G Caldara
- Molecular Biology
- Physiology
- Genetics
- Nutrition and Dietetics top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Antonella AmatoFlavia MulèSara BaldassanoDomenico NuzzoMarta Di CarloVincenzo FerrantelliMaria Grazia ZizzoSimona Terzo
- Topics
- Neuropeptides and Animal Physiology (6 papers)Nuts composition and effects (4 papers)Diet and metabolism studies (3 papers)
- Partner nations
- ItalySwitzerlandPoland
In The Last Decade
G Caldara
37 papers receiving 598 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 167
- Physiology 157
- Genetics 124
- Nutrition and Dietetics 94
- Endocrinology, Diabetes and Metabolism 83
Countries citing papers authored by G Caldara
This map shows the geographic impact of G Caldara'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 G Caldara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Caldara more than expected).
Fields of papers citing papers by G Caldara
This network shows the impact of papers produced by G Caldara. 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 G Caldara. The network helps show where G Caldara may publish in the future.
Co-authorship network of co-authors of G Caldara
This figure shows the co-authorship network connecting the top 25 collaborators of G Caldara. A scholar is included among the top collaborators of G Caldara 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 G Caldara. G Caldara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 35 | |
| 9 | 29 | |
| 10 | 58 | |
| 11 | Determination of Fatty Acid Composition of Pistacia vera Selected from the Valley of River Platani (Sicily) | 1 |
| 12 | 28 | |
| 13 | Differential recruitment of Angiotensin II receptors in the modulation of rat colonic contractile activity in experimental inflammation | 1 |
| 14 | 2 | |
| 15 | 84 | |
| 16 | 7 | |
| 17 | 25 | |
| 18 | 20 | |
| 19 | Device-guided home-based slow breathing training in patients with congestive heart failure. Effects on exercise capacity, ventilation and ventricular function | 1 |
| 20 | 9 |
About G Caldara
G Caldara is a scholar working on Complementary and Manual Therapy, Endocrine and Autonomic Systems and Periodontics, having authored 38 papers that have together received 609 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Nuts composition and effects (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (80 citations), Nutrition and Dietetics (94 citations) and Physiology (157 citations). G Caldara has collaborated with scholars based in Italy, Switzerland and Poland. Frequent co-authors include Antonella Amato, Flavia Mulè, Sara Baldassano, Domenico Nuzzo, Marta Di Carlo, Vincenzo Ferrantelli, Maria Grazia Zizzo, Simona Terzo, Rosa Serio and Giovanni Cassata. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and European Heart Journal.
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.