G. Achilli

494 citations
29 papers · 321 · h-index 12

Impact in

Papers in

G. Achilli

29 papers receiving 299 citations

Peers

G. Achilli
Comparison fields: 5 of 59
  • Virology 86
  • Infectious Diseases 125
  • Immunology 85
  • Epidemiology 123
  • Agronomy and Crop Science 38
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J. Kiss Hungary
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Citations per year

Countries citing papers authored by G. Achilli

Since Specialization
Citations

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

Fields of papers citing papers by G. Achilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197839
2 199335
3 198833
4 200127
5 198022
6 198718
7 197717
8 197917
9 198816
10 196916
11 197812
12
Sensitivity and specificity of anti-HIV ELISA employing recombinant (p24, p66, gp120) and synthetic (gp41) viral antigenic peptides.
199112
13 20009
14 19957
15 19806
16
Serologic study by enzyme-linked immunosorbent assay of the IgM antibody response in the patas monkey following experimental simian varicella virus infection.
19846
17
Concordance of HIV culture and PCR analysis in the diagnosis of vertically transmitted infection
19924
18 19894
19 19953
20
Kinetics of virus-specific IgG and IgM antibody response in patas monkeys experimentally infected with Delta herpesvirus by enzyme-linked immunosorbent assay.
19843

About G. Achilli

G. Achilli is a scholar working on Epidemiology, Infectious Diseases, Virology, Immunology and Genetics, having authored 29 papers that have together received 321 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (6 papers), Herpesvirus Infections and Treatments (6 papers), T-cell and Retrovirus Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Virus-based gene therapy research (4 papers), Animal Disease Management and Epidemiology (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Virology (86 citations), Infectious Diseases (125 citations), Immunology (85 citations), Epidemiology (123 citations) and Agronomy and Crop Science (38 citations). G. Achilli has collaborated with scholars based in Italy and United States. Frequent co-authors include E. Cattaneo, Giuseppe Gerna, Maria Grazia Revello, Franco Lori, Umberto Bertazzoni, Davide Zella, Claudio Casoli, G. Filice, A. Ivana Scovassi and Marco Salemi. Their work appears in journals such as Journal of Medical Virology, Journal of General Virology, The Journal of Infectious Diseases, Infection and Immunity and AIDS Research and Human Retroviruses.

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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