Philip Beesley

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

Impact in

Papers in

Philip Beesley

92 papers receiving 1.9k citations

Peers

Philip Beesley
Comparison fields: 5 of 139
  • Developmental Neuroscience 171
  • Cellular and Molecular Neuroscience 789
  • Cell Biology 290
  • Neurology 137
  • Aquatic Science 115
Replace Yannick Bailly with:
Yannick Bailly France
Sônia A. L. Corrêa United Kingdom
Sho Kakizawa Japan
Bo Holmqvist Sweden
Paola Roncaglia Italy
Eiji Watanabe Japan
Hervé Tostivint France
Mark S. Cooper United States
Philippe Vernier France
José Aijón Spain
Philip Beesley relative to Yannick Bailly France Yannick Bailly'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 2000109
3 201290
4 200789
5 199769
6 201468
7 200157
8 199553
9 200644
10 201442
11 201639
12 200338
13 198838
14 201037
15 199537
16 200232
17 200932
18 199831
19 199931
20
Extreme Textiles: Designing for High Performance
200531

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 (28 papers), Cellular transport and secretion (16 papers), Glycosylation and Glycoproteins Research (11 papers), Lipid Membrane Structure and Behavior (11 papers), Marine Biology and Environmental Chemistry (6 papers), Echinoderm biology and ecology (6 papers), Architecture and Computational Design (6 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Developmental Neuroscience (171 citations), Cellular and Molecular Neuroscience (789 citations), Cell Biology (290 citations), Neurology (137 citations) and Aquatic Science (115 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, Karl‐Heinz Smalla, Toni Paladino, 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 Architectural Design.

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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