David A. Taylor

4.8k total citations
183 papers, 3.8k citations indexed

About

David A. Taylor is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, David A. Taylor has authored 183 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cellular and Molecular Neuroscience, 37 papers in Molecular Biology and 35 papers in Pharmacology. Recurrent topics in David A. Taylor's work include Neuroscience and Neuropharmacology Research (45 papers), Neurotransmitter Receptor Influence on Behavior (40 papers) and Cannabis and Cannabinoid Research (28 papers). David A. Taylor is often cited by papers focused on Neuroscience and Neuropharmacology Research (45 papers), Neurotransmitter Receptor Influence on Behavior (40 papers) and Cannabis and Cannabinoid Research (28 papers). David A. Taylor collaborates with scholars based in United States, Australia and United Kingdom. David A. Taylor's co-authors include Daniel T. Malone, Padmanabhan Sudevan, William W. Fleming, M. R. Fennessy, Anand Gururajan, Leonora E. Long, Trevor W. Stone, Michael J. Cousins, Philip J. Siddall and Susan B. Rutkowski and has published in prestigious journals such as Science, Psychological Bulletin and Annals of Neurology.

In The Last Decade

David A. Taylor

176 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Taylor United States 31 1.4k 918 869 754 440 183 3.8k
Merle G. Paule United States 46 2.0k 1.5× 739 0.8× 988 1.1× 964 1.3× 377 0.9× 239 8.0k
Jae Hoon Cheong South Korea 41 1.3k 1.0× 765 0.8× 1.1k 1.3× 1.7k 2.2× 540 1.2× 242 5.9k
Nadja Schröder Brazil 36 1.7k 1.2× 978 1.1× 1.0k 1.2× 1.0k 1.4× 539 1.2× 104 4.3k
Ivan N. Mefford United States 40 2.2k 1.6× 423 0.5× 818 0.9× 1.1k 1.5× 555 1.3× 100 5.5k
Matthias W. Riepe Germany 32 844 0.6× 466 0.5× 836 1.0× 868 1.2× 1.0k 2.3× 139 4.1k
David A. Hopkins Canada 45 2.3k 1.7× 1.1k 1.2× 1.5k 1.8× 1.4k 1.9× 1.2k 2.8× 117 8.4k
Alexandre de Mendonça Portugal 42 1.6k 1.2× 506 0.6× 834 1.0× 940 1.2× 811 1.8× 123 5.5k
Shlomo Yehuda Israel 36 946 0.7× 221 0.2× 692 0.8× 815 1.1× 1.3k 3.0× 126 4.8k
Ian Mitchell United Kingdom 44 2.5k 1.8× 202 0.2× 941 1.1× 653 0.9× 298 0.7× 134 5.6k
Dwight C. German United States 47 3.3k 2.4× 420 0.5× 1.5k 1.7× 1.7k 2.3× 1.5k 3.3× 94 6.9k

Countries citing papers authored by David A. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by David A. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Taylor. A scholar is included among the top collaborators of David A. Taylor 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 David A. Taylor. David A. Taylor 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.
Harman, Christine D., et al.. (2023). Efficacy of the positioning system when measuring canine intraocular pressures with the Reichert® Tono‐Vera® Vet rebound tonometer. Veterinary Ophthalmology. 27(1). 95–100. 2 indexed citations
2.
Taylor, David A.. (2008). Standards: New Yardstick for Medicinal Plant Harvests. Environmental Health Perspectives. 116(1). A21–A21. 4 indexed citations
4.
Taylor, David A.. (2007). Forest Fire Fallout. Environmental Health Perspectives. 115(1). 2 indexed citations
5.
Taylor, David A.. (2007). Mercury: Forest Fire Fallout. Environmental Health Perspectives. 115(1). A21–A21. 2 indexed citations
7.
Capuano, Ben, Ian T. Crosby, Edward J. Lloyd, & David A. Taylor. (2007). Synthesis and Preliminary Pharmacological Evaluation of 4'-Arylalkyl Analogues of Clozapine. III. Replacement of the Tricyclic Nucleus with a Bicyclic Template. Australian Journal of Chemistry. 60(12). 928–933. 4 indexed citations
8.
Malone, Daniel T. & David A. Taylor. (2005). The effect of Δ9-tetrahydrocannabinol on sensorimotor gating in socially isolated rats. Behavioural Brain Research. 166(1). 101–109. 65 indexed citations
9.
Taylor, David A.. (2004). Global resources: abuse, scarcity, and insecurity.. Environmental Health Perspectives. 112(3). A168–75. 1 indexed citations
10.
Malone, Daniel T., Leonora E. Long, & David A. Taylor. (2004). The effect of SR 141716 and apomorphine on sensorimotor gating in Swiss mice. Pharmacology Biochemistry and Behavior. 77(4). 839–845. 22 indexed citations
11.
Malone, Daniel T. & David A. Taylor. (2001). Involvement of somatodendritic 5-HT1A receptors in Δ9-tetrahydrocannabinol-induced hypothermia in the rat. Pharmacology Biochemistry and Behavior. 69(3-4). 595–601. 31 indexed citations
12.
Thayne, Kathleen, et al.. (2000). Quantification of the α3 subunit of the Na+/K+-ATPase in developing rat cerebellum. Developmental Brain Research. 123(2). 165–172. 17 indexed citations
13.
Malanga, C. J., et al.. (1997). Chronic Morphine Treatment of Guinea Pigs Induces Nonspecific Sensitivity Changes in the Nucleus Tractus Solitarius In Vitro. Journal of Pharmacology and Experimental Therapeutics. 280(1). 16–23. 14 indexed citations
14.
Sitaram, Balvant R., et al.. (1996). Determination of Δ9-tetrahydrocannabinol levels in brain tissue using high-performance liquid chromatography with electrochemical detection. Journal of Chromatography B Biomedical Sciences and Applications. 679(1-2). 79–84. 12 indexed citations
15.
Gould, Errol, et al.. (1995). The role of GABAA receptors in the subsensitivity of Purkinje neurons to GABA in genetic epilepsy prone rats. Brain Research. 698(1-2). 62–68. 17 indexed citations
16.
Harmon, Paul & David A. Taylor. (1993). Objects in action: commercial applications of object-oriented technologies. Addison-Wesley Longman Publishing Co., Inc. eBooks. 7 indexed citations
17.
Kong, Jian‐Qiang, et al.. (1991). Catecholamine and Neuropeptide Y Levels in Tissues from Young Dahl Rats following 5 Days Low- or High-Salt Diet. Journal of Vascular Research. 28(6). 442–451. 2 indexed citations
18.
Taylor, David A., et al.. (1991). Effects of GABA in the morphine-tolerant longitudinal muscle, myenteric plexus preparation of the guinea pig.. Journal of Pharmacology and Experimental Therapeutics. 259(3). 1094–1101. 8 indexed citations
19.
Taylor, David A.. (1980). Ray MacKean and Robert Percival, The Little Boats: Inshore Fishing Craft of Atlantic Canada. Material Culture Review / Revue de la culture matérielle. 10. 1 indexed citations
20.
Taylor, David A. & Arnold Binder. (1973). Degree of training and the novelty transfer effect. Memory & Cognition. 1(1). 61–63. 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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