Pierluigi Gamba
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Physiology
- Complementary and alternative medicine top 5%
- Co-authors
- F. PaleariGiuseppe ManciaMonica FaillaGuıdo GrassıRaffaella Dell’OroAlessandra GrappioloGino SeravalleCristina Giannattasio
- Topics
- Cardiovascular Health and Disease Prevention (5 papers)Heart Rate Variability and Autonomic Control (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismComplementary and alternative medicine
- Journals
- HypertensionDiabetologiaEpilepsia
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Pierluigi Gamba
13 papers receiving 698 citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 551
- Endocrinology, Diabetes and Metabolism 180
- Surgery 115
- Physiology 108
- Complementary and alternative medicine 74
Countries citing papers authored by Pierluigi Gamba
This map shows the geographic impact of Pierluigi Gamba'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 Pierluigi Gamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierluigi Gamba more than expected).
Fields of papers citing papers by Pierluigi Gamba
This network shows the impact of papers produced by Pierluigi Gamba. 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 Pierluigi Gamba. The network helps show where Pierluigi Gamba may publish in the future.
Co-authorship network of co-authors of Pierluigi Gamba
This figure shows the co-authorship network connecting the top 25 collaborators of Pierluigi Gamba. A scholar is included among the top collaborators of Pierluigi Gamba 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 Pierluigi Gamba. Pierluigi Gamba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | 36 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 25 | |
| 7 | 224 | |
| 8 | 33 | |
| 9 | 61 | |
| 10 | 43 | |
| 11 | Emotional and affective disturbance in patients with epilepsy and diabetes and in normal individuals | 2 |
| 12 | 102 | |
| 13 | 171 |
About Pierluigi Gamba
Pierluigi Gamba is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health, having authored 13 papers that have together received 730 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (5 papers), Heart Rate Variability and Autonomic Control (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (551 citations), Endocrinology, Diabetes and Metabolism (180 citations) and Complementary and alternative medicine (74 citations). Pierluigi Gamba has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include F. Paleari, Giuseppe Mancia, Monica Failla, Guıdo Grassı, Raffaella Dell’Oro, Alessandra Grappiolo, Gino Seravalle, Cristina Giannattasio, Fosca Quarti‐Trevano and Francesco Scopelliti. Their work appears in journals such as Hypertension, Diabetologia and Epilepsia.
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.