Laura Lonati
- Cardiology and Cardiovascular Medicine top 2%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Nutrition and Dietetics top 10%
- Physiology
- Co-authors
- Cesare CuspidiAlberto ZanchettiGastone LeonettiLorena SampieriVeronica FusiStefano MeaniGianfranco ParatiFabio Magrini
- Topics
- Blood Pressure and Hypertension Studies (34 papers)Cardiovascular Health and Disease Prevention (22 papers)Cardiovascular Function and Risk Factors (11 papers)
In The Last Decade
Laura Lonati
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 260
- Endocrinology, Diabetes and Metabolism 184
- Nutrition and Dietetics 125
- Physiology 123
Countries citing papers authored by Laura Lonati
This map shows the geographic impact of Laura Lonati'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 Laura Lonati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Lonati more than expected).
Fields of papers citing papers by Laura Lonati
This network shows the impact of papers produced by Laura Lonati. 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 Laura Lonati. The network helps show where Laura Lonati may publish in the future.
Co-authorship network of co-authors of Laura Lonati
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Lonati. A scholar is included among the top collaborators of Laura Lonati 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 Laura Lonati. Laura Lonati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 22 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 70 | |
| 9 | 61 | |
| 10 | Prevalence of home blood pressure measurement among selected hypertensive patients : results of a multicenter survey from six hospital out-patient hypertension clinics in Lombardy | 1 |
| 11 | 49 | |
| 12 | 64 | |
| 13 | 59 | |
| 14 | 45 | |
| 15 | 31 | |
| 16 | 30 | |
| 17 | 9 | |
| 18 | 31 | |
| 19 | 4 | |
| 20 | 16 |
About Laura Lonati
Laura Lonati is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Complementary and alternative medicine, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (34 papers), Cardiovascular Health and Disease Prevention (22 papers) and Cardiovascular Function and Risk Factors (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (184 citations) and Endocrine and Autonomic Systems (68 citations). Laura Lonati has collaborated with scholars based in Italy, Poland and China. Frequent co-authors include Cesare Cuspidi, Alberto Zanchetti, Gastone Leonetti, Lorena Sampieri, Veronica Fusi, Stefano Meani, Gianfranco Parati, Fabio Magrini, B Severgnini and Cristiana Valerio. Their work appears in journals such as Hypertension, Journal of Hypertension and Clinical Endocrinology.
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.