Chiara Gnasso

448 citations
22 papers · 139 · h-index 8

Impact in

Papers in

Chiara Gnasso

19 papers receiving 137 citations

Peers

Chiara Gnasso
Comparison fields: 5 of 29
  • Radiology, Nuclear Medicine and Imaging 82
  • Biomedical Engineering 80
  • Cardiology and Cardiovascular Medicine 30
  • Endocrinology, Diabetes and Metabolism 21
  • Nephrology 5
Replace Tariq Haddad with:
Tariq Haddad United States
Anas Fares United States
John C. Chambers United Kingdom
Kheng-Thye Ho Singapore
Tan Swee Yaw United States
A. J. M. Oude Ophuis Netherlands
Xiaoxin Sun China
Behrouz Kherad Germany
Harvey Hecht United States
Florence Leclercq France
Chiara Gnasso relative to Tariq Haddad United States Tariq Haddad's profile →
Citations per field
00.5×4.4×
Tariq Haddad · 1×
Citations per year

Countries citing papers authored by Chiara Gnasso

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Gnasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202427
2 201923
3 202321
4 202313
5 202512
6 20239
7 20247
8 20227
9 20245
10 20243
11 20253
12 20222
13 20241
14 20241
15 20251
16 20251
17 20241
18 20241
19 20241
20 20250

About Chiara Gnasso

Chiara Gnasso is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery and Oncology, having authored 22 papers that have together received 139 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (15 papers), Cardiac Imaging and Diagnostics (13 papers), Radiation Dose and Imaging (9 papers), Medical Imaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (2 papers), Long-Term Effects of COVID-19 (1 paper), Phagocytosis and Immune Regulation (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (82 citations), Biomedical Engineering (80 citations), Cardiology and Cardiovascular Medicine (30 citations), Endocrinology, Diabetes and Metabolism (21 citations) and Nephrology (5 citations). Chiara Gnasso has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Emese Zsarnóczay, Ákos Varga‐Szemes, Nicola Fink, U. Joseph Schoepf, Tilman Emrich, Jim O’Doherty, Pál Surányi, Milán Vecsey-Nagy, Moritz C. Halfmann and Pál Maurovich‐Horvat. Their work appears in journals such as Journal of cardiovascular computed tomography, European Radiology Experimental, International Journal of Cardiology, Circulation Cardiovascular Imaging and Insights into Imaging.

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.

Explore authors with similar magnitude of impact