R Sarnelli

608 citations
33 papers · 466 indexed · h-index 12

Impact in

Papers in

R Sarnelli

33 papers receiving 441 citations

Peers

R Sarnelli
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 211
  • Cancer Research 75
  • Genetics 46
  • Pathology and Forensic Medicine 77
  • Cardiology and Cardiovascular Medicine 76
Replace G Notter with:
G Notter Sweden
S Garancini Italy
Hai Xu China
Eva C. Gombos United States
Masami Abiko Japan
Feng Hou China
Ulrike Hoeller Germany
Yakun Wang China
Kunihisa Miyakawa Japan
Jason J. Lee Canada
R Sarnelli relative to G Notter Sweden G Notter's profile →
Citations per field
00.5×
G Notter · 1×
Citations per year

Countries citing papers authored by R Sarnelli

Since Specialization
Citations

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

Fields of papers citing papers by R Sarnelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Differences in AgNOR quantity between colorectal cancer and corresponding metastases: are they useful for prognostic purposes?
19975
2 19967
3 199633
4 19964
5 199411
6 19934
7
67Ga-citrate imaging in rhabdomyosarcoma.
19931
8
Fibrocystic condition and "at risk" lesions in asymptomatic breasts: a morphologic study of postmenopausal women.
199128
9 19917
10 19895
11 198716
12 198620
13
A comparative ultrasonic-histologic study in breast cancer tissue characterization.
19861
14 19864
15 198557
16 19859
17
Correlations between histologic type of clinical breast cancer and physiopathologic profile of the mammary glandular tree.
19841
18 198340
19
[Findings collateral to breast cancer in 100 cases of radical mastectomy].
19822
20 197947

About R Sarnelli

R Sarnelli is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Dermatology and Oncology, having authored 33 papers that have together received 466 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (9 papers), Ultrasound Imaging and Elastography (8 papers), Photoacoustic and Ultrasonic Imaging (4 papers), AI in cancer detection (3 papers), Cancer and Skin Lesions (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (211 citations), Cancer Research (75 citations), Genetics (46 citations), Pathology and Forensic Medicine (77 citations) and Cardiology and Cardiovascular Medicine (76 citations). R Sarnelli has collaborated with scholars based in Italy and Czechia. Frequent co-authors include Luigi Landini, F Squartini, Generoso Bevilacqua, Eugenio Picano, A. Distante, Antonio L’Abbate, M. Salvadori, A. Benassi, Eugenio Picano and Giuseppe Giuffrè. Their work appears in journals such as Ultrasound in Medicine & Biology, Annals of the New York Academy of Sciences, Histopathology, Acta Neuropathologica and European Respiratory Journal.

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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