Andrew J. Todd

12.5k total citations · 1 hit paper
133 papers, 9.3k citations indexed

About

Andrew J. Todd is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Andrew J. Todd has authored 133 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Physiology, 99 papers in Cellular and Molecular Neuroscience and 30 papers in Molecular Biology. Recurrent topics in Andrew J. Todd's work include Pain Mechanisms and Treatments (102 papers), Neuropeptides and Animal Physiology (51 papers) and Neuroscience and Neuropharmacology Research (35 papers). Andrew J. Todd is often cited by papers focused on Pain Mechanisms and Treatments (102 papers), Neuropeptides and Animal Physiology (51 papers) and Neuroscience and Neuropharmacology Research (35 papers). Andrew J. Todd collaborates with scholars based in United Kingdom, Japan and United States. Andrew J. Todd's co-authors include R.C. Spike, Erika Polgár, Masahiko Watanabe, Safa Shehab, David I. Hughes, C. Watt, John S. Riddell, Robert W. Hartley, María Gutièrrez‐Mecinas and Zita Puskár and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

Andrew J. Todd

131 papers receiving 9.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neuronal circuitry for pain processing in the dorsal horn

2010 1.0k citations Andrew J. Todd Nature reviews. Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew J. Todd United Kingdom	55	6.6k	5.7k	2.8k	971	851	133	9.3k
Emiko Senba Japan	59	3.3k 0.5×	5.9k 1.0×	3.4k 1.2×	525 0.5×	843 1.0×	290	10.9k
Sally N. Lawson United Kingdom	39	4.3k 0.7×	3.8k 0.7×	2.8k 1.0×	556 0.6×	379 0.4×	66	6.8k
Erika Polgár United Kingdom	34	2.7k 0.4×	2.3k 0.4×	1.1k 0.4×	407 0.4×	286 0.3×	74	3.8k
Ronald M. Lindsay United States	48	1.8k 0.3×	10.0k 1.8×	4.0k 1.5×	550 0.6×	1.1k 1.2×	77	13.1k
Glenn J. Giesler United States	36	2.6k 0.4×	1.9k 0.3×	517 0.2×	443 0.5×	998 1.2×	67	4.5k
H. Richard Koerber United States	38	2.3k 0.4×	2.1k 0.4×	892 0.3×	195 0.2×	555 0.7×	84	4.5k
Rebecca P. Seal United States	38	1.4k 0.2×	3.4k 0.6×	2.5k 0.9×	246 0.3×	1.2k 1.4×	57	5.7k
Elspeth M. McLachlan Australia	49	2.9k 0.4×	4.0k 0.7×	2.6k 0.9×	481 0.5×	532 0.6×	144	7.6k
D. Menétrey France	32	2.8k 0.4×	2.6k 0.5×	728 0.3×	477 0.5×	830 1.0×	56	4.8k
Vassilis E. Koliatsos United States	49	1.9k 0.3×	4.7k 0.8×	3.3k 1.2×	668 0.7×	734 0.9×	120	9.2k

Countries citing papers authored by Andrew J. Todd

Since Specialization

Citations

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

Fields of papers citing papers by Andrew J. Todd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Todd. 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 Andrew J. Todd. The network helps show where Andrew J. Todd may publish in the future.

Co-authorship network of co-authors of Andrew J. Todd

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Todd. A scholar is included among the top collaborators of Andrew J. Todd 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 Andrew J. Todd. Andrew J. Todd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Polgár, Erika, Allen C. Dickie, María Gutièrrez‐Mecinas, et al.. (2025). Anatomical characterisation of somatostatin-expressing neurons belonging to the anterolateral system. Scientific Reports. 15(1). 9549–9549. 2 indexed citations

Bell, Andrew M., Allen C. Dickie, M. Kucharczyk, et al.. (2024). Deep sequencing of Phox2a nuclei reveals five classes of anterolateral system neurons. Proceedings of the National Academy of Sciences. 121(23). e2314213121–e2314213121. 9 indexed citations

Dickie, Allen C., Kieran A. Boyle, Mark A. Gradwell, et al.. (2023). Calretinin-expressing islet cells are a source of pre- and post-synaptic inhibition of non-peptidergic nociceptor input to the mouse spinal cord. Scientific Reports. 13(1). 11561–11561. 8 indexed citations

Bannatyne, B. Anne, G. S. Bhumbra, Joshua D. Foster, et al.. (2022). Spinal premotor interneurons controlling antagonistic muscles are spatially intermingled. eLife. 11. 16 indexed citations

