Barbara Cervasi

3.5k citations
36 papers · 1.7k indexed · h-index 21

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • HIV Research and Treatment 28
    • Immune Cell Function and Interaction 24
    • T-cell and B-cell Immunology 13

Barbara Cervasi

36 papers receiving 1.6k citations

Peers

Barbara Cervasi
Comparison fields: 5 of 95
  • Virology 1.1k
  • Immunology 977
  • Infectious Diseases 412
  • Emergency Medicine 160
  • Biological Psychiatry 31
Replace Rika Draenert with:
Rika Draenert Germany
Bonnie M. Slike United States
Yi‐Qun Kuang China
Gabriel Catano United States
Alexandra M. Ortiz United States
E Balestra Italy
Benton Lawson United States
Jose L. Matud United States
Susana Asin United States
Donald R. Skillman United States
Barbara Cervasi relative to Rika Draenert Germany Rika Draenert's profile →
Citations per field
00.5×1.6×
Rika Draenert · 1×
Citations per year

Countries citing papers authored by Barbara Cervasi

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Cervasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20223
2 201920
3 201810
4 201718
5 201414
6 201314
7 201375
8 201025
9 201011
10 201098
11 201071
12 200897
13 200827
14 200792
15 200531
16 2005191
17 200423
18 200420
19 200322
20 200316

About Barbara Cervasi

Barbara Cervasi is a scholar working on Virology, Immunology, Toxicology, Epidemiology and Biological Psychiatry, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (24 papers), T-cell and B-cell Immunology (13 papers), Cytomegalovirus and herpesvirus research (11 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Cancer Research and Treatments (2 papers), HIV/AIDS drug development and treatment (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (977 citations), Infectious Diseases (412 citations), Emergency Medicine (160 citations) and Biological Psychiatry (31 citations). Barbara Cervasi has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mirko Paiardini, Guido Silvestri, James G. Else, Ian Frank, Jason M. Brenchley, Mauro Magnani, Shari N. Gordon, Daniel C. Douek, Donald L. Sodora and Timothy W. Schacker. Their work appears in journals such as Journal of Virology, The Journal of Immunology, PLoS Pathogens, Blood and Journal of Leukocyte Biology.

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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