Vincent Shaw

978 citations
13 papers · 357 · h-index 10

Impact in

    • Lipid metabolism and biosynthesis
    • Receptor Mechanisms and Signaling
    • Protein Kinase Regulation and GTPase Signaling
    • RNA and protein synthesis mechanisms
    • Plant biochemistry and biosynthesis
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Receptor Mechanisms and Signaling 4
    • Protein Structure and Dynamics 3
    • Lipid metabolism and biosynthesis 3

Vincent Shaw

13 papers receiving 354 citations

Peers

Vincent Shaw
Comparison fields: 5 of 75
  • Biochemistry 125
  • Molecular Biology 236
  • Aging 5
  • Genetics 59
  • Plant Science 78
Replace Ida Suppanz with:
Ida Suppanz Germany
Antonio Chaves-Sanjuán Italy
Birgit Ploier Austria
Keita Nakanaga Japan
Marco M. Manni Spain
Katharina Thiel Germany
Nanda G. Aduri Denmark
H. Kagamiyama Japan
Cierra N. Sing United States
Wendy S. Smith United Kingdom
Vincent Shaw relative to Ida Suppanz Germany Ida Suppanz's profile →
Citations per field
00.5×1.5×1.8×
Ida Suppanz · 1×
Citations per year

Countries citing papers authored by Vincent Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201770
2 201564
3 201445
4 201443
5 201827
6 202022
7 201820
8 202216
9 201713
10 201813
11 20198
12 20198
13
Appetite suppressants as adjuncts for weight loss.
20118

About Vincent Shaw

Vincent Shaw is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Genetics and Biomedical Engineering, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (4 papers), Lipid metabolism and biosynthesis (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Biodiesel Production and Applications (2 papers), Genomics and Rare Diseases (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Biochemistry (125 citations), Molecular Biology (236 citations), Aging (5 citations), Genetics (59 citations) and Plant Science (78 citations). Vincent Shaw has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Richard R. Neubig, John B. Ohlrogge, Harish Vashisth, Huijie Feng, Benita Sjögren, Behirda Karaj, Timothy P. Durrett, Weili Yang, Mike Pollard and Hyun-Woo Park. Their work appears in journals such as Molecular Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Journal of the American Chemical Society, Plant Cell Reports and Proteins Structure Function and Bioinformatics.

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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