Alba‐Delgado, Cristina, Myriam Antri, María Gutièrrez‐Mecinas, et al.. (2022). GABAA and Glycine Receptor-Mediated Inhibitory Synaptic Transmission onto Adult Rat Lamina IIi PKCγ-Interneurons: Pharmacological but Not Anatomical Specialization. Cells. 11(8). 1356–1356. 1 indexed citations

Peck, Liam J, Ryan Patel, Anthony H. Dickenson, et al.. (2021). Studying IndependentKcna6Knock-out Mice Reveals Toxicity of Exogenous LacZ to Central Nociceptor Terminals and Differential Effects of Kv1.6 on Acute and Neuropathic Pain Sensation. Journal of Neuroscience. 41(44). 9141–9162. 5 indexed citations

Peirs, Cédric, Radhouane Dallel, & Andrew J. Todd. (2020). Recent advances in our understanding of the organization of dorsal horn neuron populations and their contribution to cutaneous mechanical allodynia. Journal of Neural Transmission. 127(4). 505–525. 78 indexed citations

Hughes, David I. & Andrew J. Todd. (2020). Central Nervous System Targets: Inhibitory Interneurons in the Spinal Cord. Neurotherapeutics. 17(3). 874–885. 51 indexed citations

Boyle, Kieran A., María Gutièrrez‐Mecinas, Erika Polgár, et al.. (2017). A quantitative study of neurochemically defined populations of inhibitory interneurons in the superficial dorsal horn of the mouse spinal cord. Neuroscience. 363. 120–133. 62 indexed citations

10.

Gangadharan, Vijayan, Rui Wang, Ceng Luo, et al.. (2011). Peripheral calcium-permeable AMPA receptors regulate chronic inflammatory pain in mice. Journal of Clinical Investigation. 121(4). 1608–1623. 55 indexed citations

11.

Polgár, Erika, Thomas Sardella, Masahiko Watanabe, & Andrew J. Todd. (2010). Quantitative study of NPY‐expressing GABAergic neurons and axons in rat spinal dorsal horn. The Journal of Comparative Neurology. 519(6). 1007–1023. 57 indexed citations

12.

Todd, Andrew J.. (2010). Neuronal circuitry for pain processing in the dorsal horn. Nature reviews. Neuroscience. 11(12). 823–836. 1034 indexed citations breakdown →

13.

Todd, Andrew J., Erika Polgár, C. Watt, Mark E.S. Bailey, & Masahiko Watanabe. (2009). Neurokinin 1 receptor‐expressing projection neurons in laminae III and IV of the rat spinal cord have synaptic AMPA receptors that contain GluR2, GluR3 and GluR4 subunits. European Journal of Neuroscience. 29(4). 718–726. 19 indexed citations

14.

Miles, Gareth B., Robert W. Hartley, Andrew J. Todd, & Robert M. Brownstone. (2007). Spinal cholinergic interneurons regulate the excitability of motoneurons during locomotion. Proceedings of the National Academy of Sciences. 104(7). 2448–2453. 248 indexed citations

15.

Hughes, David I., et al.. (2007). Upregulation of Substance P in Low-Threshold Myelinated Afferents Is Not Required for Tactile Allodynia in the Chronic Constriction Injury and Spinal Nerve Ligation Models. Journal of Neuroscience. 27(8). 2035–2044. 35 indexed citations

16.

Polgár, Erika, et al.. (2007). A population of large neurons in laminae III and IV of the rat spinal cord that have long dorsal dendrites and lack the neurokinin 1 receptor. European Journal of Neuroscience. 26(6). 1587–1598. 15 indexed citations

17.

Hinckley, Christopher A., et al.. (2004). Locomotor-Like Rhythms in a Genetically Distinct Cluster of Interneurons in the Mammalian Spinal Cord. Journal of Neurophysiology. 93(3). 1439–1449. 120 indexed citations

18.

Todd, Andrew J., et al.. (2000). Neurokinin 1 receptor expression by neurons in laminae I, III and IV of the rat spinal dorsal horn that project to the brainstem. European Journal of Neuroscience. 12(2). 689–700. 216 indexed citations

19.

Sakamoto, Hiroshi, R.C. Spike, & Andrew J. Todd. (1999). Neurons in laminae III and IV of the rat spinal cord with the neurokinin-1 receptor receive few contacts from unmyelinated primary afferents which do not contain substance P. Neuroscience. 94(3). 903–908. 31 indexed citations

20.

Todd, Andrew J., David Maxwell, & A. G. Brown. (1991). Relationships between hair-follicle afferent axons and glycine-immunoreactive profiles in cat spinal dorsal horn. Brain Research. 564(1). 132–137. 26 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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