Lorne Taylor

2.3k citations
14 papers · 1.0k indexed · 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

Lorne Taylor

14 papers receiving 999 citations

Peers

Lorne Taylor
Comparison fields: 5 of 89
  • Cell Biology 225
  • Molecular Biology 834
  • Spectroscopy 147
  • Aging 9
  • Immunology and Allergy 31
Replace Philippe Kischel with:
Philippe Kischel France
С. И. Ткачев Russia
Özge Karayel Germany
Mogens M. Nielsen Denmark
Malik M. Keshwani United States
Anna-Kathrine Pedersen Denmark
Slobodan Poznanović Germany
Jürgen Kast Germany
Christian Rohlff United States
Shadi Abu‐Baker United States
Lorne Taylor relative to Philippe Kischel France Philippe Kischel's profile →
Citations per field
00.5×2.9×
Philippe Kischel · 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-authorship network

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 202224
2 202111
3 201610
4 201429
5 20149
6 2013223
7 201354
8 201310
9 2011175
10 200866
11 2004375
12 200017
13 20001
14 19886

About Lorne Taylor

Lorne Taylor is a scholar working on Biological Psychiatry, Biochemistry, Molecular Biology, Obstetrics and Gynecology and Cell Biology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Cellular Mechanics and Interactions (2 papers), Mast cells and histamine (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA Research and Splicing (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cell Biology (225 citations), Molecular Biology (834 citations), Spectroscopy (147 citations), Aging (9 citations) and Immunology and Allergy (31 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, Chris Stark, Clark D. Wells, R. F. Bonner, Nicolas Bisson and Sarang Kulkarni. Their work appears in journals such as Blood, Molecular and Cellular Biology, PROTEOMICS, Current Biology and Journal of Proteome Research.

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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