Peter Silvera

3.6k citations
39 papers · 1.6k · h-index 23

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • Poxvirus research and outbreaks
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 24
    • Poxvirus research and outbreaks 11
    • Immunotherapy and Immune Responses 14
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 4

Peter Silvera

38 papers receiving 1.6k citations

Peers

Peter Silvera
Comparison fields: 5 of 67
  • Virology 1.3k
  • Immunology 637
  • Epidemiology 624
  • Infectious Diseases 323
  • Molecular Biology 496
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Citations per field
00.5×5.1×
Kelly Stefano Cole · 1×
Citations per year

Countries citing papers authored by Peter Silvera

Since Specialization
Citations

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

Fields of papers citing papers by Peter Silvera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000165
2 2005100
3 200898
4 201086
5 201581
6 200279
7 201979
8 200777
9 201075
10 199173
11 200258
12 199556
13 199556
14 200954
15 201152
16 200245
17 200739
18 200332
19 200631
20 199831

About Peter Silvera

Peter Silvera is a scholar working on Virology, Immunology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (24 papers), Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (14 papers), Herpesvirus Infections and Treatments (13 papers), Poxvirus research and outbreaks (11 papers), HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Virology (1.3k citations), Immunology (637 citations), Epidemiology (624 citations), Infectious Diseases (323 citations) and Molecular Biology (496 citations). Peter Silvera has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mark G. Lewis, Jake Yalley-Ogunro, Douglas W. Grosenbach, Dennis E. Hruby, Aklile Berhanu, Jack Greenhouse, Neil Almond, Karen A. Kent, Julianna Lisziewicz and Franco Lori. Their work appears in journals such as Vaccine, AIDS, AIDS Research and Human Retroviruses, The Journal of Infectious Diseases and Journal of 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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