Michael J. Beckstead

2.3k total citations
51 papers, 1.7k citations indexed

About

Michael J. Beckstead is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Michael J. Beckstead has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 9 papers in Cognitive Neuroscience. Recurrent topics in Michael J. Beckstead's work include Neuroscience and Neuropharmacology Research (28 papers), Neurotransmitter Receptor Influence on Behavior (23 papers) and Receptor Mechanisms and Signaling (21 papers). Michael J. Beckstead is often cited by papers focused on Neuroscience and Neuropharmacology Research (28 papers), Neurotransmitter Receptor Influence on Behavior (23 papers) and Receptor Mechanisms and Signaling (21 papers). Michael J. Beckstead collaborates with scholars based in United States, Czechia and Canada. Michael J. Beckstead's co-authors include John T. Williams, S. John Mihic, Sarah Y. Branch, Kevin Wickman, David K. Grandy, Christopher Ford, Amanda L. Sharpe, E I Eger, Jeffrey L. Weiner and Rachel Phelan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Michael J. Beckstead

48 papers receiving 1.6k citations

Peers

Michael J. Beckstead

CMN

NEURO

PHYSI

DT Monaghan United States

Rami Yaka Israel

Kimmo Jensen Denmark

Brady K. Atwood United States

Marie L. Woolley United Kingdom

M. Teresa Vilaró Spain

Roberto I. Meléndez United States

Andrés E. Chávez Chile

Pavel I. Ortinski United States

David F. Werner United States

DT Monaghan United States

Michael J. Beckstead

1.4k ×1.2

CMN

736 ×0.9

513 ×1.6

106 ×0.8

NEURO

158 ×1.2

PHYSI

Citations per year, relative to Michael J. Beckstead Michael J. Beckstead (= 1×) peers DT Monaghan

Countries citing papers authored by Michael J. Beckstead

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Beckstead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Beckstead. 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 Michael J. Beckstead. The network helps show where Michael J. Beckstead may publish in the future.

Co-authorship network of co-authors of Michael J. Beckstead

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

All Works

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20 of 20 papers shown

Drumond‐Bock, Ana Luiza, et al.. (2025). Parallel Gene Expression Changes in Ventral Midbrain Dopamine and GABA Neurons during Normal Aging. eNeuro. 12(5). ENEURO.0107–25.2025.

Sharpe, Amanda L., et al.. (2025). Aged mice exhibit faster acquisition of intravenous opioid self-administration with variable effects on intake. Neuropharmacology. 274. 110464–110464.

Higgs, Matthew H. & Michael J. Beckstead. (2024). Impact of Unitary Synaptic Inhibition on Spike Timing in Ventral Tegmental Area Dopamine Neurons. eNeuro. 11(7). ENEURO.0203–24.2024.

Sharpe, Amanda L., et al.. (2024). VTA dopamine neurons are hyperexcitable in 3xTg-AD mice due to casein kinase 2-dependent SK channel dysfunction. Nature Communications. 15(1). 9673–9673. 5 indexed citations

Ko, Sung-Hwan, Michael B. Stout, Michael J. Beckstead, et al.. (2023). Specificity and efficiency of tamoxifen-mediated Cre induction is equivalent regardless of age. iScience. 26(12). 108413–108413. 3 indexed citations

Porter, Hunter L., Michael B. Stout, Heather C. Rice, et al.. (2023). Microglial MHC-I induction with aging and Alzheimer’s is conserved in mouse models and humans. GeroScience. 45(5). 3019–3043. 21 indexed citations

Bugescu, Raluca, et al.. (2022). Developmental or adult-onset deletion of neurotensin receptor-1 from dopamine neurons differentially reduces body weight. Frontiers in Neuroscience. 16. 874316–874316. 3 indexed citations

Sharpe, Amanda L., et al.. (2021). Repeated cocaine or methamphetamine treatment alters astrocytic CRF2 and GLAST expression in the ventral midbrain. Addiction Biology. 27(2). e13120–e13120. 10 indexed citations

Chucair‐Elliott, Ana J., Sarah R. Ocañas, David R. Stanford, et al.. (2020). Inducible cell-specific mouse models for paired epigenetic and transcriptomic studies of microglia and astroglia. Communications Biology. 3(1). 693–693. 21 indexed citations

10.

Domínguez-López, Sergio, Ramaswamy Sharma, & Michael J. Beckstead. (2019). Neurotensin receptor 1 deletion decreases methamphetamine self‐administration and the associated reduction in dopamine cell firing. Addiction Biology. 26(1). e12854–e12854. 6 indexed citations

11.

Sharpe, Amanda L., et al.. (2019). A history of ethanol drinking increases locomotor stimulation and blunts enhancement of dendritic dopamine transmission by methamphetamine. Addiction Biology. 25(4). e12763–e12763. 4 indexed citations

12.

Piccart, Elisabeth, et al.. (2019). Acute and subchronic PCP attenuate D2 autoreceptor signaling in substantia nigra dopamine neurons. European Neuropsychopharmacology. 29(3). 444–449. 5 indexed citations

13.

Newman, Amy Hauck, Jianjing Cao, Jacqueline D. Keighron, et al.. (2019). Translating the atypical dopamine uptake inhibitor hypothesis toward therapeutics for treatment of psychostimulant use disorders. Neuropsychopharmacology. 44(8). 1435–1444. 35 indexed citations

14.

Beckstead, Michael J., et al.. (2018). Diverse actions of the modulatory peptide neurotensin on central synaptic transmission. European Journal of Neuroscience. 49(6). 784–793. 26 indexed citations

15.

Sharpe, Amanda L., et al.. (2014). Methamphetamine Self-Administration in Mice Decreases GIRK Channel-Mediated Currents in Midbrain Dopamine Neurons. The International Journal of Neuropsychopharmacology. 18(5). pyu073–pyu073. 51 indexed citations

16.

Branch, Sarah Y., et al.. (2013). Food Restriction Increases Glutamate Receptor-Mediated Burst Firing of Dopamine Neurons. Journal of Neuroscience. 33(34). 13861–13872. 62 indexed citations

17.

Beckstead, Michael J., Stephanie C. Gantz, Christopher Ford, et al.. (2009). CRF Enhancement of GIRK Channel-Mediated Transmission in Dopamine Neurons. Neuropsychopharmacology. 34(8). 1926–1935. 54 indexed citations

18.

Havrilla, George J., et al.. (2006). Characterizing process semiconductor thin films with a confocal micro X-ray fluorescence microscope. Powder Diffraction. 21(2). 145–147. 3 indexed citations

19.

Lopreato, Gregory F., Rachel Phelan, Cecilia M. Borghese, Michael J. Beckstead, & S. John Mihic. (2003). Inhaled drugs of abuse enhance serotonin-3 receptor function. Drug and Alcohol Dependence. 70(1). 11–15. 69 indexed citations

20.

Beckstead, Michael J., et al.. (2002). Anesthetic and ethanol effects on spontaneously opening glycine receptor channels. Journal of Neurochemistry. 82(6). 1343–1351. 34 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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