Federico Capone

588 citations
17 papers · 235 · h-index 8

Impact in

Papers in

Federico Capone

16 papers receiving 233 citations

Peers

Federico Capone
Comparison fields: 5 of 55
  • Cardiology and Cardiovascular Medicine 117
  • Infectious Diseases 67
  • Endocrinology, Diabetes and Metabolism 45
  • Neurology 39
  • Applied Microbiology and Biotechnology 4
Replace Dirk van Lier with:
Dirk van Lier Netherlands
Haisam Ismail United States
Sang-Hee Jung South Korea
Panteleimon Pantelidis Greece
Natasha Altman United States
T. Lancefield Australia
Giulia Gagno Italy
Athina Goliopoulou Greece
Kevin Levitt Canada
Ayman Battisha United States
Federico Capone relative to Dirk van Lier Netherlands Dirk van Lier's profile →
Citations per field
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Dirk van Lier · 1×
Citations per year

Countries citing papers authored by Federico Capone

Since Specialization
Citations

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

Fields of papers citing papers by Federico Capone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202263
2 202046
3 202030
4 202329
5 201613
6 202411
7 202410
8 20249
9 20256
10 20245
11 20224
12 20233
13 20213
14 20231
15 20231
16 20211
17 20240

About Federico Capone

Federico Capone is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Physiology, Infectious Diseases and Surgery, having authored 17 papers that have together received 235 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Heart Failure Treatment and Management (3 papers), Adipose Tissue and Metabolism (3 papers), COVID-19 Clinical Research Studies (3 papers), Sepsis Diagnosis and Treatment (3 papers), Adenosine and Purinergic Signaling (2 papers), Eating Disorders and Behaviors (2 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (117 citations), Infectious Diseases (67 citations), Endocrinology, Diabetes and Metabolism (45 citations), Neurology (39 citations) and Applied Microbiology and Biotechnology (4 citations). Federico Capone has collaborated with scholars based in Italy, Germany and Poland. Frequent co-authors include Gabriele G. Schiattarella, Roberto Vettor, Cristian Sotomayor-Flores, Daniele Rodolico, David Bode, Raffaele Pesavento, Paola Fioretto, Angelo Avogaro, L. Previato and Cristiano Sarais. Their work appears in journals such as Cardiovascular Research, Internal and Emergency Medicine, Journal of Personalized Medicine, Journal of Clinical Medicine and International Journal 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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