Elisabetta Brunello
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Cell Biology top 10%
- Co-authors
- Malcolm IrvingLuca FusiVincenzo LombardiGabriella PiazzesiMassimo ReconditiMarco LinariTheyencheri NarayananMarco Caremani
- Topics
- Cardiomyopathy and Myosin Studies (34 papers)Muscle Physiology and Disorders (27 papers)Cardiovascular Effects of Exercise (21 papers)
- Partner nations
- United KingdomItalyFrance
In The Last Decade
Elisabetta Brunello
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 869
- Biomedical Engineering 326
- Atomic and Molecular Physics, and Optics 265
- Cell Biology 193
Countries citing papers authored by Elisabetta Brunello
This map shows the geographic impact of Elisabetta Brunello'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 Elisabetta Brunello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Brunello more than expected).
Fields of papers citing papers by Elisabetta Brunello
This network shows the impact of papers produced by Elisabetta Brunello. 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 Elisabetta Brunello. The network helps show where Elisabetta Brunello may publish in the future.
Co-authorship network of co-authors of Elisabetta Brunello
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Brunello. A scholar is included among the top collaborators of Elisabetta Brunello 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 Elisabetta Brunello. Elisabetta Brunello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 20 | |
| 6 | 25 | |
| 7 | 100 | |
| 8 | 43 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 91 | |
| 14 | 227 | |
| 15 | 20 | |
| 16 | 15 | |
| 17 | 24 | |
| 18 | 81 | |
| 19 | 49 | |
| 20 | 31 |
About Elisabetta Brunello
Elisabetta Brunello is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (34 papers), Muscle Physiology and Disorders (27 papers) and Cardiovascular Effects of Exercise (21 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Structural Biology (20 citations) and Molecular Biology (869 citations). Elisabetta Brunello has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Malcolm Irving, Luca Fusi, Vincenzo Lombardi, Gabriella Piazzesi, Massimo Reconditi, Marco Linari, Theyencheri Narayanan, Marco Caremani, Pasquale Bianco and Thomas C. Irving. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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.