Gary A. Beaudry

1.9k citations
18 papers · 972 · h-index 16

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Glycosylation and Glycoproteins Research
    • Molecular Biology Techniques and Applications
    • Ubiquitin and proteasome pathways
    • Gene expression and cancer classification

Papers in

Gary A. Beaudry

18 papers receiving 932 citations

Peers

Gary A. Beaudry
Comparison fields: 5 of 76
  • Virology 208
  • Molecular Biology 570
  • Immunology 154
  • Biochemistry 52
  • Infectious Diseases 125
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Shozo Shoji Japan
Maria R. Conte United Kingdom
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Citations per field
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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 1995200
2
Serial analysis of gene expression in non-small cell lung cancer.
1998149
3 1997138
4 1986116
5
Induction of cell growth regulatory genes by p53.
199674
6 201556
7 199034
8 199332
9 198227
10 198427
11 199225
12 198521
13 199618
14 198316
15 198916
16 199016
17 19955
18
[Use of cultured, virus-infected cells to study the biogenesis of polarity of epithelial cells].
19882

About Gary A. Beaudry

Gary A. Beaudry is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Pharmacology, having authored 18 papers that have together received 972 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Pancreatic function and diabetes (3 papers), Inflammatory mediators and NSAID effects (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Virology (208 citations), Molecular Biology (570 citations), Immunology (154 citations), Biochemistry (52 citations) and Infectious Diseases (125 citations). Gary A. Beaudry has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Arthur H. Bertelsen, Elizabeth Galella, Graham P. Allaway, Paul J. Maddon, Larry W. Daniel, Moseley Waite, J. Steven McDougal, Lynn King, Karl W. Hasel 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, Oncogene and Biochemical and Biophysical Research Communications.

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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