Giovanni G. Camici
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Immunology top 2%
- Physiology top 1%
- Surgery top 5%
- Co-authors
- Thomas F. LüscherLuca LiberaleFabrizio MontecuccoFelix C. TannerPeter LibbyFrancesco PaneniAlexander AkhmedovNicole R. Bonetti
- Topics
- Atherosclerosis and Cardiovascular Diseases (35 papers)Antiplatelet Therapy and Cardiovascular Diseases (22 papers)Lipoproteins and Cardiovascular Health (13 papers)
- Partner nations
- SwitzerlandItalyUnited Kingdom
In The Last Decade
Giovanni G. Camici
200 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.7k
- Cardiology and Cardiovascular Medicine 1.6k
- Immunology 1.3k
- Physiology 1.3k
- Surgery 861
Countries citing papers authored by Giovanni G. Camici
This map shows the geographic impact of Giovanni G. Camici'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 Giovanni G. Camici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni G. Camici more than expected).
Fields of papers citing papers by Giovanni G. Camici
This network shows the impact of papers produced by Giovanni G. Camici. 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 Giovanni G. Camici. The network helps show where Giovanni G. Camici may publish in the future.
Co-authorship network of co-authors of Giovanni G. Camici
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni G. Camici. A scholar is included among the top collaborators of Giovanni G. Camici 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 Giovanni G. Camici. Giovanni G. Camici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 27 | |
| 5 | 24 | |
| 6 | 34 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 128 | |
| 11 | 9 | |
| 12 | 29 | |
| 13 | 23 | |
| 14 | 221 | |
| 15 | 69 | |
| 16 | Abstract 16553: Cardiovascular Effects of Dipeptidyl Peptidase-4 Inhibitors in Diabetic Patients: A Meta-Analysis of 95 Trials | 0 |
| 17 | 87 | |
| 18 | 25 | |
| 19 | 83 | |
| 20 | 1 |
About Giovanni G. Camici
Giovanni G. Camici is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Aging, having authored 214 papers that have together received 7.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (35 papers), Antiplatelet Therapy and Cardiovascular Diseases (22 papers) and Lipoproteins and Cardiovascular Health (13 papers). The work is most often cited by research in Geriatrics and Gerontology (396 citations), Aging (173 citations) and Cardiology and Cardiovascular Medicine (1.6k citations). Giovanni G. Camici has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Thomas F. Lüscher, Luca Liberale, Fabrizio Montecucco, Felix C. Tanner, Peter Libby, Francesco Paneni, Alexander Akhmedov, Nicole R. Bonetti, Candela Díaz-Cañestro and Francesco Cosentino. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.