Roberta D’Arrigo

1.4k citations
46 papers · 1.3k · h-index 22

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 33
    • HIV/AIDS Research and Interventions 5
    • HIV Research and Treatment 16

Roberta D’Arrigo

44 papers receiving 1.2k citations

Peers

Roberta D’Arrigo
Comparison fields: 5 of 60
  • Virology 407
  • Infectious Diseases 856
  • Genetics 91
  • Hepatology 25
  • Pharmacology 14
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Caterina Gori Italy
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Citations per field
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Citations per year

Countries citing papers authored by Roberta D’Arrigo

Since Specialization
Citations

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

Fields of papers citing papers by Roberta D’Arrigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberta D’Arrigo. 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 Roberta D’Arrigo. The network helps show where Roberta D’Arrigo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterization and structural analysis of HIV-1 integrase conservation.
2009128
2 2006100
3 200176
4 201476
5 200462
6 201055
7 201250
8 200549
9 201144
10 201144
11
Performance of genotypic tropism testing in clinical practice using the enhanced sensitivity version of Trofile as reference assay: results from the OSCAR Study Group.
201040
12 200536
13 200835
14 200430
15 200530
16 201129
17 200928
18 200326
19 200425
20 201124

About Roberta D’Arrigo

Roberta D’Arrigo is a scholar working on Infectious Diseases, Virology, Hepatology, Pharmacology and Pharmacology, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (33 papers), HIV Research and Treatment (16 papers), HIV/AIDS Research and Interventions (5 papers), Pharmacogenetics and Drug Metabolism (2 papers), Hepatitis C virus research (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Virus-based gene therapy research (1 paper) and Drug-Induced Adverse Reactions (1 paper). The work is most often cited by research in Virology (407 citations), Infectious Diseases (856 citations), Genetics (91 citations), Hepatology (25 citations) and Pharmacology (14 citations). Roberta D’Arrigo has collaborated with scholars based in Italy, United States and Cameroon. Frequent co-authors include Carlo Federico Perno, Francesca Ceccherini‐Silberstein, Andrea Antinori, Caterina Gori, Valentina Svicher, Anne‐Geneviève Marcelin, Isabelle Malet, Federica Forbici, Massimo Ciccozzi and Ada Bertoli. Their work appears in journals such as AIDS Research and Human Retroviruses, The Journal of Infectious Diseases, Antiviral Therapy, Journal of Antimicrobial Chemotherapy and Scandinavian Journal of Infectious Diseases.

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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