Aurelio Cafaro

5.1k citations
91 papers · 3.2k indexed · h-index 30

Impact in

  • Virology top 0.2%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 67
    • Immunotherapy and Immune Responses 26
    • Immune Cell Function and Interaction 23
    • T-cell and B-cell Immunology 16

Aurelio Cafaro

89 papers receiving 3.2k citations

Peers

Aurelio Cafaro
Comparison fields: 5 of 95
  • Virology 1.7k
  • Immunology 1.5k
  • Infectious Diseases 606
  • Oncology 651
  • Epidemiology 756
Replace Naoki Oyaizu with:
Naoki Oyaizu Japan
Yosef Refaeli United States
Valeria Fiorelli Italy
Jean‐Gérard Guillet France
Reiko Namikawa United States
R C Gallo United States
Richard J. Gulizia United States
Nancy Ruffing United States
Marvin S. Reitz United States
Yacov Ron United States
Aurelio Cafaro relative to Naoki Oyaizu Japan Naoki Oyaizu's profile →
Citations per field
00.5×1.5×2.4×
Naoki Oyaizu · 1×
Citations per year

Countries citing papers authored by Aurelio Cafaro

Since Specialization
Citations

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

Fields of papers citing papers by Aurelio Cafaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202415
2 201514
3 201413
4 201447
5 201123
6 200999
7 200941
8 200911
9 200926
10 200729
11 200536
12 200535
13 200353
14 200327
15 2002123
16 200178
17 200133
18 1999227
19 199535
20 19949

About Aurelio Cafaro

Aurelio Cafaro is a scholar working on Virology, Immunology, Epidemiology, Immunology and Allergy and Infectious Diseases, having authored 91 papers that have together received 3.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (67 papers), Immunotherapy and Immune Responses (26 papers), Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (16 papers), vaccines and immunoinformatics approaches (14 papers), Herpesvirus Infections and Treatments (9 papers), Virology and Viral Diseases (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Virology (1.7k citations), Immunology (1.5k citations), Infectious Diseases (606 citations), Oncology (651 citations) and Epidemiology (756 citations). Aurelio Cafaro has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Barbara Ensoli, Valeria Fiorelli, Antonella Caputo, Sandra Colombini, Paolo Monini, Giovanni Barillari, Phillip D. Markham, Robert C. Gallo, Hsiao-Kuey Chang and Mark Raffeld. Their work appears in journals such as Vaccine, The Journal of Immunology, AIDS, Journal of Virology and 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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