Lorne Taylor

2.3k citations
14 papers · 1.0k · h-index 11

Impact in

    • Microtubule and mitosis dynamics
    • 14-3-3 protein interactions
    • Ubiquitin and proteasome pathways
    • Protein Kinase Regulation and GTPase Signaling
    • Glycosylation and Glycoproteins Research

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Lipid Membrane Structure and Behavior 2
    • Cytokine Signaling Pathways and Interactions 2

Lorne Taylor

13 papers receiving 1.0k citations

Peers

Lorne Taylor
Comparison fields: 5 of 88
  • Cell Biology 218
  • Molecular Biology 817
  • Spectroscopy 146
  • Immunology and Allergy 30
  • Aging 8
Replace С. И. Ткачев with:
С. И. Ткачев Russia
Nicole St‐Denis Canada
Philippe Kischel France
Russell Bandle United States
Carolyn Weinbaum United States
Özge Karayel Germany
Brian J. Dewar United States
Laxmikanth Kollipara Germany
Anna-Kathrine Pedersen Denmark
Malik M. Keshwani United States
Lorne Taylor relative to С. И. Ткачев Russia С. И. Ткачев's profile →
Citations per field
00.5×1.5×1.8×
С. И. Ткачев · 1×
Citations per year

Countries citing papers authored by Lorne Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Lorne Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004378
2 2013228
3 2011175
4 200866
5 201354
6 201429
7 202224
8 200016
9 202114
10 201310
11 201610
12 20149
13 19886
14 20000

About Lorne Taylor

Lorne Taylor is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Immunology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cellular Mechanics and Interactions (2 papers), RNA Research and Splicing (2 papers), Mast cells and histamine (2 papers), Lipid Membrane Structure and Behavior (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (218 citations), Molecular Biology (817 citations), Spectroscopy (146 citations), Immunology and Allergy (30 citations) and Aging (8 citations). Lorne Taylor has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Tony Pawson, Stephen Tate, Pavel Metalnikov, Jing Jin, James R. Woodgett, Paul O’Donnell, J. Paul Fawcett, Gordana Ivosev, Paul Taylor and Alexandre Zougman. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Molecular Cell, Current Biology and Nature.

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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