Gregory Corder

3.3k total citations · 1 hit paper
24 papers, 2.2k citations indexed

About

Gregory Corder is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Gregory Corder has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 17 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Gregory Corder's work include Pain Mechanisms and Treatments (18 papers), Neuropeptides and Animal Physiology (12 papers) and Receptor Mechanisms and Signaling (4 papers). Gregory Corder is often cited by papers focused on Pain Mechanisms and Treatments (18 papers), Neuropeptides and Animal Physiology (12 papers) and Receptor Mechanisms and Signaling (4 papers). Gregory Corder collaborates with scholars based in United States, Germany and Sweden. Gregory Corder's co-authors include Grégory Scherrer, Bradley K. Taylor, Daniel C. Castro, Michael R. Bruchas, Renée R. Donahue, Benjamin F. Grewe, Mark J. Schnitzer, Biafra Ahanonu, Sarah Low and Vivianne L. Tawfik and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gregory Corder

23 papers receiving 2.2k citations

Hit Papers

Structure-based discovery of opioid analgesics with reduc... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory Corder United States 16 1.2k 1.1k 1.0k 256 201 24 2.2k
Thomas J. Martin United States 30 1.4k 1.2× 981 0.9× 1.4k 1.4× 242 0.9× 291 1.4× 95 3.0k
Sanzio Candeletti Italy 25 1.2k 1.0× 727 0.7× 916 0.9× 159 0.6× 385 1.9× 117 2.2k
Wendy Walwyn United States 26 1.3k 1.1× 789 0.7× 985 1.0× 147 0.6× 121 0.6× 42 1.9k
Steve McGaraughty United States 33 911 0.7× 1.4k 1.3× 800 0.8× 245 1.0× 264 1.3× 75 2.8k
Jing‐Gen Liu China 26 1.2k 1.0× 433 0.4× 871 0.9× 240 0.9× 112 0.6× 87 1.9k
Santina Chiechio Italy 29 747 0.6× 848 0.8× 820 0.8× 136 0.5× 217 1.1× 56 2.2k
Jane E. Haley United Kingdom 24 1.6k 1.3× 1.5k 1.4× 1.2k 1.2× 253 1.0× 212 1.1× 38 3.1k
Durga P. Mohapatra United States 32 1.8k 1.5× 1.2k 1.2× 2.2k 2.2× 228 0.9× 216 1.1× 50 4.0k
Juan Carlos G. Marvizón United States 28 1.6k 1.3× 1.4k 1.3× 1.0k 1.0× 159 0.6× 198 1.0× 62 2.5k

Countries citing papers authored by Gregory Corder

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Corder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Corder

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Corder. A scholar is included among the top collaborators of Gregory Corder 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 Gregory Corder. Gregory Corder 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.
Kimmey, Blake A., Nora M. McCall, Richard C. Crist, et al.. (2025). A nociceptive amygdala-striatal pathway modulating affective-motivational pain. Science Advances. 11(30). eado2837–eado2837.
2.
Heller, Elizabeth A., et al.. (2025). Psilocybin-enhanced fear extinction linked to bidirectional modulation of cortical ensembles. Nature Neuroscience. 28(6). 1311–1326. 3 indexed citations
3.
Huang, Zhimin, et al.. (2024). Engineered serum markers for non-invasive monitoring of gene expression in the brain. Nature Biotechnology. 42(11). 1717–1725. 4 indexed citations
4.
Vogel, Jacob W., Valerie J. Sydnor, Adam Pines, et al.. (2023). Functional imaging studies of acute administration of classic psychedelics, ketamine, and MDMA: Methodological limitations and convergent results. Neuroscience & Biobehavioral Reviews. 154. 105421–105421. 5 indexed citations
5.
Eacret, Darrell, et al.. (2022). A novel Oprm1-Cre mouse maintains endogenous expression, function and enables detailed molecular characterization of μ-opioid receptor cells. PLoS ONE. 17(12). e0270317–e0270317. 7 indexed citations
6.
Larsen, Bart, Azeez Adebimpe, J. Cobb Scott, et al.. (2022). Structural imaging studies of patients with chronic pain: an anatomical likelihood estimate meta-analysis. Pain. 164(1). e10–e24. 21 indexed citations
7.
8.
Jones, Jessica, William Foster, Colin R. Twomey, et al.. (2020). A machine-vision approach for automated pain measurement at millisecond timescales. eLife. 9. 39 indexed citations
9.
Kimmey, Blake A., et al.. (2020). Engaging endogenous opioid circuits in pain affective processes. Journal of Neuroscience Research. 100(1). 66–98. 14 indexed citations
10.
Corder, Gregory, et al.. (2019). An amygdalar neural ensemble that encodes the unpleasantness of pain. Science. 363(6424). 276–281. 252 indexed citations
11.
Nelson, Tyler S., Weisi Fu, Renée R. Donahue, et al.. (2019). Facilitation of neuropathic pain by the NPY Y1 receptor-expressing subpopulation of excitatory interneurons in the dorsal horn. Scientific Reports. 9(1). 7248–7248. 42 indexed citations
12.
Wang, Dong, Vivianne L. Tawfik, Gregory Corder, et al.. (2018). Functional Divergence of Delta and Mu Opioid Receptor Organization in CNS Pain Circuits. Neuron. 98(1). 90–108.e5. 108 indexed citations
13.
Corder, Gregory, Daniel C. Castro, Michael R. Bruchas, & Grégory Scherrer. (2018). Endogenous and Exogenous Opioids in Pain. Annual Review of Neuroscience. 41(1). 453–473. 291 indexed citations
14.
Corder, Gregory, Vivianne L. Tawfik, Dong Wang, et al.. (2017). Loss of μ opioid receptor signaling in nociceptors, but not microglia, abrogates morphine tolerance without disrupting analgesia. Nature Medicine. 23(2). 164–173. 258 indexed citations
15.
Manglik, Aashish, Henry J. Lin, Dipendra K. Aryal, et al.. (2016). Structure-based discovery of opioid analgesics with reduced side effects. Nature. 537(7619). 185–190. 697 indexed citations breakdown →
16.
Rowe, Rachel K., Gavin I. Ellis, Jordan L. Harrison, et al.. (2016). Diffuse traumatic brain injury induces prolonged immune dysregulation and potentiates hyperalgesia following a peripheral immune challenge. Molecular Pain. 12. 34 indexed citations
17.
Taylor, Bradley K. & Gregory Corder. (2014). Endogenous Analgesia, Dependence, and Latent Pain Sensitization. Current topics in behavioral neurosciences. 20. 283–325. 59 indexed citations
18.
Corder, Gregory, Suzanne Doolen, Renée R. Donahue, et al.. (2013). Constitutive μ-Opioid Receptor Activity Leads to Long-Term Endogenous Analgesia and Dependence. Science. 341(6152). 1394–1399. 184 indexed citations
19.
Taylor, Bradley K., Weisi Fu, Karen E. Kuphal, et al.. (2013). Inflammation enhances Y1 receptor signaling, neuropeptide Y-mediated inhibition of hyperalgesia, and substance P release from primary afferent neurons. Neuroscience. 256. 178–194. 38 indexed citations
20.
Corder, Gregory, Andrew L. Siegel, Allison Intondi, et al.. (2010). A Novel Method to Quantify Histochemical Changes Throughout the Mediolateral Axis of the Substantia Gelatinosa After Spared Nerve Injury: Characterization with TRPV1 and Substance P. Journal of Pain. 11(4). 388–398. 20 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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