Daniela Scarpa

9 papers receiving 1.1k citations

Peers

Daniela Scarpa
Comparison fields: 5 of 73
  • Emergency Medical Services 311
  • Cancer Research 562
  • Internal Medicine 56
  • Pathology and Forensic Medicine 224
  • Nephrology 67
Replace Antoni Alastrue with:
Antoni Alastrue Spain
Adel S. Al‐Jurf United States
U Ljungqvist Sweden
Sotirios P. Patsilinakos Greece
Olivier Haillot France
Marlin Wayne Causey United States
M. Barthels Germany
Giuliano Bonfanti Italy
Henry J. Fee United States
Elisabeth C. M. Van Pampus Netherlands
Daniela Scarpa relative to Antoni Alastrue Spain Antoni Alastrue's profile →
Citations per field
00.5×2×3×4×4.7×
Antoni Alastrue · 1×
Citations per year

Countries citing papers authored by Daniela Scarpa

Since Specialization
Citations

This map shows the geographic impact of Daniela Scarpa'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 Scarpa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Scarpa more than expected).

Fields of papers citing papers by Daniela Scarpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Scarpa. 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 Scarpa. The network helps show where Daniela Scarpa may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Scarpa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Scarpa Line = papers co-authored together Daniela Scarpa links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1999651
2 1983105
3 1997100
4 198387
5 198286
6
Pathogenesis and predictability of central venous catheter sepsis.
198274
7 200650
8 20012
9 19831

About Daniela Scarpa

Daniela Scarpa is a scholar working on Emergency Medical Services, Cancer Research, Pulmonary and Respiratory Medicine, Internal Medicine and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (5 papers), Hemodynamic Monitoring and Therapy (2 papers), Breast Cancer Treatment Studies (2 papers), Vascular Procedures and Complications (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Dialysis and Renal Disease Management (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Emergency Medical Services (311 citations), Cancer Research (562 citations), Internal Medicine (56 citations), Pathology and Forensic Medicine (224 citations) and Nephrology (67 citations). Daniela Scarpa has collaborated with scholars based in Italy, Netherlands and Czechia. Frequent co-authors include Alberto Luini, Umberto Veronesi, Mattia Intra, Enrico Orvieto, Paolo Veronesi, Giovanni Paganelli, Federico Bozzetti, G Tosi, Stefano Zurrida and GIOVANNI TERNO. Their work appears in journals such as Annals of Surgery, JNCI Journal of the National Cancer Institute, Journal of Parenteral and Enteral Nutrition, The Laryngoscope and European Journal of Cancer.

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.

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