Damiano D’Ardes
- Infectious Diseases top 5%
- Epidemiology
- Neurology top 5%
- Critical Care and Intensive Care Medicine top 2%
- Surgery
- Co-authors
- Francesco CipolloneFrancesca SantilliAndrea BoccatondaMaria Teresa GuagnanoGiovanni Davı̀Cosima SchiavoneGiulio CoccoIlaria Rossi
- Topics
- Ultrasound in Clinical Applications (15 papers)COVID-19 Clinical Research Studies (13 papers)Long-Term Effects of COVID-19 (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- ItalySwedenUnited Kingdom
In The Last Decade
Damiano D’Ardes
59 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Infectious Diseases 324
- Epidemiology 217
- Neurology 203
- Critical Care and Intensive Care Medicine 175
- Surgery 171
Countries citing papers authored by Damiano D’Ardes
This map shows the geographic impact of Damiano D’Ardes'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 Damiano D’Ardes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damiano D’Ardes more than expected).
Fields of papers citing papers by Damiano D’Ardes
This network shows the impact of papers produced by Damiano D’Ardes. 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 Damiano D’Ardes. The network helps show where Damiano D’Ardes may publish in the future.
Co-authorship network of co-authors of Damiano D’Ardes
This figure shows the co-authorship network connecting the top 25 collaborators of Damiano D’Ardes. A scholar is included among the top collaborators of Damiano D’Ardes 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 Damiano D’Ardes. Damiano D’Ardes 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | From NAFLD to MAFLD: Definition, Pathophysiological Basis and Cardiovascular Implicationsbreakdown → | 74 |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 16 | |
| 19 | 17 | |
| 20 | 3 |
About Damiano D’Ardes
Damiano D’Ardes is a scholar working on Critical Care and Intensive Care Medicine, Internal Medicine and Neurology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (15 papers), COVID-19 Clinical Research Studies (13 papers) and Long-Term Effects of COVID-19 (9 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (175 citations), Infectious Diseases (324 citations) and Neurology (203 citations). Damiano D’Ardes has collaborated with scholars based in Italy, Sweden and United Kingdom. Frequent co-authors include Francesco Cipollone, Francesca Santilli, Andrea Boccatonda, Maria Teresa Guagnano, Giovanni Davı̀, Cosima Schiavone, Giulio Cocco, Ilaria Rossi, Marco Bucci and Marco Montanari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.