D. Dawbarn

2.3k citations
42 papers · 1.9k · h-index 24

Impact in

Papers in

D. Dawbarn

42 papers receiving 1.9k citations

Peers

D. Dawbarn
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 279
  • Neurology 170
  • Physiology 457
  • Sensory Systems 81
Replace G. Vantini with:
G. Vantini Italy
M. Del Fiacco Italy
David Dawbarn United Kingdom
Françoise Mennicken Canada
Lars Olson Sweden
Mark Webber Ireland
Masamichi Satoh Japan
Giampiero Leanza Italy
Adrian Pini United Kingdom
Peter R. Patrylo United States
D. Dawbarn relative to G. Vantini Italy G. Vantini's profile →
Citations per field
00.5×4.3×
G. Vantini · 1×
Citations per year

Countries citing papers authored by D. Dawbarn

Since Specialization
Citations

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

Fields of papers citing papers by D. Dawbarn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985213
2 2003179
3 1987144
4 1987127
5 1984120
6 198998
7 198793
8 198889
9 200775
10 199173
11 199772
12 198868
13 198659
14
Third IBRO World Congress of Neuroscience
199150
15 198848
16 198742
17 200638
18 198037
19 199436
20 198136

About D. Dawbarn

D. Dawbarn is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Organic Chemistry, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Alzheimer's disease research and treatments (8 papers), Nerve injury and regeneration (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (279 citations), Neurology (170 citations), Physiology (457 citations) and Sensory Systems (81 citations). D. Dawbarn has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Shelley Allen, P.C. Emson, M.E. de Quidt, C Pycock, GK Wilcock, F. M. Semenenko, Stephen P. Hunt, Ole Isacson, S.H. MacGowan and Gordon Wilcock. Their work appears in journals such as Brain Research, Neuroscience, British Journal of Pharmacology, Annals of the New York Academy of Sciences and Pain.

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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