Roberta Cerutti

56 papers receiving 982 citations

Peers

Roberta Cerutti
Comparison fields: 5 of 85
  • Hepatology 82
  • Cancer Research 153
  • Oncology 262
  • Pathology and Forensic Medicine 154
  • Nephrology 58
Replace Daniel Lysák with:
Daniel Lysák Czechia
Virginie Huchet France
Vivek R. Sharma United States
Makoto Toi Japan
Mojtaba Akhtari United States
Alessandra Sperotto Italy
Dana Tegzová Czechia
Zale P. Bernstein United States
Pietro Mingazzini Italy
Toshimichi Asano Japan
Roberta Cerutti relative to Daniel Lysák Czechia Daniel Lysák's profile →
Citations per field
00.5×3.0×
Daniel Lysák · 1×
Citations per year

Countries citing papers authored by Roberta Cerutti

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Cerutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200388
2 200574
3 202062
4 201856
5 200652
6 200447
7 201938
8
A large 6q deletion is a common cytogenetic alteration in fibroadenomas, pre-malignant lesions, and carcinomas of the breast.
200038
9 200236
10 200633
11 200832
12 201630
13 200729
14
Chromosome 6 abnormalities in ovarian surface epithelial tumors of borderline malignancy suggest a genetic continuum in the progression model of ovarian neoplasms.
200125
15 200522
16 201020
17 201919
18 200918
19 201918
20 201817

About Roberta Cerutti

Roberta Cerutti is a scholar working on Hepatology, Pathology and Forensic Medicine, Epidemiology, Oncology and Cancer Research, having authored 58 papers that have together received 1000 indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Genetic factors in colorectal cancer (9 papers), Hepatitis B Virus Studies (6 papers), Cancer Genomics and Diagnostics (6 papers), Renal Transplantation Outcomes and Treatments (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (82 citations), Cancer Research (153 citations), Oncology (262 citations), Pathology and Forensic Medicine (154 citations) and Nephrology (58 citations). Roberta Cerutti has collaborated with scholars based in Italy, Argentina and Switzerland. Frequent co-authors include Daniela Furlan, Carlo Capella, Fabrizio Fabrizi, Piergiorgio Messa, Silvia Uccella, Anna Maria Chiaravalli, Ileana Carnevali, Stefano La Rosa, Nora Sahnane and Carlo Alfieri. Their work appears in journals such as Pathogens, Clinical Cancer Research, Expert Review of Clinical Pharmacology, Journal of Clinical Pathology and Human Pathology.

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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