Daniele Grosseto

782 total citations
19 papers, 245 citations indexed

About

Daniele Grosseto is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniele Grosseto has authored 19 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniele Grosseto's work include Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). Daniele Grosseto is often cited by papers focused on Acute Myocardial Infarction Research (10 papers), Cardiac Imaging and Diagnostics (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). Daniele Grosseto collaborates with scholars based in Italy, Switzerland and Germany. Daniele Grosseto's co-authors include Matteo Aquilina, Tullio Palmerini, Nevio Taglieri, Federica Baldazzi, Antonío Marzocchi, Francesco Saia, Maria Letizia Bacchi Reggiani, Cinzia Marrozzini, Angelo Branzi and Paolo Ortolani and has published in prestigious journals such as European Heart Journal, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Daniele Grosseto

16 papers receiving 241 citations

Peers

Daniele Grosseto
Comparison fields: 5 of 42
  • Cardiology and Cardiovascular Medicine 184
  • Emergency Medicine 77
  • Surgery 64
  • Radiology, Nuclear Medicine and Imaging 36
  • General Health Professions 30
Replace Steven J. Filby with:
Steven J. Filby United States
C. Hiew Australia
Martin Möeckel United States
Rainer Ott Germany
Tal Cohen Israel
Matteo Aquilina Italy
Kristen Meyers United States
Guilherme Pessoa-Amorim United Kingdom
Giulia Dellegrottaglie Italy
Stéphane Manzo‐Silberman France
Steven J. Filby United States View profile →
Citations per field, relative to Daniele Grosseto
Daniele Grosseto · 1×
Citations per year, relative to Daniele Grosseto
Daniele Grosseto · 1×

Countries citing papers authored by Daniele Grosseto

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Grosseto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Grosseto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Grosseto. A scholar is included among the top collaborators of Daniele Grosseto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniele Grosseto. Daniele Grosseto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 2
5 3
6 16
7 22
8 12
9 2
10 0
11 8
12 1
13 30
14 0
15 17
16 19
17 3
18 33
19 71

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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2026