Grégory Scherrer

10.8k total citations · 3 hit papers
53 papers, 7.6k citations indexed

About

Grégory Scherrer is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Grégory Scherrer has authored 53 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 31 papers in Molecular Biology and 28 papers in Physiology. Recurrent topics in Grégory Scherrer's work include Pain Mechanisms and Treatments (27 papers), Neuropeptides and Animal Physiology (26 papers) and Receptor Mechanisms and Signaling (20 papers). Grégory Scherrer is often cited by papers focused on Pain Mechanisms and Treatments (27 papers), Neuropeptides and Animal Physiology (26 papers) and Receptor Mechanisms and Signaling (20 papers). Grégory Scherrer collaborates with scholars based in United States, France and Canada. Grégory Scherrer's co-authors include Allan I. Basbaum, David Julius, Diana M. Bautista, Gregory Corder, Brigitte L. Kieffer, Daniel C. Castro, Michael R. Bruchas, Audrey Matifas, Sarah Low and Vivianne L. Tawfik and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Grégory Scherrer

53 papers receiving 7.5k citations

Hit Papers

Cellular and Molecular Mechanisms of Pain 2009 2026 2014 2020 2009 2016 2025 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Scherrer United States 32 3.9k 3.8k 2.9k 820 685 53 7.6k
Hanns Ulrich Zeilhofer Switzerland 55 3.8k 1.0× 4.6k 1.2× 3.5k 1.2× 835 1.0× 1.2k 1.8× 195 9.0k
Robert W. Gereau United States 61 5.2k 1.3× 5.3k 1.4× 3.3k 1.1× 1.1k 1.3× 836 1.2× 151 10.7k
Yu‐Qiu Zhang China 45 4.3k 1.1× 2.6k 0.7× 1.6k 0.6× 698 0.9× 743 1.1× 185 7.4k
Rohini Kuner Germany 55 4.6k 1.2× 4.0k 1.0× 3.1k 1.0× 968 1.2× 1.2k 1.8× 143 9.4k
Xinzhong Dong United States 57 4.6k 1.2× 3.3k 0.9× 3.5k 1.2× 450 0.5× 745 1.1× 176 12.4k
Michael Costigan United States 35 4.1k 1.1× 2.8k 0.7× 2.0k 0.7× 342 0.4× 919 1.3× 69 7.0k
Yun Guan United States 46 3.6k 0.9× 2.3k 0.6× 1.7k 0.6× 444 0.5× 1.3k 1.9× 201 7.3k
Fernando Cerveró United Kingdom 54 5.0k 1.3× 3.0k 0.8× 1.9k 0.6× 1.0k 1.2× 1.1k 1.7× 134 8.3k
Alfredo Ribeiro‐da‐Silva Canada 46 2.8k 0.7× 2.9k 0.8× 2.0k 0.7× 582 0.7× 731 1.1× 130 5.7k
Se‐Young Choi South Korea 45 1.9k 0.5× 2.4k 0.6× 2.8k 1.0× 838 1.0× 488 0.7× 182 6.9k

Countries citing papers authored by Grégory Scherrer

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Scherrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Scherrer

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Scherrer. A scholar is included among the top collaborators of Grégory Scherrer 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 Grégory Scherrer. Grégory Scherrer 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.
Sypek, Elizabeth I., Hannah Y. Collins, Karen Huang, et al.. (2024). Diversity of microglial transcriptional responses during opioid exposure and neuropathic pain. Pain. 165(11). 2615–2628. 4 indexed citations
2.
Chen, Chong, Jesse K. Niehaus, S. Andrew Shuster, et al.. (2024). Neural circuit basis of placebo pain relief. Nature. 632(8027). 1092–1100. 25 indexed citations
3.
Niehaus, Jesse K., et al.. (2023). Cell-type specific molecular architecture for mu opioid receptor function in pain and addiction circuits. Neuropharmacology. 238. 109597–109597. 9 indexed citations
4.
Li, Shi‐Bin, Valentina Martínez Damonte, Chong Chen, et al.. (2022). Hyperexcitable arousal circuits drive sleep instability during aging. Science. 375(6583). eabh3021–eabh3021. 103 indexed citations
5.
Corder, Gregory, et al.. (2019). An amygdalar neural ensemble that encodes the unpleasantness of pain. Science. 363(6424). 276–281. 252 indexed citations
6.
Birdsong, William T., et al.. (2019). Synapse-specific opioid modulation of thalamo-cortico-striatal circuits. eLife. 8. 52 indexed citations
7.
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
8.
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
9.
Takazawa, Tomonori, Papiya Choudhury, Chi‐Kun Tong, et al.. (2017). Inhibition Mediated by Glycinergic and GABAergic Receptors on Excitatory Neurons in Mouse Superficial Dorsal Horn Is Location-Specific but Modified by Inflammation. Journal of Neuroscience. 37(9). 2336–2348. 49 indexed citations
10.
Christensen, Amelia J., Shrivats M. Iyer, Amaury François, et al.. (2016). In Vivo Interrogation of Spinal Mechanosensory Circuits. Cell Reports. 17(6). 1699–1710. 53 indexed citations
11.
Ozawa, Akihiko, Daniela Mercatelli, Jinhua Wu, et al.. (2015). Knock-In Mice with NOP-eGFP Receptors Identify Receptor Cellular and Regional Localization. Journal of Neuroscience. 35(33). 11682–11693. 53 indexed citations
12.
Liang, De‐Yong, Ming Zheng, Yuan Sun, et al.. (2014). The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration. BMC Genomics. 15(1). 345–345. 17 indexed citations
13.
Gaillard, Stéphane, Annabelle Mantilleri, Régine Hepp, et al.. (2014). GINIP, a G αi -Interacting Protein, Functions as a Key Modulator of Peripheral GABA B Receptor-Mediated Analgesia. Neuron. 84(1). 123–136. 48 indexed citations
14.
Bardoni, Rita, Tomonori Takazawa, Chi‐Kun Tong, et al.. (2013). Pre‐ and postsynaptic inhibitory control in the spinal cord dorsal horn. Annals of the New York Academy of Sciences. 1279(1). 90–96. 68 indexed citations
15.
Faget, Lauren, Eric Erbs, Julie Le Merrer, et al.. (2012). In VivoVisualization of Delta Opioid Receptors upon Physiological Activation Uncovers a Distinct Internalization Profile. Journal of Neuroscience. 32(21). 7301–7310. 34 indexed citations
16.
Urban, Rochelle, Grégory Scherrer, Evan H Goulding, Laurence H. Tecott, & Allan I. Basbaum. (2011). Behavioral indices of ongoing pain are largely unchanged in male mice with tissue or nerve injury-induced mechanical hypersensitivity. Pain. 152(5). 990–1000. 154 indexed citations
17.
Basbaum, Allan I., Diana M. Bautista, Grégory Scherrer, & David Julius. (2009). Cellular and Molecular Mechanisms of Pain. Cell. 139(2). 267–284. 3109 indexed citations breakdown →
18.
Scherrer, Grégory, Noritaka Imamachi, Yuqing Cao, et al.. (2009). Dissociation of the Opioid Receptor Mechanisms that Control Mechanical and Heat Pain. Cell. 137(6). 1148–1159. 370 indexed citations
20.
Scherrer, Grégory, Petra Tóth, Dominique Filliol, et al.. (2006). Knockin mice expressing fluorescent δ-opioid receptors uncover G protein-coupled receptor dynamics in vivo. Proceedings of the National Academy of Sciences. 103(25). 9691–9696. 186 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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