Gary A. Beaudry

1.9k citations
18 papers · 970 indexed · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Molecular Biology Techniques and Applications
    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • Gene expression and cancer classification

Papers in

Gary A. Beaudry

18 papers receiving 928 citations

Peers

Gary A. Beaudry
Comparison fields: 5 of 78
  • Virology 212
  • Molecular Biology 595
  • Immunology 166
  • Infectious Diseases 135
  • Biochemistry 52
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Citations per year

Countries citing papers authored by Gary A. Beaudry

Since Specialization
Citations

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

Fields of papers citing papers by Gary A. Beaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Beaudry. 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 Gary A. Beaudry. The network helps show where Gary A. Beaudry may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201556
2
Serial analysis of gene expression in non-small cell lung cancer.
1998149
3 1997138
4 199618
5
Induction of cell growth regulatory genes by p53.
199674
6 1995198
7 19955
8 199332
9 199225
10 199034
11 199016
12 198916
13
[Use of cultured, virus-infected cells to study the biogenesis of polarity of epithelial cells].
19882
14 1986116
15 198521
16 198427
17 198316
18 198227

About Gary A. Beaudry

Gary A. Beaudry is a scholar working on Virology, Clinical Biochemistry, Biochemistry, Biotechnology and Cancer Research, having authored 18 papers that have together received 970 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Pancreatic function and diabetes (3 papers), HIV Research and Treatment (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Immune Cell Function and Interaction (2 papers), RNA modifications and cancer (2 papers), Biochemical effects in animals (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Virology (212 citations), Molecular Biology (595 citations), Immunology (166 citations), Infectious Diseases (135 citations) and Biochemistry (52 citations). Gary A. Beaudry has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Arthur H. Bertelsen, Elizabeth Galella, Stephen F. Madden, Paul J. Maddon, Graham P. Allaway, Moseley Waite, Larry W. Daniel, Karen Davis‐Bruno, Lynn King and Marie‐Claire Gauduin. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, AIDS Research and Human Retroviruses, Proceedings of the National Academy of Sciences and Journal of Clinical Microbiology.

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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