Stefania Capone

4.3k citations
71 papers · 3.5k · h-index 33

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Hepatitis C virus research 24
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 3

Stefania Capone

71 papers receiving 3.4k citations

Peers

Stefania Capone
Comparison fields: 5 of 60
  • Hepatology 1.0k
  • Virology 173
  • Immunology 421
  • Infectious Diseases 310
  • Epidemiology 413
Replace Antonella Folgori with:
Antonella Folgori Italy
Stefano Colloca Italy
Loredana Siani United Kingdom
Virginia Ammendola United Kingdom
Michael A. Chattergoon United States
Daniel P. Webster United Kingdom
Anthony Brown United Kingdom
Linda Buonocore United States
Fabiana Grazioli Italy
Isabelle Desombere Belgium
Stefania Capone relative to Antonella Folgori Italy Antonella Folgori's profile →
Citations per field
00.5×1.5×
Antonella Folgori · 1×
Citations per year

Countries citing papers authored by Stefania Capone

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Capone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012349
2 2014283
3 2006263
4 2012256
5 2021134
6 2015114
7 2000111
8 2012107
9 2015103
10 2021103
11 200681
12 201378
13 201073
14 200671
15 201067
16 201465
17 201865
18 201257
19 201456
20 201556

About Stefania Capone

Stefania Capone is a scholar working on Hepatology, Immunology, Virology, Infectious Diseases and Epidemiology, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (24 papers), Respiratory viral infections research (8 papers), T-cell and B-cell Immunology (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Rabies epidemiology and control (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hepatology (1.0k citations), Virology (173 citations), Immunology (421 citations), Infectious Diseases (310 citations) and Epidemiology (413 citations). Stefania Capone has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Antonella Folgori, Alfredo Nicosia, Riccardo Cortese, Stefano Colloca, Alessandra Vitelli, Paul Klenerman, Barbara Rehermann, Elena Fattori, Elisa Scarselli and Alessandra Luzzago. Their work appears in journals such as Science Translational Medicine, Hepatology, Journal of Hepatology, npj Vaccines and Journal of 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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