Gaia Panina
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Complementary and alternative medicine top 2%
- Genetics
- Pulmonary and Respiratory Medicine
- Co-authors
- Giuseppe RosanoMarco MetraO VisioliLivio DeiMassimo VolpeFrancesco PellicciaFilippo LeonardoSergio Chierchia
- Topics
- Menopause: Health Impacts and Treatments (3 papers)Heart Rate Variability and Autonomic Control (3 papers)Estrogen and related hormone effects (2 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismComplementary and alternative medicineCardiology and Cardiovascular Medicine
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Gaia Panina
13 papers receiving 633 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 326
- Cardiology and Cardiovascular Medicine 290
- Complementary and alternative medicine 150
- Genetics 88
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Gaia Panina
This map shows the geographic impact of Gaia Panina'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 Gaia Panina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Panina more than expected).
Fields of papers citing papers by Gaia Panina
This network shows the impact of papers produced by Gaia Panina. 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 Gaia Panina. The network helps show where Gaia Panina may publish in the future.
Co-authorship network of co-authors of Gaia Panina
This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Panina. A scholar is included among the top collaborators of Gaia Panina 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 Gaia Panina. Gaia Panina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 0 | |
| 5 | Therapeutic applications of angiotensin II receptor antagonists. | 1 |
| 6 | 2 | |
| 7 | 20 | |
| 8 | Oestrogens and the heart. | 45 |
| 9 | [Neurohormone hypothesis in heart failure: new therapeutic opportunities]. | 1 |
| 10 | 305 | |
| 11 | 3 | |
| 12 | 42 | |
| 13 | 50 | |
| 14 | 163 |
About Gaia Panina
Gaia Panina is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 14 papers that have together received 665 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (326 citations), Complementary and alternative medicine (150 citations) and Cardiology and Cardiovascular Medicine (290 citations). Gaia Panina has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giuseppe Rosano, Marco Metra, O Visioli, Livio Dei, Massimo Volpe, Francesco Pelliccia, Filippo Leonardo, Sergio Chierchia, Elena Cerquetani and Paolo Pagnotta. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.
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.