Neil Dawson

1.8k total citations
52 papers, 1.3k citations indexed

About

Neil Dawson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmaceutical Science. According to data from OpenAlex, Neil Dawson has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 15 papers in Pharmaceutical Science. Recurrent topics in Neil Dawson's work include Neuroscience and Neuropharmacology Research (15 papers), Drug Solubulity and Delivery Systems (14 papers) and Receptor Mechanisms and Signaling (9 papers). Neil Dawson is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Drug Solubulity and Delivery Systems (14 papers) and Receptor Mechanisms and Signaling (9 papers). Neil Dawson collaborates with scholars based in United Kingdom, United States and Portugal. Neil Dawson's co-authors include Brian Morris, Judith A. Pratt, Catherine Winchester, Lisa J. Taylor, Maria R. Dauvermann, Andrew B. Dennis, Stephen J. Byard, J. D. Sherwood, Gary Nichols and Shubhajit Paul and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Neil Dawson

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Dawson United Kingdom 22 371 358 264 240 211 52 1.3k
Daisuke Yamada Japan 29 696 1.9× 385 1.1× 236 0.9× 31 0.1× 96 0.5× 115 2.4k
Alan B. Watts United States 33 279 0.8× 222 0.6× 226 0.9× 378 1.6× 77 0.4× 54 2.5k
Hiroyuki Ohta Japan 27 355 1.0× 342 1.0× 245 0.9× 25 0.1× 258 1.2× 196 2.4k
Shuxin Hu China 15 424 1.1× 271 0.8× 61 0.2× 30 0.1× 226 1.1× 55 1.8k
Qifang Wang China 23 484 1.3× 142 0.4× 219 0.8× 139 0.6× 135 0.6× 77 2.1k
Libo Zhang China 19 114 0.3× 180 0.5× 300 1.1× 20 0.1× 77 0.4× 72 897
Xiaofeng Cheng China 17 348 0.9× 98 0.3× 141 0.5× 16 0.1× 116 0.5× 31 1.7k
R. Mark Wellard Australia 30 228 0.6× 326 0.9× 531 2.0× 9 0.0× 196 0.9× 73 2.7k
Takumi Fujita Japan 17 586 1.6× 574 1.6× 327 1.2× 19 0.1× 185 0.9× 48 2.3k
Lihua Song China 22 549 1.5× 1.1k 3.2× 689 2.6× 32 0.1× 113 0.5× 42 2.2k

Countries citing papers authored by Neil Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Neil Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Dawson. A scholar is included among the top collaborators of Neil Dawson 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 Neil Dawson. Neil Dawson 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.
Turner, Thomas D., Cai Y., Neil Dawson, et al.. (2024). Calculating the surface energies of crystals on a face-specific and whole particle basis: Case study of the α- and β-polymorphic forms of L-glutamic acid. Powder Technology. 448. 120276–120276. 3 indexed citations
2.
Li, Feng, et al.. (2024). An interaction-based mixing model for predicting porosity and tensile strength of directly compressed ternary blends of pharmaceutical powders. International Journal of Pharmaceutics. 664. 124587–124587. 2 indexed citations
3.
Doshi, Pankaj, Kai Lee, Martin Rowland, et al.. (2024). Mechanistic modeling of twin screw wet granulation for pharmaceutical formulations: Calibration, sensitivity analysis, and model-driven workflow. International Journal of Pharmaceutics. 659. 124246–124246. 1 indexed citations
4.
Parkin, Edward T., et al.. (2024). Liposome nanoparticle conjugation and cell penetrating peptide sequences (CPPs) enhance the cellular delivery of the tau aggregation inhibitor RIAG03. Journal of Cellular and Molecular Medicine. 28(11). e18477–e18477. 6 indexed citations
6.
Thomson, David M., et al.. (2023). 16p11.2 deletion mice exhibit compromised fronto-temporal connectivity, GABAergic dysfunction, and enhanced attentional ability. Communications Biology. 6(1). 557–557. 4 indexed citations
8.
Bristow, Greg C., et al.. (2020). 16p11 Duplication Disrupts Hippocampal-Orbitofrontal-Amygdala Connectivity, Revealing a Neural Circuit Endophenotype for Schizophrenia. Cell Reports. 31(3). 107536–107536. 22 indexed citations
9.
Clarke, James, John F. Gamble, John W. Jones, et al.. (2020). Determining the Impact of Roller Compaction Processing Conditions on Granule and API Properties. AAPS PharmSciTech. 21(6). 218–218. 6 indexed citations
10.
Dawson, Neil & Pablo Salmón. (2020). Age-related increase in mitochondrial quantity may mitigate a decline in mitochondrial quality in red blood cells from zebra finches (Taeniopygia guttata). Experimental Gerontology. 133. 110883–110883. 18 indexed citations
11.
Dauvermann, Maria R., et al.. (2017). Glutamatergic regulation of cognition and functional brain connectivity: insights from pharmacological, genetic and translational schizophrenia research. British Journal of Pharmacology. 174(19). 3136–3160. 65 indexed citations
12.
Pratt, Judith A., et al.. (2016). Thalamo-cortical communication, glutamatergic neurotransmission and neural oscillations: A unique window into the origins of ScZ?. Schizophrenia Research. 180. 4–12. 29 indexed citations
13.
Dawson, Neil, Catherine Winchester, Zoë A. Hughes, et al.. (2014). Poster #M9 DISC1 MUTATION INDUCED ALTERATIONS IN CEREBRAL METABOLISM AND IN THE RESPONSE TO ACUTE SUBANAESTHETIC KETAMINE: A COMPARISON OF THREE DIFFERENT DISC1 MUTATIONS. Schizophrenia Research. 153. S192–S192. 2 indexed citations
14.
Kirshenbaum, Greer S., Neil Dawson, Jonathan G.L. Mullins, et al.. (2013). Alternating Hemiplegia of Childhood-Related Neural and Behavioural Phenotypes in Na+,K+-ATPase α3 Missense Mutant Mice. PLoS ONE. 8(3). e60141–e60141. 38 indexed citations
16.
Xiao, Xiaolin, Neil Dawson, Lynsey MacIntyre, et al.. (2011). Exploring metabolic pathway disruption in the subchronic phencyclidine model of schizophrenia with the Generalized Singular Value Decomposition. BMC Systems Biology. 5(1). 72–72. 21 indexed citations
17.
Donkelaar, Eva L. van, Paul A. Kelly, Neil Dawson, et al.. (2009). Acute tryptophan depletion potentiates 3,4‐methylenedioxymethamphetamine‐induced cerebrovascular hyperperfusion in adult male wistar rats. Journal of Neuroscience Research. 88(7). 1557–1568. 9 indexed citations
18.
Dawson, Neil, Linda Ferrington, Henry J. Olverman, & Paul A. Kelly. (2008). Novel analysis for improved validity in semi-quantitative 2-deoxyglucose autoradiographic imaging. Journal of Neuroscience Methods. 175(1). 25–35. 11 indexed citations
19.
Nichols, Gary, et al.. (2002). A Review of the Terms Agglomerate and Aggregate with a Recommendation for Nomenclature Used in Powder and Particle Characterization. Journal of Pharmaceutical Sciences. 91(10). 2103–2109. 186 indexed citations
20.
Dawson, Neil, et al.. (1986). The Schizophrenic at Home. Journal of Psychosocial Nursing and Mental Health Services. 24(1). 28–30. 7 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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