James A. D’amour

2.0k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

James A. D’amour is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, James A. D’amour has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in James A. D’amour's work include Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (4 papers) and Pain Mechanisms and Treatments (3 papers). James A. D’amour is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (4 papers) and Pain Mechanisms and Treatments (3 papers). James A. D’amour collaborates with scholars based in United States, Slovakia and Finland. James A. D’amour's co-authors include Robert C. Froemke, Bianca Jones Marlin, Moses V. Chao, Mariela Mitre, Jing Wang, Michelle Lee, Chen Su, Toby Manders, Karl Deisseroth and Runtao Yang and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

James A. D’amour

13 papers receiving 1.3k citations

Hit Papers

Oxytocin enables maternal behaviour by balancing cortical... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

James A. D’amour
Laura A. DeNardo United States
David H. Root United States
Romy Wichmann United States
Edward H. Nieh United States
Joel D. Hahn United States
Randall L. Ung United States
Milica Marković Switzerland
Laura A. DeNardo United States
James A. D’amour
Citations per year, relative to James A. D’amour James A. D’amour (= 1×) peers Laura A. DeNardo

Countries citing papers authored by James A. D’amour

Since Specialization
Citations

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

Fields of papers citing papers by James A. D’amour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. D’amour. 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 James A. D’amour. The network helps show where James A. D’amour may publish in the future.

Co-authorship network of co-authors of James A. D’amour

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

All Works

13 of 13 papers shown
1.
Mahadevan, Vivek, Yajun Zhang, James A. D’amour, et al.. (2020). Emergence of non-canonical parvalbumin-containing interneurons in hippocampus of a murine model of type I lissencephaly. eLife. 9. 15 indexed citations
3.
Field, Rachel E., James A. D’amour, Robin Tremblay, et al.. (2020). Heterosynaptic Plasticity Determines the Set Point for Cortical Excitatory-Inhibitory Balance. Neuron. 106(5). 842–854.e4. 52 indexed citations
4.
Costa, Rui Ponte, Zahid Padamsey, James A. D’amour, et al.. (2017). Synaptic Transmission Optimization Predicts Expression Loci of Long-Term Plasticity. Neuron. 96(1). 177–189.e7. 25 indexed citations
5.
Wong, Li Chin, Li Wang, James A. D’amour, et al.. (2016). Effective Modulation of Male Aggression through Lateral Septum to Medial Hypothalamus Projection. Current Biology. 26(5). 593–604. 130 indexed citations
6.
D’amour, James A. & Robert C. Froemke. (2015). Inhibitory and Excitatory Spike-Timing-Dependent Plasticity in the Auditory Cortex. Neuron. 86(2). 514–528. 133 indexed citations
7.
King, Jean-Rémi, et al.. (2015). Rodent auditory perception: Critical band limitations and plasticity. Neuroscience. 296. 55–65. 12 indexed citations
8.
Marlin, Bianca Jones, Mariela Mitre, James A. D’amour, Moses V. Chao, & Robert C. Froemke. (2015). Oxytocin enables maternal behaviour by balancing cortical inhibition. Nature. 520(7548). 499–504. 507 indexed citations breakdown →
9.
D’amour, James A., Daniel J. Friedman, John J. LaFrancois, et al.. (2015). Interictal spike frequency varies with ovarian cycle stage in a rat model of epilepsy. Experimental Neurology. 269. 102–119. 28 indexed citations
10.
Su, Chen, James A. D’amour, Michelle Lee, et al.. (2015). Persistent pain alters AMPA receptor subunit levels in the nucleus accumbens. Molecular Brain. 8(1). 46–46. 40 indexed citations
11.
Lee, Michelle, Toby Manders, Chen Su, et al.. (2015). Activation of Corticostriatal Circuitry Relieves Chronic Neuropathic Pain. Journal of Neuroscience. 35(13). 5247–5259. 220 indexed citations
12.
Goffer, Yossef, Duo Xu, James A. D’amour, et al.. (2013). Calcium-Permeable AMPA Receptors in the Nucleus Accumbens Regulate Depression-Like Behaviors in the Chronic Neuropathic Pain State. Journal of Neuroscience. 33(48). 19034–19044. 114 indexed citations
13.
Deville, Yannick, et al.. (2002). Multi-tag radio-frequency identification systems based on new blind source separation neural networks. Neurocomputing. 49(1-4). 369–388. 13 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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