Chiara Bovolenta

2.0k citations
45 papers · 1.6k indexed · h-index 22
  • Virology top 2%
    • HIV Research and Treatment 13
  • Immunology top 5%
    • Immune Cell Function and Interaction 15
    • T-cell and B-cell Immunology 6
    • interferon and immune responses 5
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions 11
  • Genetics top 5%
    • Virus-based gene therapy research 14
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • RNA Interference and Gene Delivery 6

Chiara Bovolenta

45 papers receiving 1.6k citations

Peers

Chiara Bovolenta
Comparison fields: 5 of 78
  • Virology 350
  • Immunology 839
  • Oncology 580
  • Genetics 440
  • Molecular Biology 660
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H J Kung United States
J M Zarling United States
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Nadine Zangger Switzerland
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Chiara Bovolenta relative to H J Kung United States H J Kung's profile →
Citations per field
00.5×4.1×
H J Kung · 1×
Citations per year

Countries citing papers authored by Chiara Bovolenta

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Bovolenta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2017159
2 201711
3 201716
4 201610
5 20136
6 201334
7 200962
8 200714
9 200516
10 20042
11 200218
12
IFN-gamma and IL-12 differentially regulate CC-chemokine secretion and CCR5 expression in human T lymphocytes.
200225
13 199949
14 199837
15 199831
16 199854
17 19931
18
Epidermal growth factor induces, in the EL alpha 4-2 cell line, herpes simplex virus-1 alpha 4 gene transcription in the absence of the viral trans-activator VP16
19912
19 19914
20 198758

About Chiara Bovolenta

Chiara Bovolenta is a scholar working on Virology, Immunology and Oncology, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Virus-based gene therapy research (14 papers), HIV Research and Treatment (13 papers), Cytokine Signaling Pathways and Interactions (11 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), RNA Interference and Gene Delivery (6 papers), T-cell and B-cell Immunology (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Virology (350 citations), Immunology (839 citations) and Oncology (580 citations). Chiara Bovolenta has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Otto-Wilhelm Merten, Matthias Hebben, Marco A. Cassatella, Guido Poli, Sara Gasperini, Patrick P. McDonald, Elisa Vicenzi, Adriano Lazzarin, J E Coligan and Asuka Suzuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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