Davide Imberti

138 papers receiving 4.5k citations

Peers

Davide Imberti
Comparison fields: 5 of 70
  • Internal Medicine 2.6k
  • Cardiology and Cardiovascular Medicine 684
  • Biochemistry 119
  • Emergency Medical Services 55
  • Critical Care and Intensive Care Medicine 26
Replace Jan Beyer‐Westendorf with:
Jan Beyer‐Westendorf Germany
Marco Moia Italy
Nathan P. Clark United States
Hervé Decousus France
Leonardo Rodrigues Brandão Canada
Alexander G.G. Turpie Canada
Matthias Thielmann Germany
Janine Vintch United States
Mark D. Cipolle United States
Joseph A. Caprini United States
Davide Imberti relative to Jan Beyer‐Westendorf Germany Jan Beyer‐Westendorf's profile →
Citations per field
00.5×2×3.3×
Jan Beyer‐Westendorf · 1×
Citations per year

Countries citing papers authored by Davide Imberti

Since Specialization
Citations

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

Fields of papers citing papers by Davide Imberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003324
2 2011258
3 2017249
4 2005248
5 2015219
6 2010181
7 2009180
8 2004157
9 2016147
10 2008111
11 2006105
12 2005104
13 202089
14 201484
15 201879
16 200773
17 201267
18 201164
19 201155
20 200752

About Davide Imberti

Davide Imberti is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Biochemistry, Pathology and Forensic Medicine and Epidemiology, having authored 142 papers that have together received 4.8k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (91 papers), Atrial Fibrillation Management and Outcomes (17 papers), Systemic Sclerosis and Related Diseases (3 papers), Acute Ischemic Stroke Management (3 papers), Blood transfusion and management (2 papers), COVID-19 Clinical Research Studies (2 papers), Blood disorders and treatments (2 papers) and Ultrasound in Clinical Applications (1 paper). The work is most often cited by research in Internal Medicine (2.6k citations), Cardiology and Cardiovascular Medicine (684 citations), Biochemistry (119 citations), Emergency Medical Services (55 citations) and Critical Care and Intensive Care Medicine (26 citations). Davide Imberti has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Walter Ageno, Giancarlo Agnelli, Alessandro Squizzato, Paolo Prandoni, Gualtiero Palareti, Melina Verso, Mauro Silingardi, Cecilia Becattini, David A. Garcia and Matteo Giorgi‐Pierfranceschi. Their work appears in journals such as Thrombosis Research, Internal and Emergency Medicine, Journal of Thrombosis and Haemostasis, Thrombosis and Haemostasis and Journal of Thrombosis and Thrombolysis.

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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