Daniela Pacella
Impact in
-
- Ultrasound in Clinical Applications
Papers in
- Co-authors
- Belén López‐Pérez (2 shared papers)Valentina Trimarco (13 shared papers)Raffaele Izzo (19 shared papers)Maria Virginia Manzi (17 shared papers)Bruno Trimarco (15 shared papers)Paola Gallo (12 shared papers)Gaetano Santulli (12 shared papers)Maria Lembo (17 shared papers)
- Journals
- Journal of Clinical Medicine (4 papers)Diabetes Research and Clinical Practice (3 papers)Nutrients (3 papers)Cardiovascular Diabetology (2 papers)Pediatric Pulmonology (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniela Pacella
77 papers receiving 750 citations
Peers
Comparison fields: 5 of 112
- Critical Care and Intensive Care Medicine 45
- Applied Microbiology and Biotechnology 13
- Endocrinology, Diabetes and Metabolism 80
- Cardiology and Cardiovascular Medicine 73
- Neurology 45
Countries citing papers authored by Daniela Pacella
This map shows the geographic impact of Daniela Pacella'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 Daniela Pacella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pacella more than expected).
Fields of papers citing papers by Daniela Pacella
This network shows the impact of papers produced by Daniela Pacella. 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 Daniela Pacella. The network helps show where Daniela Pacella may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Pacella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 83 | |
| 2 | 2023 | 38 | |
| 3 | 2023 | 37 | |
| 4 | 2021 | 32 | |
| 5 | 2018 | 31 | |
| 6 | 2024 | 27 | |
| 7 | 2023 | 26 | |
| 8 | 2022 | 26 | |
| 9 | 2022 | 25 | |
| 10 | 2024 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2015 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2023 | 14 |
About Daniela Pacella
Daniela Pacella is a scholar working on Surgery, Oncology, Cardiology and Cardiovascular Medicine, Physiology and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 772 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (5 papers), Blood Pressure and Hypertension Studies (4 papers), Nutrition and Health in Aging (4 papers), Multi-Agent Systems and Negotiation (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Conflict Management and Negotiation (3 papers), COVID-19 Clinical Research Studies (3 papers) and Radioactivity and Radon Measurements (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (45 citations), Applied Microbiology and Biotechnology (13 citations), Endocrinology, Diabetes and Metabolism (80 citations), Cardiology and Cardiovascular Medicine (73 citations) and Neurology (45 citations). Daniela Pacella has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Belén López‐Pérez, Valentina Trimarco, Raffaele Izzo, Maria Virginia Manzi, Bruno Trimarco, Paola Gallo, Gaetano Santulli, Maria Lembo, Carmine Morisco and Pasquale Mone. Their work appears in journals such as Journal of Clinical Medicine, Diabetes Research and Clinical Practice, Nutrients, Cardiovascular Diabetology and Pediatric Pulmonology.
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.