Anna M.W. Taylor

2.6k total citations
40 papers, 1.8k citations indexed

About

Anna M.W. Taylor is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Anna M.W. Taylor has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 23 papers in Cellular and Molecular Neuroscience and 14 papers in Molecular Biology. Recurrent topics in Anna M.W. Taylor's work include Pain Mechanisms and Treatments (25 papers), Neuropeptides and Animal Physiology (15 papers) and Receptor Mechanisms and Signaling (8 papers). Anna M.W. Taylor is often cited by papers focused on Pain Mechanisms and Treatments (25 papers), Neuropeptides and Animal Physiology (15 papers) and Receptor Mechanisms and Signaling (8 papers). Anna M.W. Taylor collaborates with scholars based in Canada, United States and Germany. Anna M.W. Taylor's co-authors include Catherine M. Cahill, Christopher J. Evans, Alfredo Ribeiro‐da‐Silva, Petra Schweinhardt, Susanne Becker, Baljit S. Khakh, Peyman Golshani, Jun Nagai, Giovanni Coppola and Xinzhu Yu and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Anna M.W. Taylor

37 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna M.W. Taylor Canada 22 810 804 482 313 218 40 1.8k
Pieter J. Dederen Netherlands 25 664 0.8× 652 0.8× 429 0.9× 313 1.0× 168 0.8× 46 2.1k
Sarah M. Rothman United States 22 671 0.8× 322 0.4× 276 0.6× 228 0.7× 227 1.0× 35 1.7k
Cyril Rivat France 26 1.6k 1.9× 910 1.1× 448 0.9× 176 0.6× 267 1.2× 41 3.3k
Tae-Woon Kim South Korea 26 401 0.5× 318 0.4× 323 0.7× 226 0.7× 209 1.0× 79 1.7k
Anders B. Klein Denmark 24 361 0.4× 775 1.0× 486 1.0× 108 0.3× 295 1.4× 58 1.9k
Shiping Zou United States 29 1.8k 2.2× 1.4k 1.7× 739 1.5× 483 1.5× 191 0.9× 51 3.1k
Kim M. Lee United States 16 853 1.1× 394 0.5× 315 0.7× 480 1.5× 159 0.7× 20 2.1k
Julie Wieseler‐Frank United States 16 1.3k 1.6× 782 1.0× 372 0.8× 384 1.2× 74 0.3× 19 2.0k
Wenfei Han China 16 508 0.6× 286 0.4× 520 1.1× 193 0.6× 310 1.4× 29 2.0k
Joana E. Coelho Portugal 25 327 0.4× 739 0.9× 566 1.2× 551 1.8× 109 0.5× 55 2.0k

Countries citing papers authored by Anna M.W. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Anna M.W. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M.W. 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 Anna M.W. Taylor. The network helps show where Anna M.W. Taylor may publish in the future.

