Jacqueline Bixby

647 citations
9 papers · 514 · h-index 6

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • HIV Research and Treatment 6
    • HIV/AIDS drug development and treatment 3
    • SARS-CoV-2 and COVID-19 Research 2
    • HIV/AIDS Research and Interventions 1

Jacqueline Bixby

9 papers receiving 504 citations

Peers

Jacqueline Bixby
Comparison fields: 5 of 61
  • Virology 135
  • Immunology 212
  • Molecular Biology 300
  • Infectious Diseases 75
  • Cancer Research 55
Replace Michael L. Key with:
Michael L. Key United States
Emma L. Turnbull United Kingdom
Mayra Solis Canada
Rongjuan Pei China
Tracey Filzen United States
Matthias Hamdorf Germany
Arianna Scoglio Italy
Pehuén Pereyra Gerber Argentina
Jennifer Vogt United States
Julian D. Harris United Kingdom
Jacqueline Bixby relative to Michael L. Key United States Michael L. Key's profile →
Citations per field
00.5×10×16×
Michael L. Key · 1×
Citations per year

Countries citing papers authored by Jacqueline Bixby

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Bixby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2003373
2 200658
3 200821
4 200821
5 201017
6 200614
7 20055
8 20144
9 20091

About Jacqueline Bixby

Jacqueline Bixby is a scholar working on Virology, Infectious Diseases, Molecular Biology, Ecology and Organic Chemistry, having authored 9 papers that have together received 514 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (3 papers), Bacteriophages and microbial interactions (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Cell death mechanisms and regulation (2 papers), HIV/AIDS Research and Interventions (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Virology (135 citations), Immunology (212 citations), Molecular Biology (300 citations), Infectious Diseases (75 citations) and Cancer Research (55 citations). Jacqueline Bixby has collaborated with scholars based in United States. Frequent co-authors include Francis Ka-Ming Chan, Martin Felices, Joanna L. Shisler, Bernard Moss, Michael J. Lenardo, Lixin Zheng, Michael Appel, Ronald C. Desrosiers, Welkin E. Johnson and Eloísa Yuste. Their work appears in journals such as Journal of Virology, PLoS ONE, AIDS Research and Human Retroviruses, Journal of Biological Chemistry and The Journal of Immunology.

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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