Brady K. Atwood

3.8k total citations · 1 hit paper
55 papers, 2.6k citations indexed

About

Brady K. Atwood is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Brady K. Atwood has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 13 papers in Cognitive Neuroscience. Recurrent topics in Brady K. Atwood's work include Neuroscience and Neuropharmacology Research (21 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Cannabis and Cannabinoid Research (10 papers). Brady K. Atwood is often cited by papers focused on Neuroscience and Neuropharmacology Research (21 papers), Neurotransmitter Receptor Influence on Behavior (20 papers) and Cannabis and Cannabinoid Research (10 papers). Brady K. Atwood collaborates with scholars based in United States, Chile and Germany. Brady K. Atwood's co-authors include Ken Mackie, Alex Straiker, James Wager‐Miller, David M. Lovinger, Braulio Muñoz, Jacqueline Lopez, Gregory G. Grecco, David L. Haggerty, John W. Huffman and Brandon M. Fritz and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Brady K. Atwood

53 papers receiving 2.5k citations

Hit Papers

CB2: a cannabinoid receptor with an identity crisis 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brady K. Atwood United States 23 1.4k 1.1k 694 430 291 55 2.6k
Zuzana Justinová United States 38 2.4k 1.8× 2.0k 1.8× 1.2k 1.7× 458 1.1× 289 1.0× 65 3.7k
María Scherma Italy 26 1.3k 0.9× 1.2k 1.1× 530 0.8× 250 0.6× 244 0.8× 67 2.1k
Alex Straiker United States 33 1.9k 1.4× 2.7k 2.5× 789 1.1× 828 1.9× 234 0.8× 81 3.7k
Rosa M. Tolón Spain 28 1.7k 1.2× 2.4k 2.3× 605 0.9× 545 1.3× 368 1.3× 52 3.3k
Ainhoa Bilbao Germany 33 2.0k 1.5× 1.7k 1.6× 1.1k 1.6× 701 1.6× 513 1.8× 63 4.2k
Jocelyn F. Krey United States 21 836 0.6× 1.1k 1.1× 895 1.3× 435 1.0× 504 1.7× 35 2.8k
Natalia Realini Italy 25 1.1k 0.8× 1.6k 1.5× 582 0.8× 322 0.7× 230 0.8× 43 2.4k
Patrick M. Beardsley United States 30 2.1k 1.5× 546 0.5× 1.2k 1.7× 289 0.7× 394 1.4× 111 3.1k
Balapal S. Basavarajappa United States 40 1.8k 1.3× 2.2k 2.1× 827 1.2× 363 0.8× 375 1.3× 70 3.7k
Emilio Fernández‐Espejo Spain 27 1.3k 1.0× 607 0.6× 533 0.8× 369 0.9× 387 1.3× 89 2.4k

Countries citing papers authored by Brady K. Atwood

Since Specialization
Citations

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

Fields of papers citing papers by Brady K. Atwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brady K. Atwood. 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 Brady K. Atwood. The network helps show where Brady K. Atwood may publish in the future.

