Sonja M. Best

6.9k citations
84 papers · 4.1k indexed · 1 hit paper · h-index 36

Impact in

Papers in

    • Viral Infections and Vectors 40
    • Viral Infections and Outbreaks Research 11
    • SARS-CoV-2 and COVID-19 Research 10
    • HIV Research and Treatment 10

Sonja M. Best

81 papers receiving 4.0k citations

Hit Papers

Zika Virus Targets Human STAT2 to Inhibit Type I Interferon Signaling 2016 · 614 citations
6142016202620192022200400600

Peers

Sonja M. Best
Comparison fields: 5 of 115
  • Infectious Diseases 2.7k
  • Public Health, Environmental and Occupational Health 1.9k
  • Virology 299
  • Parasitology 375
  • Immunology 890
Replace Guey‐Chuen Perng with:
Guey‐Chuen Perng United States
Helen M. Lazear United States
Kate D. Ryman United States
Kristen A. Bernard United States
Philippe Desprès France
Margo A. Brinton United States
Ricardo Galler Brazil
Thérèse Couderc France
Juthathip Mongkolsapaya United Kingdom
Michael S. Diamond United States
Sonja M. Best relative to Guey‐Chuen Perng United States Guey‐Chuen Perng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sonja M. Best

Since Specialization
Citations

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

Fields of papers citing papers by Sonja M. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonja M. Best. 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 Sonja M. Best. The network helps show where Sonja M. Best may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
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16 2021165
17 201784
18 201710
19 201212
20
Identification of a gene associated with chronic hepatitis B virus infection by genome-wide linkage analysis and family based association studies.
20003

About Sonja M. Best

Sonja M. Best is a scholar working on Infectious Diseases, Virology, Parasitology, Public Health, Environmental and Occupational Health and Animal Science and Zoology, having authored 84 papers that have together received 4.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (40 papers), Mosquito-borne diseases and control (39 papers), interferon and immune responses (13 papers), Virus-based gene therapy research (11 papers), Viral Infections and Outbreaks Research (11 papers), HIV Research and Treatment (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Animal Virus Infections Studies (9 papers). The work is most often cited by research in Infectious Diseases (2.7k citations), Public Health, Environmental and Occupational Health (1.9k citations), Virology (299 citations), Parasitology (375 citations) and Immunology (890 citations). Sonja M. Best has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Marshall E. Bloom, Shelly J. Robertson, Peter J. Kerr, James B. Wolfinbarger, Abhilash I. Chiramel, Adolfo Garcı́a-Sastre, Sanket S. Ponia, Megan Schwarz, Lisa Miorin and Marion Sourisseau. Their work appears in journals such as Journal of Virology, Virology, PLoS Pathogens, The Journal of Immunology and Viruses.

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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