F. Cavalièri

20 papers receiving 454 citations

Peers

F. Cavalièri
Comparison fields: 5 of 65
  • Infectious Diseases 81
  • Virology 20
  • Epidemiology 137
  • Genetics 116
  • Oncology 98
Replace M. R. Stebbins with:
M. R. Stebbins United States
Clarine Long United States
Juan Fló Argentina
Jang O. Oh United States
Norman B. Darby United States
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Taravat Bamdad Iran
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F. Cavalièri relative to M. R. Stebbins United States M. R. Stebbins's profile →
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Citations per year

Countries citing papers authored by F. Cavalièri

Since Specialization
Citations

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

Fields of papers citing papers by F. Cavalièri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Cavalièri, 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 F. Cavalièri Line = papers co-authored together F. Cavalièri 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
HPV16 E7 protein associates with the protein kinase p33CDK2 and cyclin A.
1993122
2 1992113
3 198742
4 198541
5 199027
6 199124
7
N-myc proto-oncogene expression can induce DNA replication in Balb/c 3T3 fibroblasts.
198822
8 198120
9 199617
10 198113
11 198012
12 199211
13 19966
14 19833
15 19913
16
Secretion of heterologous proteins in Streptococcus gordonii (Streptococcus sanguis) Challis.
19933
17 19922
18
[Presence of enteric viruses in non-diarrheic canine stools].
19802
19 19821
20
Characteristics of three new avian sarcoma viruses, ASV 9, ASV 17, and ASV 25.
19841

About F. Cavalièri

F. Cavalièri is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Epidemiology and Infectious Diseases, having authored 21 papers that have together received 486 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Animal Virus Infections Studies (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Plant Virus Research Studies (4 papers), Cervical Cancer and HPV Research (3 papers), Streptococcal Infections and Treatments (2 papers), Hepatitis B Virus Studies (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Infectious Diseases (81 citations), Virology (20 citations), Epidemiology (137 citations), Genetics (116 citations) and Oncology (98 citations). F. Cavalièri has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Massimo Tommasino, Mario Contorni, Mitchell Goldfarb, Marco R. Oggioni, Gianni Pozzi, Vincent A. Fischetti, Riccardo Manganelli, Tim Hunt, Françoise Carlotti and J P Adamczewski. Their work appears in journals such as Archives of Virology, Gene, Critical Reviews in Eukaryotic Gene Expression, Journal of Hepatology and Biochemical and Biophysical Research Communications.

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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