S. Gafà

425 citations
6 papers · 291 · h-index 6

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV/AIDS drug development and treatment 2
    • HIV/AIDS Research and Interventions 2
    • HIV, Drug Use, Sexual Risk 3
    • Hepatitis B Virus Studies 1

S. Gafà

6 papers receiving 279 citations

Peers

S. Gafà
Comparison fields: 5 of 46
  • Virology 96
  • Infectious Diseases 186
  • Microbiology 31
  • General Health Professions 96
  • Hepatology 30
Replace Paolo Costigliola with:
Paolo Costigliola Italy
Ken McLean United Kingdom
B G Evans United Kingdom
Tefera Sahlu Ethiopia
Mohamed Sylla Canada
J Mok United Kingdom
Manjeetha Jaggernath United States
Robert Soudré Burkina Faso
Supachai Saisorn Thailand
Serge Tonen‐Wolyec Democratic Republic of the Congo
S. Gafà relative to Paolo Costigliola Italy Paolo Costigliola's profile →
Citations per field
00.5×1.5×
Paolo Costigliola · 1×
Citations per year

Countries citing papers authored by S. Gafà

Since Specialization
Citations

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

Fields of papers citing papers by S. Gafà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Man-to-woman sexual transmission of HIV: longitudinal study of 343 steady partners of infected men.
1993143
2 198950
3 199542
4 199428
5 199323
6 19935

About S. Gafà

S. Gafà is a scholar working on Infectious Diseases, Epidemiology, Virology, Hepatology and Genetics, having authored 6 papers that have together received 291 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Hepatitis C virus research (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Hepatitis B Virus Studies (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Virology (96 citations), Infectious Diseases (186 citations), Microbiology (31 citations), General Health Professions (96 citations) and Hepatology (30 citations). S. Gafà has collaborated with scholars based in Italy, Croatia and United States. Frequent co-authors include Gioacchino Angarano, Roberto Luzzati, Paolo Costigliola, Giovanna Gavazzeni, A. Saracco, Claudio Arici, Cristina Gervasoni, Massimo Musicco, Anna Elisa Nicolosi and Adriano Lazzarin. Their work appears in journals such as AIDS, Journal of Infection and PubMed.

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.

Explore authors with similar magnitude of impact