Valerio Fiore

868 citations
39 papers · 630 · h-index 16

Impact in

Papers in

Valerio Fiore

37 papers receiving 629 citations

Peers

Valerio Fiore
Comparison fields: 5 of 87
  • Internal Medicine 41
  • Cardiology and Cardiovascular Medicine 119
  • Surgery 174
  • Health, Toxicology and Mutagenesis 58
  • Immunology 67
Replace Kaeng W. Lee with:
Kaeng W. Lee United Kingdom
Paolo Costa Italy
Roberto Cappelli Italy
Sumi Hidaka Japan
Takuya Shimizu Japan
Yingling Zhou China
Kaiyang Lin China
Jürgen Meyer Germany
G Y H Lip United Kingdom
Takumi Higuma Japan
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Citations per year

Countries citing papers authored by Valerio Fiore

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Fiore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 201653
3 201944
4 201640
5 202338
6 201731
7 201229
8 201729
9 201728
10 201026
11 201624
12 201324
13 202321
14 201221
15 202317
16 201016
17 201314
18 201714
19 202413
20 202110

About Valerio Fiore

Valerio Fiore is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Internal Medicine, Rheumatology and Complementary and alternative medicine, having authored 39 papers that have together received 630 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (9 papers), Cardiovascular Function and Risk Factors (7 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Cardiovascular and exercise physiology (5 papers), Cardiovascular Disease and Adiposity (4 papers), Air Quality and Health Impacts (3 papers), Ultrasound in Clinical Applications (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Internal Medicine (41 citations), Cardiology and Cardiovascular Medicine (119 citations), Surgery (174 citations), Health, Toxicology and Mutagenesis (58 citations) and Immunology (67 citations). Valerio Fiore has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Salvatore Santo Signorelli, Massimiliano Anzaldi, Grazia Malaponte, Sergio Neri, Massimo Libra, Agostino Gaudio, Nicolò De Biase, Manfredi Rizzo, Giovanni Li Volti and Guido Li Volsi. Their work appears in journals such as Internal and Emergency Medicine, Cytokine, European Journal of Heart Failure, Heart Failure Reviews and International Journal of Environmental Research and Public Health.

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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