shows the co-authorship network connecting the top 25 collaborators of Elza Muscelli. A scholar is included among the top collaborators of Elza Muscelli 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 Elza Muscelli. Elza Muscelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 26 | |
| 3 | 24 | |
| 4 | Shift to Fatty Substrate Utilization in Response to Sodium–Glucose Cotransporter 2 Inhibition in Subjects Without Diabetes and Patients With Type 2 Diabetesbreakdown → | 555 |
| 5 | 61 | |
| 6 | Relationships between Glucose Clearance during an OGTT and a Euglycemic Clamp | 1 |
| 7 | 1 | |
| 8 | 41 | |
| 9 | 23 | |
| 10 | 71 | |
| 11 | 12 | |
| 12 | Visceral adiposity as the main determinant of carotid stiffness in a health population with a wide BMI and age range: evidence from an echo-tracking approach | 1 |
| 13 | 75 | |
| 14 | 111 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 114 | |
| 18 | 47 | |
| 19 | 20 | |
| 20 | 2 |
About Elza Muscelli
Elza Muscelli is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 76 papers that have together received 4.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (27 papers), Pancreatic function and diabetes (22 papers) and Metabolism, Diabetes, and Cancer (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.9k citations), Nephrology (360 citations) and Physiology (1.2k citations). Elza Muscelli has collaborated with scholars based in Italy, Brazil and Denmark. Frequent co-authors include Ele Ferrannini, Andrea Mari, Simona Baldi, Silvia Frascerra, Tim Heise, Amalia Gastaldelli, Stefania Camastra, Brenno Astiarraga, Andrea Natali and Uli C. Broedl. Their work appears in journals such as Circulation, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.