Michael Popiolek

992 total citations
15 papers, 398 citations indexed

About

Michael Popiolek is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biochemistry. According to data from OpenAlex, Michael Popiolek has authored 15 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Michael Popiolek's work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (10 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). Michael Popiolek is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (10 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). Michael Popiolek collaborates with scholars based in United States, United Kingdom and Canada. Michael Popiolek's co-authors include Jeremy R. Edgerton, Catherine A. Thorn, Evan P. Lebois, Steven M. Paul, Andrew Miller, Samantha E. Yohn, Christian C. Felder, Rouba Kozak, Stefanus J. Steyn and Mark H. Pausch and has published in prestigious journals such as Journal of Biological Chemistry, American Journal of Psychiatry and Biochemistry.

In The Last Decade

Michael Popiolek

15 papers receiving 392 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 Popiolek United States 12 245 197 69 40 37 15 398
Courtney R. Sullivan United States 8 209 0.9× 168 0.9× 43 0.6× 100 2.5× 35 0.9× 12 419
Makiko Kishimoto Japan 11 156 0.6× 183 0.9× 44 0.6× 50 1.3× 63 1.7× 13 339
Gregory W.H. Wong Canada 11 200 0.8× 191 1.0× 117 1.7× 87 2.2× 40 1.1× 12 437
Alberto Pauletti Italy 8 141 0.6× 211 1.1× 173 2.5× 19 0.5× 18 0.5× 13 481
Danette Pascarella United States 6 341 1.4× 354 1.8× 66 1.0× 70 1.8× 118 3.2× 6 528
T M China 5 191 0.8× 123 0.6× 37 0.5× 47 1.2× 61 1.6× 7 418
Takehito Okubo Japan 14 231 0.9× 197 1.0× 46 0.7× 12 0.3× 22 0.6× 22 496
Tatyana Y. Postnikova Russia 14 166 0.7× 283 1.4× 149 2.2× 23 0.6× 15 0.4× 39 471
Gauri H. Malthankar‐Phatak United States 9 111 0.5× 203 1.0× 101 1.5× 16 0.4× 42 1.1× 10 406
Tatsuya Kotaka Japan 9 138 0.6× 161 0.8× 79 1.1× 63 1.6× 69 1.9× 13 328

Countries citing papers authored by Michael Popiolek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Popiolek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Popiolek

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

All Works

15 of 15 papers shown
1.
Paul, Steven M., Samantha E. Yohn, Michael Popiolek, Andrew Miller, & Christian C. Felder. (2022). Muscarinic Acetylcholine Receptor Agonists as Novel Treatments for Schizophrenia. American Journal of Psychiatry. 179(9). 611–627. 84 indexed citations
2.
Popiolek, Michael, Yukitoshi Izumi, Allen T. Hopper, et al.. (2020). Effects of CYP46A1 Inhibition on Long-Term-Depression in Hippocampal Slices ex vivo and 24S-Hydroxycholesterol Levels in Mice in vivo. Frontiers in Molecular Neuroscience. 13. 568641–568641. 21 indexed citations
3.
Young, Damon, Michael Popiolek, Patrick Trapa, et al.. (2020). D1 Agonist Improved Movement of Parkinsonian Nonhuman Primates with Limited Dyskinesia Side Effects. ACS Chemical Neuroscience. 11(4). 560–566. 18 indexed citations
4.
Yang, Qingyi, Erik LaChapelle, Natasha M. Kablaoui, et al.. (2019). Discovery of Selective M4 Muscarinic Acetylcholine Receptor Agonists with Novel Carbamate Isosteres. ACS Medicinal Chemistry Letters. 10(6). 941–948. 9 indexed citations
5.
Stanley, Philip, Elsa Y. Pioli, Rouba Kozak, Michael Popiolek, & Erwan Bézard. (2018). Meta‐analysis of amantadine efficacy for improving preclinical research reliability. Movement Disorders. 33(10). 1555–1557. 6 indexed citations
6.
Popiolek, Michael, et al.. (2018). Lack of Effect of Sodium Benzoate at Reported Clinical Therapeutic Concentration on d-Alanine Metabolism in Dogs. ACS Chemical Neuroscience. 9(11). 2832–2837. 11 indexed citations
7.
Thorn, Catherine A., John F. Harms, Jeremy R. Edgerton, et al.. (2018). Striatal, Hippocampal, and Cortical Networks Are Differentially Responsive to the M4- and M1-Muscarinic Acetylcholine Receptor Mediated Effects of Xanomeline. ACS Chemical Neuroscience. 10(3). 1753–1764. 27 indexed citations
8.
Popiolek, Michael, Yael Mandelblat-Cerf, Damon Young, et al.. (2018). In Vivo Modulation of Hippocampal Excitability by M4 Muscarinic Acetylcholine Receptor Activator: Implications for Treatment of Alzheimer’s Disease and Schizophrenic Patients. ACS Chemical Neuroscience. 10(3). 1091–1098. 16 indexed citations
9.
Elliott, Christina, John Day, J. N. Findlay, et al.. (2017). FBXW7 regulates DISC1 stability via the ubiquitin-proteosome system. Molecular Psychiatry. 23(5). 1278–1286. 27 indexed citations
10.
Lebois, Evan P., et al.. (2017). Muscarinic receptor subtype distribution in the central nervous system and relevance to aging and Alzheimer's disease. Neuropharmacology. 136(Pt C). 362–373. 88 indexed citations
11.
Thorn, Catherine A., et al.. (2017). Effects of M1 and M4 activation on excitatory synaptic transmission in CA1. Hippocampus. 27(7). 794–810. 36 indexed citations
12.
Rojas, Camilo, Jesse Alt, Nancy A. Ator, et al.. (2016). Oral administration of D-alanine in monkeys robustly increases plasma and cerebrospinal fluid levels but experimental D-amino acid oxidase inhibitors had minimal effect. Journal of Psychopharmacology. 30(9). 887–895. 7 indexed citations
13.
Popiolek, Michael, David P. Nguyen, Veronica Reinhart, et al.. (2016). Inositol Phosphate Accumulation in Vivo Provides a Measure of Muscarinic M1 Receptor Activation. Biochemistry. 55(51). 7073–7085. 11 indexed citations
14.
Popiolek, Michael, John F. Ross, Erik I. Charych, et al.. (2011). d-Amino Acid Oxidase Activity Is Inhibited by an Interaction with Bassoon Protein at the Presynaptic Active Zone. Journal of Biological Chemistry. 286(33). 28867–28875. 23 indexed citations
15.
Fan, Yi, Margaret Lai, Kelly Sullivan, et al.. (2008). The identification of neurotensin NTS1 receptor partial agonists through a ligand-based virtual screening approach. Bioorganic & Medicinal Chemistry Letters. 18(21). 5789–5791. 14 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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