David Dawbarn

2.4k citations
30 papers · 2.0k · h-index 23

Impact in

Papers in

    • Nerve injury and regeneration 16
    • Neuropeptides and Animal Physiology 9
    • Axon Guidance and Neuronal Signaling 5
    • Alzheimer's disease research and treatments 7
    • Pain Mechanisms and Treatments 5

David Dawbarn

29 papers receiving 1.9k citations

Peers

David Dawbarn
Comparison fields: 5 of 100
  • Developmental Neuroscience 248
  • Cellular and Molecular Neuroscience 1.0k
  • Physiology 790
  • Neurology 148
  • Behavioral Neuroscience 61
Replace Natalie J. Gardiner with:
Natalie J. Gardiner United Kingdom
L. Marlier France
Thomas Kleppisch Germany
D. Dawbarn United Kingdom
Gregory J. Michael United Kingdom
John Grist United Kingdom
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Lars Olson Sweden
Julia Serrano Spain
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Citations per field
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Citations per year

Countries citing papers authored by David Dawbarn

Since Specialization
Citations

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

Fields of papers citing papers by David Dawbarn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006254
2 2002152
3 2008144
4 2011131
5 2010119
6 2009111
7 2000108
8 2009106
9 199986
10 200584
11 200181
12 200571
13 200868
14 201057
15 199749
16 200448
17 198548
18 198942
19 198233
20 200132

About David Dawbarn

David Dawbarn is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Developmental Neuroscience, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (16 papers), Neuropeptides and Animal Physiology (9 papers), Alzheimer's disease research and treatments (7 papers), Pain Mechanisms and Treatments (5 papers), Axon Guidance and Neuronal Signaling (5 papers), Signaling Pathways in Disease (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (248 citations), Cellular and Molecular Neuroscience (1.0k citations), Physiology (790 citations), Neurology (148 citations) and Behavioral Neuroscience (61 citations). David Dawbarn has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Shelley Allen, Gordon Wilcock, Judy J. Watson, Alan Robertson, Seth Love, Piers C. Emson, L. Khai Siew, Oliver Clewes, R.L. Brady and Mark J. Banfield. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Current Neuropharmacology and Brain 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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