David Dawbarn

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

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
Mark Webber Ireland
Lars Olson Sweden
Julia Serrano Spain
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Citations per field
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Natalie J. Gardiner · 1×
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-authorship network

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
#Work
1 2011131
2 20110
3 2010119
4
Intrathecal blockade of Trk receptor and neurotrophins sequestration reduces pain and urinary frequency in an animal model of chronic bladder inflammation
20094
5 2009106
6 2009111
7 200868
8 2008144
9 20077
10 200624
11 200584
12 200448
13 200118
14 20011
15 200181
16 200132
17 200029
18 199986
19 199749
20 198548

About David Dawbarn

David Dawbarn is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Physiology, Urology and Pharmacology, 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), Neuroscience and Neuropharmacology Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (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, Piers C. Emson, Seth Love, 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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