David Traynor

2.8k citations
41 papers · 2.2k · h-index 26

Impact in

  • Cell Biology top 0.5%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Cellular transport and secretion
  • Aging top 5%

Papers in

    • Cellular Mechanics and Interactions 25
    • Microtubule and mitosis dynamics 15
    • Cellular transport and secretion 8
    • Protist diversity and phylogeny 4
    • Planarian Biology and Electrostimulation 3

David Traynor

39 papers receiving 2.1k citations

Peers

David Traynor
Comparison fields: 5 of 105
  • Cell Biology 1.2k
  • Aging 62
  • Molecular Biology 1.2k
  • Biophysics 98
  • Physiology 77
Replace Arturo De Lozanne with:
Arturo De Lozanne United States
Mineko Maeda Japan
Elias T. Spiliotis United States
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Douwe M. Veltman United Kingdom
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Citations per field
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Arturo De Lozanne · 1×
Citations per year

Countries citing papers authored by David Traynor

Since Specialization
Citations

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

Fields of papers citing papers by David Traynor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989162
2 2008160
3 2015145
4 1993139
5 2011120
6 2015106
7 2014102
8 2000102
9 199789
10 199585
11 199277
12 199967
13 199666
14 198965
15 202064
16 200762
17 201858
18 199950
19 200948
20 202035

About David Traynor

David Traynor is a scholar working on Cell Biology, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Physiology and Biomedical Engineering, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (25 papers), Microtubule and mitosis dynamics (15 papers), Cellular transport and secretion (8 papers), Biocrusts and Microbial Ecology (7 papers), 3D Printing in Biomedical Research (5 papers), Protist diversity and phylogeny (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Planarian Biology and Electrostimulation (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Aging (62 citations), Molecular Biology (1.2k citations), Biophysics (98 citations) and Physiology (77 citations). David Traynor has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Robert R. Kay, Colin W. Taylor, Keith A. Jermyn, Jeffrey G. Williams, Oliver Hoeller, Paul D. Langridge, Alan J. Warren, Chi Chun Wong, Peter A. Thomason and Anne Early. Their work appears in journals such as Development, Proceedings of the National Academy of Sciences, Journal of Cell Science, Biochemical Journal and Trends in Genetics.

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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