Gabriella Risso

21 papers receiving 815 citations

Peers

Gabriella Risso
Comparison fields: 5 of 74
  • Cancer Research 317
  • Pathology and Forensic Medicine 311
  • Oncology 357
  • Artificial Intelligence 386
  • Pulmonary and Respiratory Medicine 305
Replace Beniamino Brancato with:
Beniamino Brancato Italy
S Catarzi Italy
Daniela Ambrogetti Italy
Karin Leifland Sweden
Jafi A. Lipson United States
Todd E. Wilson United States
Linda J. Warren Burhenne Canada
M Wallis United Kingdom
Marc Inciardi United States
Marc J. Homer United States
Gabriella Risso relative to Beniamino Brancato Italy Beniamino Brancato's profile →
Citations per field
00.5×1.5×
Beniamino Brancato · 1×
Citations per year

Countries citing papers authored by Gabriella Risso

Since Specialization
Citations

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

Fields of papers citing papers by Gabriella Risso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gabriella Risso, 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 Gabriella Risso Line = papers co-authored together Gabriella Risso 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 2005192
2 2006108
3 2006102
4 200366
5 200552
6 200543
7 201138
8 201135
9 200735
10
Role of ultrasound-guided fine needle cytology of axillary lymph nodes in breast carcinoma staging.
200434
11 200729
12 201625
13 200522
14 200517
15 200714
16
Comparison of two commercial systems for computer-assisted detection (CAD) as an aid to interpreting screening mammograms.
200411
17 20059
18
Comparison of standard reading and computer aided diagnosis (CAD) on a proficiency test of screening mammography.
20039
19 20213
20
COCAINE AND TOBACCO USE AND THE RISK OF SPONTANEOUS ABORTION
19992

About Gabriella Risso

Gabriella Risso is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Artificial Intelligence and Occupational Therapy, having authored 21 papers that have together received 847 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Global Cancer Incidence and Screening (9 papers), Breast Lesions and Carcinomas (7 papers), Breast Cancer Treatment Studies (6 papers), Digital Radiography and Breast Imaging (4 papers), DNA Repair Mechanisms (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (317 citations), Pathology and Forensic Medicine (311 citations), Oncology (357 citations), Artificial Intelligence (386 citations) and Pulmonary and Respiratory Medicine (305 citations). Gabriella Risso has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Stefano Ciatto, S Catarzi, Beniamino Brancato, Nehmat Houssami, Daniela Ambrogetti, Rita Bonardi, Simonetta Bianchi, Marco Rosselli Del Turco, A. Apruzzese and Bárbara Pesce. Their work appears in journals such as The Breast, Breast Cancer Research and Treatment, Journal of Medical Screening, European Journal of Radiology and Free Radical Research.

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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