Chiara Di Pentima
- Cardiology and Cardiovascular Medicine
- Infectious Diseases
- Surgery
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Co-authors
- Francesco SpannellaRiccardo SarzaniFederico GiuliettiPiero C. GiordanoPaola SchiaviArianna VigniniGianna FerrettiTiziana Bacchetti
- Topics
- Lipoproteins and Cardiovascular Health (7 papers)COVID-19 Clinical Research Studies (6 papers)Blood Pressure and Hypertension Studies (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInfectious DiseasesEndocrinology, Diabetes and Metabolism
- Journals
- International Journal of Molecular SciencesAtherosclerosisAmerican Journal of Physiology-Lung Cellular and Molecular Physiology
- Partner nations
- Italy
In The Last Decade
Chiara Di Pentima
23 papers receiving 314 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 124
- Infectious Diseases 72
- Surgery 65
- Endocrinology, Diabetes and Metabolism 59
- Molecular Biology 44
Countries citing papers authored by Chiara Di Pentima
This map shows the geographic impact of Chiara Di Pentima'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 Chiara Di Pentima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Di Pentima more than expected).
Fields of papers citing papers by Chiara Di Pentima
This network shows the impact of papers produced by Chiara Di Pentima. 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 Chiara Di Pentima. The network helps show where Chiara Di Pentima may publish in the future.
Co-authorship network of co-authors of Chiara Di Pentima
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Di Pentima. A scholar is included among the top collaborators of Chiara Di Pentima 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 Chiara Di Pentima. Chiara Di Pentima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 16 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 65 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 34 | |
| 19 | 33 | |
| 20 | 5 |
About Chiara Di Pentima
Chiara Di Pentima is a scholar working on Critical Care and Intensive Care Medicine, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 323 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), COVID-19 Clinical Research Studies (6 papers) and Blood Pressure and Hypertension Studies (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (124 citations), Infectious Diseases (72 citations) and Endocrinology, Diabetes and Metabolism (59 citations). Chiara Di Pentima has collaborated with scholars based in Italy. Frequent co-authors include Francesco Spannella, Riccardo Sarzani, Federico Giulietti, Piero C. Giordano, Paola Schiavi, Arianna Vignini, Gianna Ferretti, Tiziana Bacchetti, Laura Mazzanti and Marica Bordicchia. Their work appears in journals such as International Journal of Molecular Sciences, Atherosclerosis and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.