M. Bergonzani
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Ivana ZavaroniG BuonannoM PasseriL LuchettiLuigi GnudiEnzo BonoraMonica Maria PagliaraElisabetta Dall’Aglio
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Cardiovascular Function and Risk Factors (2 papers)Obesity, Physical Activity, Diet (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
M. Bergonzani
7 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 454
- Cardiology and Cardiovascular Medicine 193
- Physiology 190
- Epidemiology 150
- Molecular Biology 100
Countries citing papers authored by M. Bergonzani
This map shows the geographic impact of M. Bergonzani'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 M. Bergonzani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bergonzani more than expected).
Fields of papers citing papers by M. Bergonzani
This network shows the impact of papers produced by M. Bergonzani. 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 M. Bergonzani. The network helps show where M. Bergonzani may publish in the future.
Co-authorship network of co-authors of M. Bergonzani
This figure shows the co-authorship network connecting the top 25 collaborators of M. Bergonzani. A scholar is included among the top collaborators of M. Bergonzani 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 M. Bergonzani. M. Bergonzani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | Risk Factors for Coronary Artery Disease in Healthy Persons with Hyperinsulinemia and Normal Glucose Tolerancebreakdown → | 664 |
| 5 | Risk factors for coronary artery disease in healthy persons with hyperinsulinemia and normal glucose tolerance [see comments] | 1 |
| 6 | [Changes in bone mass with age. Transversal study on a female population using photon densitometry]. | 2 |
| 7 | [Effect of ovariectomy on bone mass. Transverse study using photon densitometry]. | 2 |
About M. Bergonzani
M. Bergonzani is a scholar working on Endocrinology, Diabetes and Metabolism, Otorhinolaryngology and Nephrology, having authored 7 papers that have together received 706 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiovascular Function and Risk Factors (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Cardiology and Cardiovascular Medicine (193 citations) and Physiology (190 citations). M. Bergonzani has collaborated with scholars based in Italy and United States. Frequent co-authors include Ivana Zavaroni, G Buonanno, M Passeri, L Luchetti, Luigi Gnudi, Enzo Bonora, Monica Maria Pagliara, Elisabetta Dall’Aglio, P Bonati and G M Reaven. Their work appears in journals such as New England Journal of Medicine, Journal of Internal Medicine and Diabetic Medicine.
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.