Wayne M. Patrick

3.0k citations
62 papers · 2.2k · h-index 26

Impact in

    • Antibiotic Resistance in Bacteria
    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Genomics and Phylogenetic Studies

Papers in

    • Protein Structure and Dynamics 12
    • RNA and protein synthesis mechanisms 10
    • Microbial Metabolic Engineering and Bioproduction 9
    • Biochemical and Molecular Research 8
    • CRISPR and Genetic Engineering 8
    • Enzyme Structure and Function 17

Wayne M. Patrick

61 papers receiving 2.2k citations

Peers

Wayne M. Patrick
Comparison fields: 5 of 123
  • Molecular Medicine 170
  • Molecular Biology 1.6k
  • Biochemistry 138
  • Biotechnology 123
  • Genetics 288
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M.W. Vetting United States
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Citations per field
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Citations per year

Countries citing papers authored by Wayne M. Patrick

Since Specialization
Citations

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

Fields of papers citing papers by Wayne M. Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008232
2 2014183
3 2019166
4 2003141
5 2007141
6 200599
7 201392
8 201090
9 201488
10 200567
11 201765
12 202047
13 201846
14 202145
15 201445
16 200843
17 201934
18 201933
19 202132
20 201631

About Wayne M. Patrick

Wayne M. Patrick is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Genetics and Biochemistry, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (17 papers), Protein Structure and Dynamics (12 papers), Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Biochemical and Molecular Research (8 papers), CRISPR and Genetic Engineering (8 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Molecular Medicine (170 citations), Molecular Biology (1.6k citations), Biochemistry (138 citations), Biotechnology (123 citations) and Genetics (288 citations). Wayne M. Patrick has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Andrew E. Firth, Matteo P. Ferla, Monica L. Gerth, Iain L. Lamont, Jonathan M. Blackburn, Ichiro Matsumura, Valerie W. C. Soo, Daniel B. Swartzlander, Erik M. Quandt and Vickery L. Arcus. Their work appears in journals such as Journal of Biological Chemistry, Protein Engineering Design and Selection, Protein Science, PLoS ONE and Journal of Medical 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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