Silvia Palmerio
- Molecular Biology
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Geriatrics and Gerontology top 2%
- Physiology
- Co-authors
- Giacomo FratiSebastiano SciarrettaSonia SchiavonMaurizio ForteElena De FalcoIsotta ChimentiLeonardo SchironeFrancesca Pagano
- Topics
- Atherosclerosis and Cardiovascular Diseases (3 papers)Adipose Tissue and Metabolism (3 papers)Autophagy in Disease and Therapy (3 papers)
- Journals
- International Journal of Molecular SciencesAutophagyOxidative Medicine and Cellular Longevity
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Silvia Palmerio
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 505
- Epidemiology 257
- Cardiology and Cardiovascular Medicine 221
- Geriatrics and Gerontology 166
- Physiology 157
Countries citing papers authored by Silvia Palmerio
This map shows the geographic impact of Silvia Palmerio'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 Silvia Palmerio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Palmerio more than expected).
Fields of papers citing papers by Silvia Palmerio
This network shows the impact of papers produced by Silvia Palmerio. 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 Silvia Palmerio. The network helps show where Silvia Palmerio may publish in the future.
Co-authorship network of co-authors of Silvia Palmerio
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Palmerio. A scholar is included among the top collaborators of Silvia Palmerio 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 Silvia Palmerio. Silvia Palmerio 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 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 70 | |
| 10 | 38 | |
| 11 | A Typical Immune T/B Subset Profile Characterizes Bicuspid Aortic Valve: In an Old Status?breakdown → | 326 |
| 12 | 29 | |
| 13 | 23 | |
| 14 | 307 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 20 | |
| 18 | 252 |
About Silvia Palmerio
Silvia Palmerio is a scholar working on Geriatrics and Gerontology, Neurology and Immunology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Adipose Tissue and Metabolism (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Geriatrics and Gerontology (166 citations), Physiology (70 citations) and Cardiology and Cardiovascular Medicine (221 citations). Silvia Palmerio has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giacomo Frati, Sebastiano Sciarretta, Sonia Schiavon, Maurizio Forte, Elena De Falco, Isotta Chimenti, Leonardo Schirone, Francesca Pagano, Antonino Marullo and Derek Yee. Their work appears in journals such as International Journal of Molecular Sciences, Autophagy and Oxidative Medicine and Cellular Longevity.
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.