Carmen Spaccarotella

4.5k citations
111 papers · 1.3k indexed · h-index 22

Carmen Spaccarotella

106 papers receiving 1.3k citations

Peers

Carmen Spaccarotella
Comparison fields: 5 of 115
  • Cardiology and Cardiovascular Medicine 817
  • Internal Medicine 57
  • Health Informatics 17
  • Radiology, Nuclear Medicine and Imaging 248
  • Surgery 431
Replace Jolanda Sabatino with:
Jolanda Sabatino Italy
Pietro Di Santo Canada
Francesco Aiello United States
Ralf E. Harskamp Netherlands
Sebastian J. Reinstadler Austria
Troels Thim Denmark
Satoshi Honda Japan
Cihan Çevik United States
Philip D Adamson United Kingdom
Carmen Spaccarotella relative to Jolanda Sabatino Italy Jolanda Sabatino's profile →
Citations per field
00.5×1.5×2.4×
Jolanda Sabatino · 1×
Citations per year

Countries citing papers authored by Carmen Spaccarotella

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Spaccarotella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Carmen Spaccarotella, 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 Carmen Spaccarotella Line = papers co-authored together Carmen Spaccarotella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20244
3 20231
4 202313
5 20231
6 20237
7 20231
8 202213
9 202222
10 20223
11 20214
12 2020100
13 202032
14 202011
15 202011
16 202031
17 201913
18 20185
19 20176
20 20161

About Carmen Spaccarotella

Carmen Spaccarotella is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 111 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (34 papers), Coronary Interventions and Diagnostics (32 papers), Cardiac Imaging and Diagnostics (27 papers), Acute Myocardial Infarction Research (25 papers), Antiplatelet Therapy and Cardiovascular Diseases (14 papers), Infective Endocarditis Diagnosis and Management (13 papers), Cardiovascular Function and Risk Factors (11 papers) and Vascular Procedures and Complications (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (817 citations), Internal Medicine (57 citations) and Health Informatics (17 citations). Carmen Spaccarotella has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Ciro Indolfi, Annalisa Mongiardo, Salvatore De Rosa, Alberto Polimeni, Sabato Sorrentino, Jolanda Sabatino, Antonio Curcio, Daniele Torella, Giovanni Esposito and Isabella Leo. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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