Daniela Pacella
Impact in
- Health Informatics top 10%
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Blood Pressure and Hypertension Studies 10
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- Artificial Intelligence in Healthcare and Education 7
- Co-authors
- Belén López‐Pérez (2 shared papers)Raffaele Izzo (21 shared papers)Valentina Trimarco (15 shared papers)Maria Virginia Manzi (19 shared papers)Bruno Trimarco (16 shared papers)Gaetano Santulli (13 shared papers)Margherita Lembo (18 shared papers)Paola Gallo (13 shared papers)
- Journals
- Journal of Clinical Medicine (4 papers)Updates in Surgery (4 papers)BMC Medicine (3 papers)Cardiovascular Diabetology (3 papers)Diabetes Research and Clinical Practice (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniela Pacella
103 papers receiving 988 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 34
- Endocrinology, Diabetes and Metabolism 102
- Critical Care and Intensive Care Medicine 28
- Surgery 208
- Cardiology and Cardiovascular Medicine 113
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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 93 | |
| 2 | 2023 | 47 | |
| 3 | 2023 | 40 | |
| 4 | 2021 | 37 | |
| 5 | 2018 | 33 | |
| 6 | 2022 | 29 | |
| 7 | 2023 | 29 | |
| 8 | 2024 | 28 | |
| 9 | 2022 | 27 | |
| 10 | 2023 | 27 | |
| 11 | 2024 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 25 | |
| 14 | 2021 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2022 | 22 | |
| 17 | 2022 | 19 | |
| 18 | 2022 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2015 | 18 |
About Daniela Pacella
Daniela Pacella is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 114 papers that have together received 1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (10 papers), Artificial Intelligence in Healthcare and Education (7 papers), Lipoproteins and Cardiovascular Health (7 papers), Pancreatitis Pathology and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Meta-analysis and systematic reviews (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers) and Stoma care and complications (4 papers). The work is most often cited by research in Health Informatics (34 citations), Endocrinology, Diabetes and Metabolism (102 citations), Critical Care and Intensive Care Medicine (28 citations), Surgery (208 citations) and Cardiology and Cardiovascular Medicine (113 citations). Daniela Pacella has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Belén López‐Pérez, Raffaele Izzo, Valentina Trimarco, Maria Virginia Manzi, Bruno Trimarco, Gaetano Santulli, Margherita Lembo, Paola Gallo, Carmine Morisco and Pasquale Mone. Their work appears in journals such as Journal of Clinical Medicine, Updates in Surgery, BMC Medicine, Cardiovascular Diabetology and Diabetes Research and Clinical Practice.
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.