Daniela Sanna

673 citations
27 papers · 475 · h-index 13

Impact in

Papers in

Daniela Sanna

26 papers receiving 454 citations

Peers

Daniela Sanna
Comparison fields: 5 of 85
  • Reproductive Medicine 61
  • Radiology, Nuclear Medicine and Imaging 163
  • Endocrinology, Diabetes and Metabolism 85
  • Agronomy and Crop Science 39
  • Nephrology 24
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J. Happ Germany
Thiago Sotero Fragoso Brazil
Swei H. Tsung United States
Li Gao China
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Daniela Sanna relative to J. Happ Germany J. Happ's profile →
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Citations per year

Countries citing papers authored by Daniela Sanna

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Sanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009113
2
Acute nephrotoxicity of NSAID from the foetus to the adult.
201158
3 200731
4 201329
5 200924
6 200721
7 201220
8 202220
9 201117
10 201417
11 200816
12 201212
13
Scintimammography with a high resolution dedicated breast camera in comparison with SPECT/CT in primary breast cancer detection.
200912
14 201711
15 202010
16 201010
17 20189
18 20118
19 20168
20
Scintimammography with high resolution dedicated breast camera and mammography in multifocal, multicentric and bilateral breast cancer detection: a comparative study.
20098

About Daniela Sanna

Daniela Sanna is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 27 papers that have together received 475 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Reproductive Biology and Fertility (5 papers), Breast Lesions and Carcinomas (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Cancer Treatment Studies (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Reproductive Medicine (61 citations), Radiology, Nuclear Medicine and Imaging (163 citations), Endocrinology, Diabetes and Metabolism (85 citations), Agronomy and Crop Science (39 citations) and Nephrology (24 citations). Daniela Sanna has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Angela Spanu, Francesca Chessa, Giuseppe Madeddu, Susanna Nuvoli, Maria Dattena, Mara Ladu, Alessandra Manca, Sara Casu, Gabriele Finco and Iciar Muñoz. Their work appears in journals such as BMC Veterinary Research, International Journal of Oncology, Journal of Nuclear Medicine, Surgical Endoscopy and Cell Biology International.

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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