Philip Beesley

2.4k citations
98 papers · 1.9k · h-index 26

Impact in

Papers in

Philip Beesley

91 papers receiving 1.8k citations

Peers

Philip Beesley
Comparison fields: 5 of 141
  • Cellular and Molecular Neuroscience 835
  • Developmental Neuroscience 181
  • Neurology 152
  • Cell Biology 297
  • Aquatic Science 117
Replace Frank Hirth with:
Frank Hirth United Kingdom
Philippe Vernier France
William L.R. Cruce United States
Antón Barreiro‐Iglesias Spain
Toshihiko Hosoya Japan
Theo van Veen Sweden
Shannon Fisher United States
Ann H. Bunt United States
Yannick Bailly France
Ian G. Woods United States
Philip Beesley relative to Frank Hirth United Kingdom Frank Hirth's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philip Beesley

Since Specialization
Citations

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

Fields of papers citing papers by Philip Beesley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989190
2 2000107
3 201290
4 200787
5 199769
6 201466
7 200157
8 199553
9 200644
10 201442
11 201638
12 200338
13 198838
14 199537
15 201037
16 200932
17 200232
18 199831
19
Extreme Textiles: Designing for High Performance
200531
20 199931

About Philip Beesley

Philip Beesley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Global and Planetary Change, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (31 papers), Cellular transport and secretion (17 papers), Lipid Membrane Structure and Behavior (11 papers), Glycosylation and Glycoproteins Research (11 papers), Echinoderm biology and ecology (6 papers), Marine Biology and Environmental Chemistry (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Architecture and Computational Design (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (835 citations), Developmental Neuroscience (181 citations), Neurology (152 citations), Cell Biology (297 citations) and Aquatic Science (117 citations). Philip Beesley has collaborated with scholars based in United Kingdom, Canada and Germany. Frequent co-authors include Eckart D. Gundelfinger, Michael C. Thorndyke, Richard Hawkes, James W. Gurd, Rosemary S. Mummery, Toni Paladino, Karl‐Heinz Smalla, Ruth M. Empson, Kristina Langnaese and Tomas Bollner. Their work appears in journals such as Biochemical Society Transactions, Journal of Neurochemistry, Neuroscience, Brain Research and Cell and Tissue 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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