Silvia Paiardi
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Physiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Damiano RizzoniGianluca E.M. BoariEnzo PorteriCarolina De CiuceisRita RezzaniLuigi Fabrizio RodellaNicola RizzardiFrancesca Zani
- Topics
- Blood Pressure and Hypertension Studies (10 papers)Cardiovascular Health and Disease Prevention (8 papers)Hormonal Regulation and Hypertension (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Journals
- The Journal of Clinical Endocrinology & MetabolismHypertensionInternational Journal of Environmental Research and Public Health
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Silvia Paiardi
27 papers receiving 680 citations
Peers
Comparison fields: 5 of 75
- Cardiology and Cardiovascular Medicine 394
- Endocrinology, Diabetes and Metabolism 151
- Surgery 137
- Physiology 101
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Silvia Paiardi
This map shows the geographic impact of Silvia Paiardi'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 Silvia Paiardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Paiardi more than expected).
Fields of papers citing papers by Silvia Paiardi
This network shows the impact of papers produced by Silvia Paiardi. 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 Silvia Paiardi. The network helps show where Silvia Paiardi may publish in the future.
Co-authorship network of co-authors of Silvia Paiardi
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Paiardi. A scholar is included among the top collaborators of Silvia Paiardi 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 Silvia Paiardi. Silvia Paiardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 33 | |
| 5 | 8 | |
| 6 | 48 | |
| 7 | 71 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 32 | |
| 13 | 1 | |
| 14 | 105 | |
| 15 | 17 | |
| 16 | 69 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 21 | |
| 20 | 18 |
About Silvia Paiardi
Silvia Paiardi is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Critical Care and Intensive Care Medicine, having authored 27 papers that have together received 691 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (10 papers), Cardiovascular Health and Disease Prevention (8 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (394 citations), Endocrinology, Diabetes and Metabolism (151 citations) and Endocrine and Autonomic Systems (30 citations). Silvia Paiardi has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Damiano Rizzoni, Gianluca E.M. Boari, Enzo Porteri, Carolina De Ciuceis, Rita Rezzani, Luigi Fabrizio Rodella, Nicola Rizzardi, Francesca Zani, Marco Miclini and María Lorenza Muiesan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and International Journal of Environmental Research and Public Health.
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.