Filippo Cavalieri

18 papers receiving 328 citations

Peers

Filippo Cavalieri
Comparison fields: 5 of 59
  • Infectious Diseases 74
  • Virology 14
  • Microbiology 18
  • Genetics 72
  • Molecular Biology 178
Replace Daniel T. Passos with:
Daniel T. Passos Brazil
Mark F. Wiser United States
Nicoletta Scheller Germany
Robert J. Scibienski United States
Katarzyna Kokoszyńska Poland
H van der Gulden Netherlands
Sally M. Harrison United Kingdom
Renato Santos Rodarte Brazil
Eugene V. Snezhkov Russia
Elnaz Agi Iran
Filippo Cavalieri relative to Daniel T. Passos Brazil Daniel T. Passos's profile →
Citations per field
00.5×1.7×
Daniel T. Passos · 1×
Citations per year

Countries citing papers authored by Filippo Cavalieri

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Cavalieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1992111
2 198540
3 198740
4 199027
5 199124
6
N-myc proto-oncogene expression can induce DNA replication in Balb/c 3T3 fibroblasts.
198820
7 198119
8 199617
9 198113
10 198012
11 199211
12 19966
13 19833
14 19913
15
Secretion of heterologous proteins in Streptococcus gordonii (Streptococcus sanguis) Challis.
19933
16 19922
17 19821
18 19841
19
Characteristics of three new avian sarcoma viruses, ASV 9, ASV 17, and ASV 25.
19841

About Filippo Cavalieri

Filippo Cavalieri is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Epidemiology and Hepatology, having authored 19 papers that have together received 354 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (5 papers), Plant Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), CRISPR and Genetic Engineering (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Polyomavirus and related diseases (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Infectious Diseases (74 citations), Virology (14 citations), Microbiology (18 citations), Genetics (72 citations) and Molecular Biology (178 citations). Filippo Cavalieri has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Mitchell P. Goldfarb, Mario Contorni, Massimo Tommasino, Gianni Pozzi, Marco Rinaldo Oggioni, Vincent A. Fischetti, Riccardo Manganelli, Jorge Peries, Peter K. Vogt and Stephen H. Benedict. Their work appears in journals such as Archives of Virology, Gene, Journal of General Virology, Infection and Immunity and Molecular and Cellular Biology.

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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