D. Dawbarn

2.3k total citations
42 papers, 1.9k citations indexed

About

D. Dawbarn is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, D. Dawbarn has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 12 papers in Physiology. Recurrent topics in D. Dawbarn's work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). D. Dawbarn is often cited by papers focused on Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). D. Dawbarn collaborates with scholars based in United Kingdom, United States and Sweden. D. Dawbarn's 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 and has published in prestigious journals such as The Lancet, Brain Research and Pain.

In The Last Decade

D. Dawbarn

42 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Dawbarn United Kingdom 24 1.3k 695 490 286 243 42 1.9k
John W. Commissiong United States 24 1.3k 1.0× 601 0.9× 430 0.9× 318 1.1× 351 1.4× 49 2.1k
Lars Olson Sweden 14 1.2k 0.9× 573 0.8× 372 0.8× 545 1.9× 195 0.8× 16 1.9k
Adrian Pini United Kingdom 14 1.6k 1.2× 810 1.2× 1.1k 2.1× 367 1.3× 145 0.6× 21 2.6k
David Dawbarn United Kingdom 23 1.0k 0.8× 647 0.9× 790 1.6× 248 0.9× 110 0.5× 30 2.0k
Françoise Mennicken Canada 20 1.3k 1.0× 937 1.3× 890 1.8× 128 0.4× 166 0.7× 27 2.1k
Gregory J. Michael United Kingdom 23 1.0k 0.8× 815 1.2× 939 1.9× 208 0.7× 207 0.9× 35 2.3k
Elliott J. Mufson United States 14 1.2k 0.9× 587 0.8× 672 1.4× 399 1.4× 381 1.6× 15 2.0k
M. Del Fiacco Italy 25 1.2k 0.9× 620 0.9× 565 1.2× 200 0.7× 174 0.7× 68 1.9k
Mark Webber Ireland 17 1.3k 0.9× 788 1.1× 766 1.6× 390 1.4× 146 0.6× 21 2.5k
Laurie A. Karchewski United States 15 1.4k 1.0× 766 1.1× 1.3k 2.6× 258 0.9× 225 0.9× 17 2.1k

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-authorship network of co-authors of D. Dawbarn

This figure shows the co-authorship network connecting the top 25 collaborators of D. Dawbarn. A scholar is included among the top collaborators of D. Dawbarn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Dawbarn. D. Dawbarn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Frias, B., Shelley Allen, D. Dawbarn, et al.. (2013). Brain-derived neurotrophic factor, acting at the spinal cord level, participates in bladder hyperactivity and referred pain during chronic bladder inflammation. Neuroscience. 234. 88–102. 23 indexed citations
2.
Nassenstein, Christina, D. Dawbarn, Kenneth H. Pollock, et al.. (2006). Pulmonary distribution, regulation, and functional role of Trk receptors in a murine model of asthma. Journal of Allergy and Clinical Immunology. 118(3). 597–605. 38 indexed citations
3.
Sessions, Richard B., et al.. (2006). Development of small-molecule transforming growth factor beta antagonists. Breast Cancer Research. 8(S2). 1 indexed citations
4.
Dawbarn, D. & Shelley Allen. (2003). Neurotrophins and neurodegeneration. Neuropathology and Applied Neurobiology. 29(3). 211–230. 179 indexed citations
5.
Pennypacker, Keith R., Rebecca Fuldner, Héctor H. Hernández, et al.. (1998). Cloning and characterization of the presenilin-2 gene promoter. Molecular Brain Research. 56(1-2). 57–65. 19 indexed citations
6.
Allen, Shelley, et al.. (1997). Reduced cholinergic function in normal and Alzheimer's disease brain is associated with apolipoprotein E4 genotype. Neuroscience Letters. 239(1). 33–36. 71 indexed citations
7.
Dawbarn, D. & Shelley Allen. (1995). Neurobiology of alzheimer's disease. Bristol Research (University of Bristol). 2 indexed citations
8.
Allen, Shelley, D. Dawbarn, S. D. Eckford, et al.. (1994). Cloning of a non-catalytic form of human trkBand distribution of messenger RNA for trkB in human brain. Neuroscience. 60(3). 825–834. 36 indexed citations
9.
Allen, Shelley, et al.. (1991). Normal β-NGF content in Alzheimer's disease cerebral cortex and hippocampus. Neuroscience Letters. 131(1). 135–139. 73 indexed citations
10.
Dawbarn, D., et al.. (1991). Low affinity nerve growth factor receptor binding in normal and Alzheimer's disease basal forebrain. Neuroscience Letters. 121(1-2). 73–76. 25 indexed citations
11.
Goedert, Michel, Alan Fine, D. Dawbarn, Gordon Wilcock, & Moses V. Chao. (1989). Nerve growth factor receptor mRNA distribution in human brain: normal levels in basal forebrain in Alzheimer's disease. Molecular Brain Research. 5(1). 1–7. 98 indexed citations
12.
Allen, Shelley, D. Dawbarn, & GK Wilcock. (1988). Morphometric immunochemical analysis of neurons in the nucleus basalis of Meynert in Alzheimer's disease. Brain Research. 454(1-2). 275–281. 68 indexed citations
13.
Dawbarn, D., Shelley Allen, & F. M. Semenenko. (1988). Coexistence of choline acetyltransferase and nerve growth factor receptors in the rat basal forebrain. Neuroscience Letters. 94(1-2). 138–144. 89 indexed citations
14.
Dawbarn, D., Shelley Allen, & F. M. Semenenko. (1988). Immunohistochemical localization of β-nerve growth factor receptors in the forebrain of the rat. Brain Research. 440(1). 185–189. 48 indexed citations
15.
16.
Lu, Shao‐Ming, Lisa Schweizer, Nell B. Cant, & D. Dawbarn. (1987). Immunoreactivity to calcitonin gene-related peptide in the superior olivary complex and cochlea of cat and rat. Hearing Research. 31(2). 137–146. 41 indexed citations
17.
Dawbarn, D., N. Zamir, Catherine Waters, et al.. (1986). Peptides derived from prodynorphin are decreased in basal ganglia of Huntington's disease brains. Brain Research. 372(1). 155–158. 18 indexed citations
18.
Emson, P.C., D. Dawbarn, Martin N. Rossor, et al.. (1985). CHOLECYSTOKININ CONTENT IN THE BASAL GANGLIA IN HUNTINGTONS-DISEASE - THE EXPRESSION OF CHOLECYSTOKININ IMMUNOREACTIVITY IN STRIATAL GRAFTS TO IBOTENIC ACID-LESIONED RAT STRIATUM. UCL Discovery (University College London). 1 indexed citations
19.
Dawbarn, D., Stephen P. Hunt, & P.C. Emson. (1984). Neuropeptide Y: regional distribution chromatographic characterization and immunohistochemical demonstration in post-mortem human brain. Brain Research. 296(1). 168–173. 120 indexed citations
20.
Bhoola, K. D., et al.. (1982). Modulation of dopamine receptor activation by the neuro peptides vasoactive intestinal peptide and cholecystokinin. British Journal of Pharmacology. 77. 334. 1 indexed citations

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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