Lucia Cugusi
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Neurology top 5%
- Physical Therapy, Sports Therapy and Rehabilitation top 1%
- Psychiatry and Mental health top 5%
- Co-authors
- Giuseppe MercuroAndrea MancaFranca DeriuMarco BergaminAndrea Di BlasioStefano GobboValentina BulloAndrea Ermolao
- Topics
- Physical Activity and Health (16 papers)Balance, Gait, and Falls Prevention (14 papers)Cerebral Palsy and Movement Disorders (13 papers)
In The Last Decade
Lucia Cugusi
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Physiology 336
- Cardiology and Cardiovascular Medicine 313
- Neurology 288
- Physical Therapy, Sports Therapy and Rehabilitation 287
- Psychiatry and Mental health 268
Countries citing papers authored by Lucia Cugusi
This map shows the geographic impact of Lucia Cugusi'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 Lucia Cugusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia Cugusi more than expected).
Fields of papers citing papers by Lucia Cugusi
This network shows the impact of papers produced by Lucia Cugusi. 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 Lucia Cugusi. The network helps show where Lucia Cugusi may publish in the future.
Co-authorship network of co-authors of Lucia Cugusi
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Cugusi. A scholar is included among the top collaborators of Lucia Cugusi 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 Lucia Cugusi. Lucia Cugusi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 35 | |
| 4 | 18 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 86 | |
| 11 | 77 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | Cardiovascular effects, body composition, quality of life and pain after a Zumba fitness program in Italian overweight women. | 34 |
| 15 | 52 | |
| 16 | 37 | |
| 17 | 10 | |
| 18 | 20 | |
| 19 | 52 | |
| 20 | 42 |
About Lucia Cugusi
Lucia Cugusi is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine and Medical Laboratory Technology, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Physical Activity and Health (16 papers), Balance, Gait, and Falls Prevention (14 papers) and Cerebral Palsy and Movement Disorders (13 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (287 citations), Statistics, Probability and Uncertainty (180 citations) and Complementary and alternative medicine (189 citations). Lucia Cugusi has collaborated with scholars based in Italy, Brazil and Spain. Frequent co-authors include Giuseppe Mercuro, Andrea Manca, Franca Deriu, Marco Bergamin, Andrea Di Blasio, Stefano Gobbo, Valentina Bullo, Andrea Ermolao, Federica Duregon and Barbara Vendramin. Their work appears in journals such as International Journal of Molecular Sciences, Neuroscience and BMJ.
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.