Michael C. Salling

1.1k total citations
20 papers, 771 citations indexed

About

Michael C. Salling is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Michael C. Salling has authored 20 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 7 papers in Cognitive Neuroscience. Recurrent topics in Michael C. Salling's work include Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Receptor Mechanisms and Signaling (7 papers). Michael C. Salling is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Receptor Mechanisms and Signaling (7 papers). Michael C. Salling collaborates with scholars based in United States, Germany and Japan. Michael C. Salling's co-authors include Neil L. Harrison, Diana Martínez, Clyde W. Hodge, Marina Spanos, Joyce Besheer, Mary Jane Skelly, Tamara Zeric, Jason P. Schroeder, Jennie R. Stevenson and Sara Faccidomo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michael C. Salling

19 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Salling United States 16 566 313 219 82 81 20 771
Marcus W. Meinhardt Germany 13 502 0.9× 288 0.9× 212 1.0× 88 1.1× 63 0.8× 31 841
Jessica M. Simpson Canada 8 350 0.6× 239 0.8× 246 1.1× 74 0.9× 88 1.1× 9 658
Stefano Zucca United States 16 424 0.7× 376 1.2× 157 0.7× 49 0.6× 43 0.5× 24 756
Xiu Sun United States 7 712 1.3× 388 1.2× 240 1.1× 49 0.6× 60 0.7× 7 837
Zheng‐Ming Ding United States 21 750 1.3× 472 1.5× 208 0.9× 154 1.9× 90 1.1× 44 1.0k
Kerstin A. Ford United States 15 782 1.4× 429 1.4× 223 1.0× 116 1.4× 56 0.7× 15 1.0k
Claudio M. Queiroz Brazil 17 417 0.7× 166 0.5× 237 1.1× 80 1.0× 65 0.8× 38 788
Jarod Swant United States 11 541 1.0× 236 0.8× 208 0.9× 40 0.5× 65 0.8× 13 691
Carlos A. Jiménez‐Rivera Puerto Rico 16 536 0.9× 291 0.9× 167 0.8× 44 0.5× 52 0.6× 36 707
Anna Tchenio France 10 408 0.7× 167 0.5× 166 0.8× 64 0.8× 52 0.6× 13 595

Countries citing papers authored by Michael C. Salling

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Salling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Salling

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Salling. A scholar is included among the top collaborators of Michael C. Salling 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 C. Salling. Michael C. Salling 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.
2.
Li, Miao, et al.. (2021). Alcohol reduces the activity of somatostatin interneurons in the mouse prefrontal cortex: A neural basis for its disinhibitory effect?. Neuropharmacology. 188. 108501–108501. 16 indexed citations
3.
Kumar, J.S. Dileep, Andrei Molotkov, Michael C. Salling, et al.. (2021). In vivo evaluation of a microtubule PET ligand, [11C]MPC-6827, in mice following chronic alcohol consumption. Pharmacological Reports. 74(1). 241–247. 5 indexed citations
4.
Salling, Michael C., et al.. (2021). Negative allosteric modulation of metabotropic glutamate receptor 5 attenuates alcohol self-administration in baboons. Pharmacology Biochemistry and Behavior. 208. 173227–173227. 4 indexed citations
5.
Salling, Michael C. & Neil L. Harrison. (2020). Constitutive Genetic Deletion of Hcn1 Increases Alcohol Preference during Adolescence. Brain Sciences. 10(11). 763–763. 5 indexed citations
6.
Morikawa, Kumi, Kazuhiro Furuhashi, Carmen de Sena-Tomás, et al.. (2020). Photoactivatable Cre recombinase 3.0 for in vivo mouse applications. Nature Communications. 11(1). 2141–2141. 40 indexed citations
7.
Martínez, Diana, Mark Slifstein, David Matuskey, et al.. (2019). Kappa-opioid receptors, dynorphin, and cocaine addiction: a positron emission tomography study. Neuropsychopharmacology. 44(10). 1720–1727. 40 indexed citations
8.
Salling, Michael C., Mary Jane Skelly, Elizabeth M. Avegno, et al.. (2018). Alcohol Consumption during Adolescence in a Mouse Model of Binge Drinking Alters the Intrinsic Excitability and Function of the Prefrontal Cortex through a Reduction in the Hyperpolarization-Activated Cation Current. Journal of Neuroscience. 38(27). 6207–6222. 64 indexed citations
9.
Salling, Michael C., et al.. (2017). Cue-induced reinstatement of alcohol-seeking behavior is associated with increased CaMKII T286 phosphorylation in the reward pathway of mice. Pharmacology Biochemistry and Behavior. 163. 20–29. 21 indexed citations
10.
Harrison, Neil L., et al.. (2017). Effects of acute alcohol on excitability in the CNS. Neuropharmacology. 122. 36–45. 70 indexed citations
11.
Lowes, Daniel C., Michael C. Salling, Yuri A. Blednov, et al.. (2017). Glycine receptor α3 and α2 subunits mediate tonic and exogenous agonist-induced currents in forebrain. Proceedings of the National Academy of Sciences. 114(34). E7179–E7186. 47 indexed citations
12.
Avegno, Elizabeth M., Michael C. Salling, Anders Borgkvist, et al.. (2016). Voluntary adolescent drinking enhances excitation by low levels of alcohol in a subset of dopaminergic neurons in the ventral tegmental area. Neuropharmacology. 110(Pt A). 386–395. 22 indexed citations
13.
Salling, Michael C. & Diana Martínez. (2016). Brain Stimulation in Addiction. Neuropsychopharmacology. 41(12). 2798–2809. 80 indexed citations
14.
15.
Meyers, Jacquelyn L., Michael C. Salling, Lynn M. Almli, et al.. (2015). Frequency of alcohol consumption in humans; the role of metabotropic glutamate receptors and downstream signaling pathways. Translational Psychiatry. 5(6). e586–e586. 33 indexed citations
16.
Gallo, Eduardo F., Michael C. Salling, Bo Feng, et al.. (2015). Upregulation of Dopamine D2 Receptors in the Nucleus Accumbens Indirect Pathway Increases Locomotion but Does Not Reduce Alcohol Consumption. Neuropsychopharmacology. 40(7). 1609–1618. 36 indexed citations
17.
18.
Salling, Michael C. & Neil L. Harrison. (2014). Strychnine-sensitive glycine receptors on pyramidal neurons in layers II/III of the mouse prefrontal cortex are tonically activated. Journal of Neurophysiology. 112(5). 1169–1178. 40 indexed citations
19.
Besheer, Joyce, et al.. (2009). Interoceptive Effects of Alcohol Require mGlu5 Receptor Activity in the Nucleus Accumbens. Journal of Neuroscience. 29(30). 9582–9591. 57 indexed citations
20.
Schroeder, Jason P., Marina Spanos, Jennie R. Stevenson, et al.. (2008). Cue-induced reinstatement of alcohol-seeking behavior is associated with increased ERK1/2 phosphorylation in specific limbic brain regions: Blockade by the mGluR5 antagonist MPEP. Neuropharmacology. 55(4). 546–554. 104 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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