Florencia Pereyra

13.7k citations
74 papers · 6.1k indexed · h-index 44
  • Virology top 0.05%
    • HIV Research and Treatment 66
  • Immunology top 0.5%
    • Immune Cell Function and Interaction 51
    • T-cell and B-cell Immunology 23
    • Reproductive System and Pregnancy 8
    • HIV/AIDS drug development and treatment 11
    • HIV/AIDS Research and Interventions 10
    • HIV-related health complications and treatments 5
    • Cytomegalovirus and herpesvirus research 9

Florencia Pereyra

74 papers receiving 6.0k citations

Peers

Florencia Pereyra
Comparison fields: 5 of 125
  • Virology 4.2k
  • Immunology 3.7k
  • Infectious Diseases 1.8k
  • Emergency Medicine 394
  • Epidemiology 1.1k
Replace Stephen A. Migueles with:
Stephen A. Migueles United States
Hendrik Streeck United States
C. David Pauza United States
Xu G. Yu United States
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Guido Ferrari United States
Celsa A. Spina United States
Hiroshi Mohri Japan
Anthony L. DeVico United States
M Tersmette Netherlands
Florencia Pereyra relative to Stephen A. Migueles United States Stephen A. Migueles's profile →
Citations per field
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Citations per year

Countries citing papers authored by Florencia Pereyra

Since Specialization
Citations

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

Fields of papers citing papers by Florencia Pereyra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20191
2 20142
3 201440
4 201417
5 201368
6 201310
7 201244
8 2012124
9 201177
10 2011136
11 2011123
12 2011257
13 201154
14 201084
15 201053
16 2009225
17 200972
18 200859
19 200780
20 200479

About Florencia Pereyra

Florencia Pereyra is a scholar working on Virology, Immunology and Infectious Diseases, having authored 74 papers that have together received 6.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (66 papers), Immune Cell Function and Interaction (51 papers), T-cell and B-cell Immunology (23 papers), HIV/AIDS drug development and treatment (11 papers), HIV/AIDS Research and Interventions (10 papers), Cytomegalovirus and herpesvirus research (9 papers), Reproductive System and Pregnancy (8 papers) and HIV-related health complications and treatments (5 papers). The work is most often cited by research in Virology (4.2k citations), Immunology (3.7k citations) and Infectious Diseases (1.8k citations). Florencia Pereyra has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Bruce D. Walker, Toshiyuki Miura, Eric Rosenberg, Mathias Lichterfeld, Xu G. Yu, Todd M. Allen, Mark A. Brockman, María J. Buzón, Alicja Trocha and B.M. Baker. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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