Co-authorship network of co-authors of Anna M.W. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M.W. Taylor. A scholar is included among the top collaborators of Anna M.W. 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 Anna M.W. Taylor. Anna M.W. 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.
Jackson, Jesse, et al.. (2024). Claustrum projections to the anterior cingulate modulate nociceptive and pain-associated behavior. Current Biology. 34(9). 1987–1995.e4. 7 indexed citations
2.
Tagliaferri, Scott D., Patrick J. Owen, Clint T. Miller, et al.. (2023). Towards data-driven biopsychosocial classification of non-specific chronic low back pain: a pilot study. Scientific Reports. 13(1). 13112–13112. 3 indexed citations
3.
Dursun, Serdar, et al.. (2023). Preclinical evidence for the use of the atypical antipsychotic, brexpiprazole, for opioid use disorder. Neuropharmacology. 233. 109546–109546. 7 indexed citations
4.
Baldwin, Troy A., et al.. (2023). Sex differences in peripheral immune cell activation: Implications for pain and pain resolution. Brain Behavior and Immunity. 114. 80–93. 12 indexed citations
5.
Taylor, Anna M.W., et al.. (2022). POSC143 Comparison of Model Structures Used in NICE and ICER Cost Effectiveness Evaluations. Value in Health. 25(1). S115–S115.
6.
Kerr, Bradley J., et al.. (2021). Multiple Sclerosis and the Endogenous Opioid System. Frontiers in Neuroscience. 15. 741503–741503. 11 indexed citations
7.
Kerr, Bradley J., et al.. (2020). Microbes, microglia, and pain. SHILAP Revista de lepidopterología. 7. 100045–100045. 38 indexed citations
8.
Huang, Alden, Anna M.W. Taylor, Atefeh Ghogha, et al.. (2020). Genetic and functional analysis of a Pacific hagfish opioid system. Journal of Neuroscience Research. 100(1). 19–34. 3 indexed citations
9.
Taylor, Anna M.W., et al.. (2020). Sex differences in kappa opioid receptor antinociception is influenced by the number of X chromosomes in mouse. Journal of Neuroscience Research. 100(1). 183–190. 8 indexed citations
10.
Lee, Kevin, Helen E. Vuong, David J. Nusbaum, et al.. (2018). The gut microbiota mediates reward and sensory responses associated with regimen-selective morphine dependence. Neuropsychopharmacology. 43(13). 2606–2614. 136 indexed citations
11.
Cahill, Catherine M., Wendy Walwyn, Anna M.W. Taylor, Amynah Pradhan, & Christopher J. Evans. (2016). Allostatic Mechanisms of Opioid Tolerance Beyond Desensitization and Downregulation. Trends in Pharmacological Sciences. 37(11). 963–976. 86 indexed citations
12.
Taylor, Anna M.W., Susanne Becker, Petra Schweinhardt, & Catherine M. Cahill. (2016). Mesolimbic dopamine signaling in acute and chronic pain. Pain. 157(6). 1194–1198. 175 indexed citations
13.
Taylor, Anna M.W., Annie Castonguay, Atefeh Ghogha, et al.. (2015). Neuroimmune Regulation of GABAergic Neurons Within the Ventral Tegmental Area During Withdrawal from Chronic Morphine. Neuropsychopharmacology. 41(4). 949–959. 89 indexed citations
14.
Taylor, Anna M.W., Annie Castonguay, Niall Murphy, et al.. (2015). Microglia Disrupt Mesolimbic Reward Circuitry in Chronic Pain. Journal of Neuroscience. 35(22). 8442–8450. 154 indexed citations
15.
Taylor, Anna M.W., Niall Murphy, Christopher J. Evans, & Catherine M. Cahill. (2014). Correlation Between Ventral Striatal Catecholamine Content and Nociceptive Thresholds in Neuropathic Mice. Journal of Pain. 15(8). 878–885. 31 indexed citations
16.
17.
Taylor, Anna M.W. & Alfredo Ribeiro‐da‐Silva. (2011). GDNF levels in the lower lip skin in a rat model of trigeminal neuropathic pain: Implications for nonpeptidergic fiber reinnervation and parasympathetic sprouting. Pain. 152(7). 1502–1510. 36 indexed citations
18.
Taylor, Anna M.W., et al.. (2009). Distribution of P2X3‐immunoreactive fibers in hairy and glabrous skin of the rat. The Journal of Comparative Neurology. 514(6). 555–566. 36 indexed citations
19.
Riedl, Maureen, Stephen A. Schnell, Aaron C. Overland, et al.. (2009). Coexpression of α2A‐adrenergic and δ‐opioid receptors in substance P‐containing terminals in rat dorsal horn. The Journal of Comparative Neurology. 513(4). 385–398. 71 indexed citations
20.
Wilkins, Jeffery N., et al.. (1992). Hypothalamic-Pituitary Function during Alcohol Exposure and Withdrawal and Cocaine Exposure. Recent developments in alcoholism. 10. 57–71. 18 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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