Fábio E. Leal

1.5k citations
40 papers · 567 · h-index 14

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and Retrovirus Studies

Papers in

    • T-cell and Retrovirus Studies 10
    • Immune Cell Function and Interaction 8
    • Galectins and Cancer Biology 3
    • SARS-CoV-2 and COVID-19 Research 4

Fábio E. Leal

36 papers receiving 557 citations

Peers

Fábio E. Leal
Comparison fields: 5 of 87
  • Virology 74
  • Immunology 221
  • Parasitology 62
  • Agronomy and Crop Science 80
  • General Dentistry 11
Replace Mary K. McCarthy with:
Mary K. McCarthy United States
Izaura Maria Vieira Cayres Vallinoto Brazil
Maria Alice Freitas Queiroz Brazil
Eugenio Ramı́rez Chile
N Balachandran United States
Jan P. Dudley United States
Mir A. Ali United States
Carolina Rosadas United Kingdom
Ronnie M. Russell United States
Robert S. van Binnendijk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Fábio E. Leal

Since Specialization
Citations

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

Fields of papers citing papers by Fábio E. Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio E. Leal. 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 Fábio E. Leal. The network helps show where Fábio E. Leal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200762
2 200860
3 202054
4 202153
5 202033
6 201727
7 201324
8 201123
9 202122
10 201718
11 200918
12 201717
13 200914
14 202113
15 202012
16 201312
17 202012
18 202111
19 201211
20 201711

About Fábio E. Leal

Fábio E. Leal is a scholar working on Immunology, Infectious Diseases, Agronomy and Crop Science, Epidemiology and Plant Science, having authored 40 papers that have together received 567 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Immune Cell Function and Interaction (8 papers), Animal Disease Management and Epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Long-Term Effects of COVID-19 (3 papers), Galectins and Cancer Biology (3 papers), Viral-associated cancers and disorders (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Virology (74 citations), Immunology (221 citations), Parasitology (62 citations), Agronomy and Crop Science (80 citations) and General Dentistry (11 citations). Fábio E. Leal has collaborated with scholars based in Brazil, United States and Paraguay. Frequent co-authors include Douglas F. Nixon, Esper G. Kallás, Lishomwa C. Ndhlovu, Marcelo A. Soares, Aluísio Augusto Cotrim Segurado, Miguel de Mulder Rougvie, Heitor Franco de Andrade, Aashish R. Jha, Jez L. Marston and João Silva de Mendonça. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, Frontiers in Oncology, PLoS neglected tropical diseases and Clinical Infectious Diseases.

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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