Flavia Ferrantelli

1.8k citations
50 papers · 1.5k · h-index 23

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • HIV Research and Treatment 26
    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 7

Flavia Ferrantelli

50 papers receiving 1.4k citations

Peers

Flavia Ferrantelli
Comparison fields: 5 of 74
  • Virology 779
  • Immunology 479
  • Infectious Diseases 400
  • Cancer Research 147
  • Molecular Biology 640
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Citations per field
00.5×1.5×
Alessia Liguori · 1×
Citations per year

Countries citing papers authored by Flavia Ferrantelli

Since Specialization
Citations

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

Fields of papers citing papers by Flavia Ferrantelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001142
2 2004133
3 201794
4 200390
5 200278
6 201766
7 200453
8 201248
9
Terminally differentiated skeletal myotubes are not confined to G0 but can enter G1 upon growth factor stimulation.
199644
10 201842
11 201837
12 200436
13 200036
14 200634
15 201732
16 200431
17 201931
18 200230
19 200030
20 200730

About Flavia Ferrantelli

Flavia Ferrantelli is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (26 papers), Extracellular vesicles in disease (20 papers), Immunotherapy and Immune Responses (12 papers), HIV/AIDS Research and Interventions (8 papers), Immune Cell Function and Interaction (7 papers), RNA Interference and Gene Delivery (7 papers), HIV/AIDS drug development and treatment (6 papers) and vaccines and immunoinformatics approaches (6 papers). The work is most often cited by research in Virology (779 citations), Immunology (479 citations), Infectious Diseases (400 citations), Cancer Research (147 citations) and Molecular Biology (640 citations). Flavia Ferrantelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Ruth M. Ruprecht, Maurizio Federico, Chiara Chiozzini, Francesco Manfredi, Eleonora Olivetta, Claudia Arenaccio, Robert A. Rasmussen, Harold M. McClure, Gabriela M. Stiegler and Hermann W. D. Katinger. Their work appears in journals such as Vaccines, Vaccine, Journal of Virology, PLoS ONE and Journal of General Virology.

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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