Simona Tosto

552 citations
21 papers · 378 · h-index 9

Impact in

Papers in

Simona Tosto

19 papers receiving 366 citations

Peers

Simona Tosto
Comparison fields: 5 of 60
  • Pulmonary and Respiratory Medicine 185
  • Radiology, Nuclear Medicine and Imaging 129
  • Artificial Intelligence 174
  • Pathology and Forensic Medicine 88
  • Cancer Research 67
Replace Mengsu Xiao with:
Mengsu Xiao China
Gabriela Quiroga‐Garza United States
R. Winograd Germany
Lonie R. Salkowski United States
Soo‐Youn Ham South Korea
John G. Pearce United States
Fatma Tokat Türkiye
Juan Antonio Retámero Spain
Pål Suhrke Norway
Gábor Forrai Hungary
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Citations per field
00.5×10×13×
Mengsu Xiao · 1×
Citations per year

Countries citing papers authored by Simona Tosto

Since Specialization
Citations

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

Fields of papers citing papers by Simona Tosto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016163
2 200868
3
Eosinophilic ileocolitis by Enterobius vermicularis: a description of two rare cases.
199225
4 200521
5 201519
6
Trimethoprim-sulfamethoxazole-associated severe hypoglycaemia: a sulfonylurea-like effect.
201016
7 201712
8 20209
9 20209
10 20138
11 20197
12 20154
13 20194
14 20174
15 20223
16 20222
17 20232
18 20241
19 20231
20 20250

About Simona Tosto

Simona Tosto is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Pathology and Forensic Medicine and Artificial Intelligence, having authored 21 papers that have together received 378 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (7 papers), MRI in cancer diagnosis (6 papers), Global Cancer Incidence and Screening (6 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Breast Lesions and Carcinomas (4 papers), Advanced MRI Techniques and Applications (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (185 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Artificial Intelligence (174 citations), Pathology and Forensic Medicine (88 citations) and Cancer Research (67 citations). Simona Tosto has collaborated with scholars based in Italy. Frequent co-authors include Massimo Calabrese, Alberto Tagliafico, Bianca Bignotti, Alessio Signori, Francesco Monetti, Sonia Airaldi, Nehmat Houssami, Giovanna Mariscotti, Manuela Durando and Giulio Tagliafico. Their work appears in journals such as British Journal of Radiology, La radiologia medica, Journal of Clinical Medicine, The Breast and European Radiology Experimental.

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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