Patrick Beaudette

598 citations
8 papers · 480 · h-index 8

Impact in

    • Biosimilars and Bioanalytical Methods
    • interferon and immune responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • Ubiquitin and proteasome pathways 2
    • Mitochondrial Function and Pathology 1
    • Fungal and yeast genetics research 1
    • NF-κB Signaling Pathways 1

Patrick Beaudette

8 papers receiving 466 citations

Peers

Patrick Beaudette
Comparison fields: 5 of 81
  • Immunology 182
  • Cancer Research 68
  • Neurology 51
  • Molecular Biology 237
  • Epidemiology 91
Replace Yaping Sun with:
Yaping Sun United States
Rie Kinoshita Japan
Marta Brewińska‐Olchowik Poland
Dianhong Luo United States
Rita Moreno Germany
Jonathan P. Bernardini Australia
Sandeep Artham United States
Xiadi He China
Jeffrey J. Rodvold United States
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Citations per field
00.5×2×3×4.1×
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Citations per year

Countries citing papers authored by Patrick Beaudette

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Beaudette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013172
2 2004115
3 201549
4 201445
5 201536
6 201629
7 201823
8 201111

About Patrick Beaudette

Patrick Beaudette is a scholar working on Molecular Biology, Cancer Research, Immunology, Pharmacology and Clinical Biochemistry, having authored 8 papers that have together received 480 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Advanced Proteomics Techniques and Applications (1 paper), NF-κB Signaling Pathways (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Immunology (182 citations), Cancer Research (68 citations), Neurology (51 citations), Molecular Biology (237 citations) and Epidemiology (91 citations). Patrick Beaudette has collaborated with scholars based in Germany, Canada and Italy. Frequent co-authors include Kevin P. Bateman, Gunnar Dittmar, Oliver Popp, Jörg Tatzelt, Dietrich Trümbach, Silvana Hrelia, Peer‐Hendrik Kuhn, Thomas Langer, Kamyar Hadian and Wolfgang Wurst. Their work appears in journals such as Kidney International, Journal of Chromatography B, The EMBO Journal, Cell Reports and PROTEOMICS.

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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