Michael A. Ackley

1.1k total citations
22 papers, 859 citations indexed

About

Michael A. Ackley is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Michael A. Ackley has authored 22 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Michael A. Ackley's work include Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (8 papers) and Pain Mechanisms and Treatments (8 papers). Michael A. Ackley is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (8 papers) and Pain Mechanisms and Treatments (8 papers). Michael A. Ackley collaborates with scholars based in United States, United Kingdom and China. Michael A. Ackley's co-authors include Anne E. King, Stephen A. Baldwin, Carol E. Cass, James D. Young, James Doherty, Stephen J. Moss, Paul Davies, Albert J. Robichaud, Amit Modgil and Francesco G. Salituro and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physiology and Brain Research.

In The Last Decade

Michael A. Ackley

22 papers receiving 845 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael A. Ackley 401 287 207 152 100 22 859
Alfredo Oliveros 353 0.9× 364 1.3× 82 0.4× 116 0.8× 131 1.3× 51 932
Thomas Tatschner 368 0.9× 441 1.5× 50 0.2× 201 1.3× 190 1.9× 33 1.4k
Hans‐Willi Clement 201 0.5× 166 0.6× 63 0.3× 67 0.4× 92 0.9× 31 671
Flóra Gölöncsér 142 0.4× 150 0.5× 404 2.0× 99 0.7× 186 1.9× 24 789
Mary Cohen-Williams 445 1.1× 441 1.5× 153 0.7× 136 0.9× 23 0.2× 28 892
Cosima Rhein 124 0.3× 595 2.1× 76 0.4× 301 2.0× 188 1.9× 32 1.1k
Renata Leke 349 0.9× 219 0.8× 78 0.4× 114 0.8× 97 1.0× 22 861
Olga Nikodijević 344 0.9× 351 1.2× 500 2.4× 127 0.8× 45 0.5× 20 961
Magdalena Cieślik 98 0.2× 259 0.9× 93 0.4× 190 1.3× 73 0.7× 33 749
Erik I. Charych 492 1.2× 747 2.6× 30 0.1× 117 0.8× 283 2.8× 18 1.3k

Countries citing papers authored by Michael A. Ackley

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Ackley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Ackley

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Ackley. A scholar is included among the top collaborators of Michael A. Ackley 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 A. Ackley. Michael A. Ackley 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.
Tang, Weiting, Jacob T. Beckley, Jin Zhang, et al.. (2023). Novel neuroactive steroids as positive allosteric modulators of NMDA receptors: mechanism, site of action, and rescue pharmacology on GRIN variants associated with neurological conditions. Cellular and Molecular Life Sciences. 80(2). 42–42. 11 indexed citations
2.
Beckley, Jacob T., Teresa K. Aman, Michael A. Ackley, et al.. (2023). Pharmacological characterization of SAGE‐718, a novel positive allosteric modulator of N‐methyl‐d‐aspartate receptors. British Journal of Pharmacology. 181(7). 1028–1050. 11 indexed citations
3.
Hill, Matthew D., María‐Jesús Blanco, Francesco G. Salituro, et al.. (2022). SAGE-718: A First-in-ClassN-Methyl-d-Aspartate Receptor Positive Allosteric Modulator for the Potential Treatment of Cognitive Impairment. Journal of Medicinal Chemistry. 65(13). 9063–9075. 28 indexed citations
4.
Vien, Thuy N., Michael A. Ackley, James Doherty, Stephen J. Moss, & Paul Davies. (2022). Preventing Phosphorylation of the GABAAR β3 Subunit Compromises the Behavioral Effects of Neuroactive Steroids. Frontiers in Molecular Neuroscience. 15. 817996–817996. 9 indexed citations
5.
Althaus, Alison L., Michael A. Ackley, Gabriel M. Belfort, et al.. (2020). Preclinical characterization of zuranolone (SAGE-217), a selective neuroactive steroid GABAA receptor positive allosteric modulator. Neuropharmacology. 181. 108333–108333. 89 indexed citations
6.
Modgil, Amit, Thuy N. Vien, Michael A. Ackley, et al.. (2019). Neuroactive Steroids Reverse Tonic Inhibitory Deficits in Fragile X Syndrome Mouse Model. Frontiers in Molecular Neuroscience. 12. 15–15. 9 indexed citations
7.
Zhang, Yihui, Amit Modgil, Thuy N. Vien, et al.. (2019). Metabotropic, but not allosteric, effects of neurosteroids on GABAergic inhibition depend on the phosphorylation of GABAA receptors. Journal of Biological Chemistry. 294(32). 12220–12230. 44 indexed citations
9.
Hammond, Rebecca, Alison L. Althaus, Michael A. Ackley, et al.. (2017). Anticonvulsant profile of the neuroactive steroid, SGE-516, in animal models. Epilepsy Research. 134. 16–25. 19 indexed citations
11.
Salituro, Francesco G., Boyd L. Harrison, Richard T. Beresis, et al.. (2015). Neuroactive Steroids. 1. Positive Allosteric Modulators of the (γ-Aminobutyric Acid) A Receptor: Structure–Activity Relationships of Heterocyclic Substitution at C-21. Journal of Medicinal Chemistry. 58(8). 3500–3511. 43 indexed citations
12.
King, Anne E., Michael A. Ackley, Carol E. Cass, James D. Young, & Stephen A. Baldwin. (2006). Nucleoside transporters: from scavengers to novel therapeutic targets. Trends in Pharmacological Sciences. 27(8). 416–425. 224 indexed citations
13.
Ackley, Michael A., Stephen A. Baldwin, & Anne E. King. (2004). Adenosine contributes to μ-opioid synaptic inhibition in rat substantia gelatinosa in vitro. Neuroscience Letters. 376(2). 102–106. 6 indexed citations
14.
Ackley, Michael A., Ricardo Jose Moylan Governo, Carol E. Cass, et al.. (2003). Control of glutamatergic neurotransmission in the rat spinal dorsal horn by the nucleoside transporter ENT1. The Journal of Physiology. 548(2). 507–517. 45 indexed citations
15.
Ackley, Michael A., et al.. (2001). A cellular mechanism for the antinociceptive effect of a kappa opioid receptor agonist. Pain. 91(3). 377–388. 42 indexed citations
16.
Ackley, Michael A., et al.. (2001). Peripheral inflammation reduces the response of spinal dorsal horn neurons to an NK3 receptor agonist. Neuroscience Letters. 308(1). 13–16. 6 indexed citations
17.
Bird, Gary C., Aziz U. R. Asghar, Michael A. Ackley, & A.E. King. (2001). Modulation of primary afferent-mediated neurotransmission and Fos expression by glutamate uptake inhibition in rat spinal neurones in vitro. Neuropharmacology. 41(5). 582–591. 9 indexed citations
19.
King, A.E., J.R. Slack, J.A. López‐García, & Michael A. Ackley. (1997). Tachykinin Actions on Deep Dorsal Horn Neurons In Wm: An Electrophysiological and Morphological Study in the Immature Rat. European Journal of Neuroscience. 9(5). 1037–1046. 12 indexed citations
20.
King, A.E., Michael A. Ackley, & J.R. Slack. (1997). Profile of neuronal excitation following selective activation of the neurokinin-1 receptor in rat deep dorsal horn in vitro. Brain Research. 767(1). 55–63. 12 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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