Gregory V. Carr

1.1k total citations
30 papers, 771 citations indexed

About

Gregory V. Carr is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Gregory V. Carr has authored 30 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 10 papers in Cognitive Neuroscience. Recurrent topics in Gregory V. Carr's work include Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (10 papers) and Stress Responses and Cortisol (5 papers). Gregory V. Carr is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (10 papers) and Stress Responses and Cortisol (5 papers). Gregory V. Carr collaborates with scholars based in United States, Italy and Belgium. Gregory V. Carr's co-authors include Irwin Lucki, Lee E. Schechter, Rita J. Valentino, Thelma Bethea, Debra A. Bangasser, Matthew B. Young, Daniel R. Weinberger, Francesco Papaleo, Pouya Tahsili‐Fahadan and James C. Barrow and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Brain Research.

In The Last Decade

Gregory V. Carr

28 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory V. Carr United States 14 399 324 129 117 104 30 771
Anita J. Bechtholt United States 17 562 1.4× 335 1.0× 121 0.9× 125 1.1× 108 1.0× 20 869
Michel M. M. Verheij Netherlands 18 555 1.4× 338 1.0× 94 0.7× 199 1.7× 56 0.5× 48 922
James Maksymetz United States 12 422 1.1× 353 1.1× 104 0.8× 162 1.4× 76 0.7× 13 691
Carla Maciag United States 12 319 0.8× 351 1.1× 126 1.0× 48 0.4× 86 0.8× 14 605
Nichole M. Neugebauer‎ United States 18 451 1.1× 362 1.1× 62 0.5× 79 0.7× 62 0.6× 33 685
Laurent Tritschler France 14 345 0.9× 237 0.7× 146 1.1× 110 0.9× 183 1.8× 26 783
Gunnar Flik Netherlands 16 417 1.0× 289 0.9× 77 0.6× 99 0.8× 126 1.2× 27 899
Éva Hajós‐Korcsok United States 14 520 1.3× 255 0.8× 97 0.8× 207 1.8× 144 1.4× 25 858
Caroline Renard France 9 327 0.8× 212 0.7× 134 1.0× 56 0.5× 125 1.2× 14 721
Brian J. Platt United States 14 439 1.1× 212 0.7× 150 1.2× 167 1.4× 185 1.8× 17 902

Countries citing papers authored by Gregory V. Carr

Since Specialization
Citations

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

Fields of papers citing papers by Gregory V. Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory V. Carr

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory V. Carr. A scholar is included among the top collaborators of Gregory V. Carr 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 V. Carr. Gregory V. Carr 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.
Poslusney, Michael S., Yifang Huang, Yaohui Zhu, et al.. (2026). Development of a Novel Benzodiazepine to Delineate Peripheral GABA-A Signaling Mechanisms in Visceral Pain Syndromes. Cellular and Molecular Gastroenterology and Hepatology. 20(4). 101704–101704.
2.
Li, Jing, Karen Scida, Miguel Aller Pellitero, et al.. (2025). Monitoring HIV Antiretroviral Therapy via Aptamer‐Based Measurements in Preclinical Animal Models, in Human Plasma. Advanced Sensor Research. 4(3). 2 indexed citations
3.
4.
Scida, Karen, et al.. (2025). Therapeutic Drug Distribution across the Mouse Brain Is Heterogeneous as Revealed by In Vivo, Spatially Resolved Aptamer-Based Sensing. ACS Pharmacology & Translational Science. 8(2). 435–445. 3 indexed citations
5.
6.
Mei, Fan, Chen Zhao, Yueyang Zhao, et al.. (2024). Ngfr+ cholinergic projection from SI/nBM to mPFC selectively regulates temporal order recognition memory. Nature Communications. 15(1). 7342–7342. 4 indexed citations
7.
Hallock, Henry L., et al.. (2023). Electrophysiological correlates of attention in the locus coeruleus–prelimbic cortex circuit during the rodent continuous performance test. Neuropsychopharmacology. 49(3). 521–531. 10 indexed citations
8.
Li, Ye, et al.. (2023). Degrading stimuli by reducing image resolution impairs performance in a rodent continuous performance test. Behavioural Processes. 212. 104941–104941. 3 indexed citations
9.
Carr, Gregory V., et al.. (2023). Paternal morphine exposure in rats reduces social play in adolescent male progeny without affecting drug-taking behavior in juvenile males or female offspring. Molecular and Cellular Neuroscience. 126. 103877–103877. 6 indexed citations
10.
Shaver, Alexander, Karen Scida, Melanie L. Johnston, et al.. (2022). Optimization of Vancomycin Aptamer Sequence Length Increases the Sensitivity of Electrochemical, Aptamer-Based Sensors In Vivo. ACS Sensors. 7(12). 3895–3905. 48 indexed citations
11.
Barrow, James C., et al.. (2020). Inhibition of Catechol-O-methyltransferase Does Not Alter Effort-Related Choice Behavior in a Fixed Ratio/Concurrent Chow Task in Male Mice. Frontiers in Behavioral Neuroscience. 14. 73–73. 8 indexed citations
12.
13.
Lohoff, Falk W., Gregory V. Carr, Bethany R. Brookshire, Thomas N. Ferraro, & Irwin Lucki. (2019). Deletion of the vesicular monoamine transporter 1 (vmat1/slc18a1) gene affects dopamine signaling. Brain Research. 1712. 151–157. 7 indexed citations
14.
Carr, Gregory V., et al.. (2012). Loss of dysbindin-1 in mice impairs reward-based operant learning by increasing impulsive and compulsive behavior. Behavioural Brain Research. 241. 173–184. 17 indexed citations
15.
Carr, Gregory V., Lee E. Schechter, & Irwin Lucki. (2010). Antidepressant and anxiolytic effects of selective 5-HT6 receptor agonists in rats. Psychopharmacology. 213(2-3). 499–507. 71 indexed citations
16.
Carr, Gregory V. & Irwin Lucki. (2010). The role of serotonin receptor subtypes in treating depression: a review of animal studies. Psychopharmacology. 213(2-3). 265–287. 195 indexed citations
17.
Tahsili‐Fahadan, Pouya, Gregory V. Carr, Glenda C. Harris, & Gary Aston‐Jones. (2010). Modafinil Blocks Reinstatement of Extinguished Opiate-Seeking in Rats: Mediation by a Glutamate Mechanism. Neuropsychopharmacology. 35(11). 2203–2210. 40 indexed citations
18.
Carr, Gregory V. & Irwin Lucki. (2010). Comparison of the kappa-opioid receptor antagonist DIPPA in tests of anxiety-like behavior between Wistar Kyoto and Sprague Dawley rats. Psychopharmacology. 210(2). 295–302. 50 indexed citations
19.
Carr, Gregory V., Debra A. Bangasser, Thelma Bethea, et al.. (2009). Antidepressant-Like Effects of κ-Opioid Receptor Antagonists in Wistar Kyoto Rats. Neuropsychopharmacology. 35(3). 752–763. 112 indexed citations
20.
Carr, Gregory V. & Stephen D. Mague. (2008). p38: The Link between the κ-Opioid Receptor and Dysphoria. Journal of Neuroscience. 28(10). 2299–2300. 5 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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