D.A. Haydon

9.6k citations
126 papers · 7.6k indexed · 3 hit papers · h-index 44

D.A. Haydon

123 papers receiving 7.0k citations

Hit Papers

The hydrophobic effect: Formation of micelles and biologi...6071972202619902008200400600

Peers

D.A. Haydon
Comparison fields: 5 of 140
  • Electrochemistry 823
  • Bioengineering 592
  • Physical and Theoretical Chemistry 813
  • Cellular and Molecular Neuroscience 1.6k
  • Molecular Biology 5.0k
Replace Stuart McLaughlin with:
Stuart McLaughlin United States
Jane M. Vanderkooi United States
P. Läuger Germany
Edward M. Kosower Israel
H. Ti Tien United States
George Eisenman United States
Derek Marsh Germany
Joachim Seelig Switzerland
Hans‐Joachim Galla Germany
Peter Mitchell United Kingdom
D.A. Haydon relative to Stuart McLaughlin United States Stuart McLaughlin's profile →
Citations per field
00.5×1.5×
Stuart McLaughlin · 1×
Citations per year

Countries citing papers authored by D.A. Haydon

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Haydon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Haydon. 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 D.A. Haydon. The network helps show where D.A. Haydon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199111
2 19897
3 198717
4 198610
5 19855
6 197710
7 197534
8 197539
9 197521
10 196930
11 19664
12 196557
13 1964119
14 196333
15 19638
16 196029
17 196038
18 1960106
19 195820
20 195831

About D.A. Haydon

D.A. Haydon is a scholar working on Physical and Theoretical Chemistry, Electrochemistry and Bioengineering, having authored 126 papers that have together received 7.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (60 papers), Spectroscopy and Quantum Chemical Studies (30 papers), Electrostatics and Colloid Interactions (28 papers), Neuroscience and Neural Engineering (21 papers), Electrochemical Analysis and Applications (17 papers), Photoreceptor and optogenetics research (16 papers), Surfactants and Colloidal Systems (15 papers) and Force Microscopy Techniques and Applications (10 papers). The work is most often cited by research in Electrochemistry (823 citations), Bioengineering (592 citations) and Physical and Theoretical Chemistry (813 citations). D.A. Haydon has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Stephen B. Hladky, David Gruen, Janet L. Taylor, B. W. Urban, Robert Fettiplace, Toshihiko Hanai, Jaime Requena, James R. Elliott, Bruce M. Hendry and L. G. M. Gordon. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Physiology, Nature, Journal of Theoretical Biology and Colloid & Polymer Science.

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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