Neil C. Ford

613 total citations
20 papers, 382 citations indexed

About

Neil C. Ford is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Neil C. Ford has authored 20 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Pharmacology. Recurrent topics in Neil C. Ford's work include Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). Neil C. Ford is often cited by papers focused on Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). Neil C. Ford collaborates with scholars based in United States, China and Israel. Neil C. Ford's co-authors include Yun Guan, Qian Huang, Zhiyong Chen, Mark L. Baccei, Xinzhong Dong, Fei Yang, Shaoqiu He, Dejian Ren, Wanru Duan and Xu Cao and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Pain.

In The Last Decade

Neil C. Ford

19 papers receiving 380 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 C. Ford United States 13 198 104 80 66 63 20 382
Geraldine Longo Canada 10 276 1.4× 192 1.8× 103 1.3× 67 1.0× 43 0.7× 10 502
Kelly A. Eddinger United States 11 290 1.5× 148 1.4× 153 1.9× 71 1.1× 45 0.7× 16 530
Christopher Lundborg Sweden 10 96 0.5× 77 0.7× 79 1.0× 46 0.7× 67 1.1× 18 334
Olga A. Korczeniewska United States 12 229 1.2× 71 0.7× 36 0.5× 68 1.0× 25 0.4× 31 363
Florian T. Nickel Germany 8 202 1.0× 51 0.5× 32 0.4× 86 1.3× 52 0.8× 17 338
Timothy K. Y. Kaan United Kingdom 9 287 1.4× 197 1.9× 106 1.3× 41 0.6× 31 0.5× 10 607
Lucy Gee United States 13 227 1.1× 121 1.2× 33 0.4× 87 1.3× 102 1.6× 30 560
Julia Forstenpointner Germany 15 282 1.4× 104 1.0× 37 0.5× 144 2.2× 35 0.6× 34 558
Eleonora Galosi Italy 12 275 1.4× 64 0.6× 43 0.5× 85 1.3× 36 0.6× 37 432

Countries citing papers authored by Neil C. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Neil C. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil C. Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Neil C. Ford. A scholar is included among the top collaborators of Neil C. Ford 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 C. Ford. Neil C. Ford 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.
Franco‐Villanueva, Ana, Neil C. Ford, Rachel Morano, et al.. (2025). Time-Dependent Actions of Corticosterone on Infralimbic Cortex Pyramidal Neurons of Adult Male Rats. Journal of Neuroscience. 45(19). e0867242025–e0867242025.
2.
Uniyal, Ankit, Neil C. Ford, Shao-Qiu He, et al.. (2024). Peripherally restricted cannabinoid and mu-opioid receptor agonists synergistically attenuate neuropathic mechanical hypersensitivity in mice. Pain. 165(11). 2563–2577. 3 indexed citations
3.
Wu, Qichao, Xiang Cui, Jing Liu, et al.. (2023). Chronic pain after spine surgery: Insights into pathogenesis, new treatment, and preventive therapy. Journal of Orthopaedic Translation. 42. 147–159. 10 indexed citations
4.
Ma, Danxu, Qian Huang, Xinyan Gao, et al.. (2023). The Utility of Peripherally Restricted Kappa-Opioid Receptor Agonists for Inhibiting Below-Level Pain After Spinal Cord Injury in Mice. Neuroscience. 527. 92–102. 2 indexed citations
5.
Zhen, Gehua, Chi Zhang, Neil C. Ford, et al.. (2022). Mechanisms of bone pain: Progress in research from bench to bedside. Bone Research. 10(1). 44–44. 30 indexed citations
6.
Chen, Zhiyong, Chi Zhang, Xiang Cui, et al.. (2022). BzATP Activates Satellite Glial Cells and Increases the Excitability of Dorsal Root Ganglia Neurons In Vivo. Cells. 11(15). 2280–2280. 18 indexed citations
7.
Chen, Zhiyong, Qian Huang, Neil C. Ford, et al.. (2021). Purinergic signaling between neurons and satellite glial cells of mouse dorsal root ganglia modulates neuronal excitability in vivo. Pain. 163(8). 1636–1647. 23 indexed citations
8.
Xue, Peng, Shenyu Wang, Mei Wan, et al.. (2021). PGE2/EP4 skeleton interoception activity reduces vertebral endplate porosity and spinal pain with low-dose celecoxib. Bone Research. 9(1). 36–36. 40 indexed citations
9.
Xu, Qian, Neil C. Ford, Shaoqiu He, et al.. (2021). Astrocytes contribute to pain gating in the spinal cord. Science Advances. 7(45). eabi6287–eabi6287. 56 indexed citations
10.
Ford, Neil C., Shao-Qiu He, Qian Huang, et al.. (2021). Role of primary sensory neurone cannabinoid type-1 receptors in pain and the analgesic effects of the peripherally acting agonist CB-13 in mice. British Journal of Anaesthesia. 128(1). 159–173. 5 indexed citations
11.
12.
Ford, Neil C., Qian Huang, Claire Gavériaux‐Ruff, et al.. (2020). Role of peripheral sensory neuron mu-opioid receptors in nociceptive, inflammatory, and neuropathic pain. Regional Anesthesia & Pain Medicine. 45(11). 907–916. 16 indexed citations
13.
Huang, Qian, Neil C. Ford, Xinyan Gao, et al.. (2020). Ubiquitin-mediated receptor degradation contributes to development of tolerance to MrgC agonist–induced pain inhibition in neuropathic rats. Pain. 162(4). 1082–1094. 2 indexed citations
14.
Yang, Fei, Wanru Duan, Qian Huang, et al.. (2019). Modulation of Spinal Nociceptive Transmission by Sub-Sensory Threshold Spinal Cord Stimulation in Rats After Nerve Injury. Neuromodulation Technology at the Neural Interface. 23(1). 36–45. 10 indexed citations
15.
Liu, Shuguang, Qian Huang, Shaoqiu He, et al.. (2019). Dermorphin [D-Arg2, Lys4] (1-4) amide inhibits below-level heat hypersensitivity in mice after contusive thoracic spinal cord injury. Pain. 160(12). 2710–2723. 14 indexed citations
16.
Sivanesan, Eellan, Kimberly Stephens, Qian Huang, et al.. (2019). Spinal cord stimulation prevents paclitaxel-induced mechanical and cold hypersensitivity and modulates spinal gene expression in rats. PAIN Reports. 4(5). e785–e785. 22 indexed citations
17.
Huang, Qian, Wanru Duan, Eellan Sivanesan, et al.. (2018). Spinal Cord Stimulation for Pain Treatment After Spinal Cord Injury. Neuroscience Bulletin. 35(3). 527–539. 47 indexed citations
18.
Ford, Neil C., Dejian Ren, & Mark L. Baccei. (2018). NALCN channels enhance the intrinsic excitability of spinal projection neurons. Pain. 159(9). 1719–1730. 26 indexed citations
19.
Ford, Neil C. & Mark L. Baccei. (2016). Inward-rectifying K+ (Kir2) leak conductance dampens the excitability of lamina I projection neurons in the neonatal rat. Neuroscience. 339. 502–510. 19 indexed citations
20.
Li, Jie, et al.. (2014). Connectivity of pacemaker neurons in the neonatal rat superficial dorsal horn. The Journal of Comparative Neurology. 523(7). 1038–1053. 14 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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