Daniela Ambrogetti

1.7k total citations
44 papers, 1.2k citations indexed

About

Daniela Ambrogetti is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela Ambrogetti has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 17 papers in Pathology and Forensic Medicine and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela Ambrogetti's work include Global Cancer Incidence and Screening (19 papers), Breast Lesions and Carcinomas (17 papers) and AI in cancer detection (14 papers). Daniela Ambrogetti is often cited by papers focused on Global Cancer Incidence and Screening (19 papers), Breast Lesions and Carcinomas (17 papers) and AI in cancer detection (14 papers). Daniela Ambrogetti collaborates with scholars based in Italy, United States and Australia. Daniela Ambrogetti's co-authors include Stefano Ciatto, Marco Rosselli Del Turco, Nehmat Houssami, S Catarzi, Gabriella Risso, Domenico Palli, D Morrone, Ian O. Ellis, Melania Assedi and Giovanna Masala and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Daniela Ambrogetti

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Ambrogetti Italy 18 584 495 475 320 251 44 1.2k
S Catarzi Italy 19 442 0.8× 364 0.7× 496 1.0× 474 1.5× 336 1.3× 39 1.1k
Christian R. Loehberg Germany 22 166 0.3× 677 1.4× 539 1.1× 202 0.6× 362 1.4× 59 1.5k
I. H. Gravelle United Kingdom 16 217 0.4× 228 0.5× 290 0.6× 117 0.4× 295 1.2× 35 776
Wolfgang Gatzemeier Italy 17 270 0.5× 454 0.9× 300 0.6× 18 0.1× 98 0.4× 59 834
Stephen Duffy United Kingdom 11 192 0.3× 250 0.5× 784 1.7× 144 0.5× 275 1.1× 15 1.3k
Steffi Hartmann Germany 15 356 0.6× 454 0.9× 169 0.4× 47 0.1× 48 0.2× 43 746
D. Ravichandran United Kingdom 17 354 0.6× 326 0.7× 144 0.3× 37 0.1× 53 0.2× 48 709
PHM Peeters Netherlands 13 256 0.4× 275 0.6× 216 0.5× 78 0.2× 41 0.2× 19 635
William D. Dupont United States 10 423 0.7× 322 0.7× 356 0.7× 25 0.1× 76 0.3× 11 1.0k
Carolin C. Hack Germany 17 68 0.1× 199 0.4× 305 0.6× 118 0.4× 249 1.0× 78 1.0k

Countries citing papers authored by Daniela Ambrogetti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ambrogetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Ambrogetti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Ambrogetti. A scholar is included among the top collaborators of Daniela Ambrogetti 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 Daniela Ambrogetti. Daniela Ambrogetti 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
1.
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Masala, Giovanna, Melania Assedi, Benedetta Bendinelli, et al.. (2023). The FEDRA Longitudinal Study: Repeated Volumetric Breast Density Measures and Breast Cancer Risk. Cancers. 15(6). 1810–1810. 1 indexed citations
3.
Pastore, Elisa, Saverio Caini, Benedetta Bendinelli, et al.. (2022). Dietary Patterns, Dietary Interventions, and Mammographic Breast Density: A Systematic Literature Review. Nutrients. 14(24). 5312–5312. 3 indexed citations
4.
Caini, Saverio, Giovanni Fiorito, Domenico Palli, et al.. (2021). Pre-diagnostic DNA methylation patterns differ according to mammographic breast density amongst women who subsequently develop breast cancer: a case-only study in the EPIC-Florence cohort. Breast Cancer Research and Treatment. 189(2). 435–444. 2 indexed citations
5.
Puliti, Donella, Marco Zappa, Paolo Giorgi Rossi, et al.. (2018). Volumetric breast density and risk of advanced cancers after a negative screening episode: a cohort study. Breast Cancer Research. 20(1). 95–95. 15 indexed citations
6.
Masala, Giovanna, Daniela Ambrogetti, Melania Assedi, et al.. (2017). Mammographic breast density and breast cancer risk in a Mediterranean population: a nested case–control study in the EPIC Florence cohort. Breast Cancer Research and Treatment. 164(2). 467–473. 14 indexed citations
7.
8.
Masala, Giovanna, Melania Assedi, Benedetta Bendinelli, et al.. (2013). Glycemic Index, Glycemic Load and Mammographic Breast Density: The EPIC Florence Longitudinal Study. PLoS ONE. 8(8). e70943–e70943. 10 indexed citations
9.
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Masala, Giovanna, Melania Assedi, Daniela Ambrogetti, et al.. (2008). Physical activity and mammographic breast density in a Mediterranean population: The EPIC Florence longitudinal study. International Journal of Cancer. 124(7). 1654–1661. 28 indexed citations
11.
Houssami, Nehmat, Stefano Ciatto, Ian O. Ellis, & Daniela Ambrogetti. (2006). Underestimation of malignancy of breast core‐needle biopsy. Cancer. 109(3). 487–495. 145 indexed citations
12.
Ciatto, Stefano, Daniela Ambrogetti, D Morrone, & Marco Rosselli Del Turco. (2006). Analysis of the results of a proficiency test in screening mammography at the CSPO of Florence: review of 705 tests. La radiologia medica. 111(6). 797–803. 11 indexed citations
13.
Ciatto, Stefano, Nehmat Houssami, Daniela Ambrogetti, et al.. (2006). Accuracy and Underestimation of Malignancy of Breast Core Needle Biopsy: the Florence Experience of Over 4000 Consecutive Biopsies. Breast Cancer Research and Treatment. 101(3). 291–297. 108 indexed citations
14.
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Masala, Giovanna, Daniela Ambrogetti, Melania Assedi, et al.. (2005). Dietary and lifestyle determinants of mammographic breast density. A longitudinal study in a Mediterranean population. International Journal of Cancer. 118(7). 1782–1789. 92 indexed citations
16.
Houssami, Nehmat, Stefano Ciatto, Daniela Ambrogetti, et al.. (2005). Florence?Sydney Breast Biopsy Study: sensitivity of ultrasound-guided versus freehand fine needle biopsy of palpable breast cancer. Breast Cancer Research and Treatment. 89(1). 55–59. 17 indexed citations
17.
Bonardi, Rita, Daniela Ambrogetti, Stefano Ciatto, et al.. (2004). Conventional versus digital mammography in the analysis of screen-detected lesions with low positive predictive value. European Journal of Radiology. 55(2). 258–263. 12 indexed citations
18.
Ciatto, Stefano, et al.. (1996). [Test for the assessment of the diagnostic accuracy of mammography. Results of 103 tests carried out by Italian radiologists].. PubMed. 92(4). 367–71. 4 indexed citations
19.
Giorgi, Daniela, Daniela Ambrogetti, S Catarzi, et al.. (1994). Design and preliminary results of the Florence Breast Cancer Screening Programme (Progetto Firenze Donna). European Journal of Cancer Prevention. 3(Supplement). 29–34. 19 indexed citations
20.
Ciatto, Stefano, D Morrone, S Catarzi, et al.. (1993). Radial scars of the breast: review of 38 consecutive mammographic diagnoses.. Radiology. 187(3). 757–760. 63 indexed citations

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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