Pablo D. Becker

2.8k citations
51 papers · 1.6k · h-index 26

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Virology top 5%

Papers in

    • Immunotherapy and Immune Responses 19
    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 13
    • Immune Response and Inflammation 7
    • Hepatitis B Virus Studies 3

Pablo D. Becker

51 papers receiving 1.6k citations

Peers

Pablo D. Becker
Comparison fields: 5 of 97
  • Immunology 747
  • Virology 105
  • Transplantation 43
  • Pharmaceutical Science 104
  • Biotechnology 115
Replace Noelene E. Byars with:
Noelene E. Byars United States
Paula M. Chilton United States
Margaret A. Baird New Zealand
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M W Turner United Kingdom
Amiran Dzutsev United States
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Folkert Steinhagen Germany
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Citations per field
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Noelene E. Byars · 1×
Citations per year

Countries citing papers authored by Pablo D. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Pablo D. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo D. Becker. 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 Pablo D. Becker. The network helps show where Pablo D. Becker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015167
2 200983
3 201379
4 200777
5 200775
6 201667
7 201163
8 201561
9 201059
10 200554
11 201854
12 200847
13 202146
14 200846
15 200842
16 201041
17 201239
18 201135
19 200935
20 200535

About Pablo D. Becker

Pablo D. Becker is a scholar working on Immunology, Epidemiology, Molecular Biology, Virology and Oncology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (13 papers), Immune Response and Inflammation (7 papers), HIV Research and Treatment (6 papers), vaccines and immunoinformatics approaches (4 papers), Hepatitis B Virus Studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (747 citations), Virology (105 citations), Transplantation (43 citations), Pharmaceutical Science (104 citations) and Biotechnology (115 citations). Pablo D. Becker has collaborated with scholars based in Germany, United Kingdom and Argentina. Frequent co-authors include Carlos A. Guzmán, Linda S. Klavinskis, Giovanna Lombardi, Ricardo S. Corral, Claudia Link, Thomas Ebensen, Emilio L. Malchiodi, Fernanda M. Frank, Silvia I. Cazorla and Robert I. Lechler. Their work appears in journals such as Vaccine, Proceedings of the National Academy of Sciences, Scientific Reports, PLoS ONE and The Journal of 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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