Giovanni Storto

74 papers receiving 1.2k citations

Peers

Giovanni Storto
Comparison fields: 5 of 99
  • Radiology, Nuclear Medicine and Imaging 553
  • Cardiology and Cardiovascular Medicine 300
  • Surgery 292
  • Pulmonary and Respiratory Medicine 246
  • Oncology 225
Replace Akira Shohtsu with:
Akira Shohtsu Japan
Chang Woon Choi South Korea
Jun‐ichi Teranishi Japan
Yasuhide Miyoshi Japan
Neil K. Taunk United States
Carmela Romano Italy
Eun Yoon Cho South Korea
Seung‐Ho Choi South Korea
Yang Feng China
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Giovanni Storto relative to Akira Shohtsu Japan Akira Shohtsu's profile →
Citations per field
00.5×10.3×
Akira Shohtsu · 1×
Citations per year

Countries citing papers authored by Giovanni Storto

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Storto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Storto

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Storto. A scholar is included among the top collaborators of Giovanni Storto 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 Giovanni Storto. Giovanni Storto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 44
4 13
5 3
6 20
7 17
8 18
9 42
10 21
11 3
12 27
13 6
14 11
15 1
16
Influence of risk factors on coronary flow reserve in patients with 1-vessel coronary artery disease.
12
17 10
18 55
19 6
20 15

About Giovanni Storto

Giovanni Storto is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Modeling and Simulation, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (15 papers), Medical Imaging Techniques and Applications (14 papers) and Radiopharmaceutical Chemistry and Applications (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (553 citations), Cardiology and Cardiovascular Medicine (300 citations) and Endocrinology, Diabetes and Metabolism (186 citations). Giovanni Storto has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alberto Cuocolo, Marco Salvatore, Teresa Pellegrino, Mario Petretta, Anna Nardelli, Rosj Gallicchio, Leonardo Pace, Matteo Landriscina, Massimo Chiariello and Vittorio Simeon. Their work appears in journals such as Journal of the American College of Cardiology, Radiology and International Journal of Molecular Sciences.

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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