Co-authorship network of co-authors of Brady K. Atwood

This figure shows the co-authorship network connecting the top 25 collaborators of Brady K. Atwood. A scholar is included among the top collaborators of Brady K. Atwood 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 Brady K. Atwood. Brady K. Atwood 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.
Jury, Nur, et al.. (2025). Tau depletion diminishes vascular amyloid‐related deficits in a mouse model of cerebral amyloid angiopathy. Alzheimer s & Dementia. 21(5). e70238–e70238. 1 indexed citations
4.
Muñoz, Braulio & Brady K. Atwood. (2023). A novel inhibitory corticostriatal circuit that expresses mu opioid receptor-mediated synaptic plasticity. Neuropharmacology. 240. 109696–109696. 1 indexed citations
5.
Chhabra, Kavaljit H., et al.. (2023). ADGRL1 is a glucose receptor involved in mediating energy and glucose homeostasis. Diabetologia. 67(1). 170–189. 5 indexed citations
6.
Muñoz, Braulio, Brandon M. Fritz, Fuqin Yin, & Brady K. Atwood. (2022). HCN1 channels mediate mu opioid receptor long‐term depression at insular cortex inputs to the dorsal striatum. The Journal of Physiology. 600(22). 4917–4938. 4 indexed citations
7.
Haggerty, David L., et al.. (2022). The role of anterior insular cortex inputs to dorsolateral striatum in binge alcohol drinking. eLife. 11. 20 indexed citations
8.
Muñoz, Braulio, et al.. (2022). Opioid Receptor-Mediated Regulation of Neurotransmission in the Brain. Frontiers in Molecular Neuroscience. 15. 919773–919773. 66 indexed citations
9.
10.
Smith, Daniel C., Byung-Wook Kim, Md. Mamun Al-Amin, et al.. (2021). Deletion of Abi3 gene locus exacerbates neuropathological features of Alzheimer’s disease in a mouse model of Aβ amyloidosis. Science Advances. 7(45). eabe3954–eabe3954. 37 indexed citations
11.
Bozadjieva-Kramer, Nadejda, Rachel Ross, Henning Fenselau, et al.. (2021). The Role of Mediobasal Hypothalamic PACAP in the Control of Body Weight and Metabolism. Endocrinology. 162(4). 18 indexed citations
12.
Grecco, Gregory G., Yong Gao, Hongyu Gao, Yunlong Liu, & Brady K. Atwood. (2021). Prenatal opioid administration induces shared alterations to the maternal and offspring gut microbiome: A preliminary analysis. Drug and Alcohol Dependence. 227. 108914–108914. 19 indexed citations
13.
Muñoz, Braulio, David L. Haggerty, & Brady K. Atwood. (2020). Synapse-specific expression of mu opioid receptor long-term depression in the dorsomedial striatum. PMC. 1 indexed citations
14.
Grecco, Gregory G., Brandon M. Fritz, Braulio Muñoz, et al.. (2020). Mu opioid receptors on vGluT2‐expressing glutamatergic neurons modulate opioid reward. Addiction Biology. 26(3). e12942–e12942. 22 indexed citations
15.
Muñoz, Braulio, David L. Haggerty, & Brady K. Atwood. (2020). Synapse-specific expression of mu opioid receptor long-term depression in the dorsomedial striatum. Scientific Reports. 10(1). 7234–7234. 18 indexed citations
16.
Atwood, Brady K., et al.. (2020). Basal ganglia role in learning rewarded actions and executing previously learned choices: Healthy and diseased states. PLoS ONE. 15(2). e0228081–e0228081. 9 indexed citations
17.
Haggerty, David L., et al.. (2019). Adeno-Associated Viral Vectors in Neuroscience Research. Molecular Therapy — Methods & Clinical Development. 17. 69–82. 80 indexed citations
18.
Muñoz, Braulio, Brandon M. Fritz, Fuqin Yin, & Brady K. Atwood. (2018). Alcohol exposure disrupts mu opioid receptor-mediated long-term depression at insular cortex inputs to dorsolateral striatum. RePEc: Research Papers in Economics. 1 indexed citations
19.
Atwood, Brady K., David A. Kupferschmidt, & David M. Lovinger. (2014). Opioids induce dissociable forms of long-term depression of excitatory inputs to the dorsal striatum. Nature Neuroscience. 17(4). 540–548. 97 indexed citations
20.
Atwood, Brady K., Donghoon Lee, Alex Straiker, Theodore S. Widlanski, & Ken Mackie. (2011). CP47,497-C8 and JWH073, commonly found in ‘Spice’ herbal blends, are potent and efficacious CB1 cannabinoid receptor agonists. European Journal of Pharmacology. 659(2-3). 139–145. 93 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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