Michael J. Higley

6.3k total citations · 1 hit paper
53 papers, 4.3k citations indexed

About

Michael J. Higley is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Michael J. Higley has authored 53 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 31 papers in Cognitive Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Michael J. Higley's work include Neuroscience and Neuropharmacology Research (35 papers), Neural dynamics and brain function (27 papers) and Photoreceptor and optogenetics research (14 papers). Michael J. Higley is often cited by papers focused on Neuroscience and Neuropharmacology Research (35 papers), Neural dynamics and brain function (27 papers) and Photoreceptor and optogenetics research (14 papers). Michael J. Higley collaborates with scholars based in United States, Italy and Chile. Michael J. Higley's co-authors include Marina R. Picciotto, Bernardo L. Sabatini, Yann S. Mineur, Diego Contreras, Chiayu Q. Chiu, György Lür, Jessica A. Cardin, Graham C. R. Ellis‐Davies, Michael C. Crair and Lan Tang and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Michael J. Higley

51 papers receiving 4.3k citations

Hit Papers

Acetylcholine as a Neuromodulator: Cholinergic Signaling ... 2012 2026 2016 2021 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Acetylcholine as a Neuromodulator: Cholinergic Signaling Shapes Nervous System Function and Behavior
    2012 970 citations Michael J. Higley et al. Neuron profile →

Peers

Michael J. Higley
Qiang Zhou China
Pìotr Bregestovski France
Jens Eilers Germany
Arvind Govindarajan United States
Jianhong Luo China
Paul De Koninck Canada
Thomas S. Otis United States
Gavin Rumbaugh United States
Elek Molnár United Kingdom
Qiang Zhou China
Michael J. Higley
Citations per year, relative to Michael J. Higley Michael J. Higley (= 1×) peers Qiang Zhou

Countries citing papers authored by Michael J. Higley

Since Specialization
Citations

This map shows the geographic impact of Michael J. Higley'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. Higley 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. Higley more than expected).

Fields of papers citing papers by Michael J. Higley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Higley. A scholar is included among the top collaborators of Michael J. Higley 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. Higley. Michael J. Higley 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.
Wang, Alex, Katie Ferguson, Jyoti Gupta, et al.. (2025). Delayed integration of somatostatin interneurons into visual circuits. Nature Communications. 16(1). 9633–9633.
2.
Moberly, Andrew H., et al.. (2024). Learning integral operators via neural integral equations. Nature Machine Intelligence. 6(9). 1046–1062. 7 indexed citations
3.
Meyer, J., Timothy H. Murphy, Shane A. Heiney, et al.. (2024). Traumatic brain injury disrupts state-dependent functional cortical connectivity in a mouse model. Cerebral Cortex. 34(2). 4 indexed citations
4.
Higley, Michael J., et al.. (2024). Retrosplenial inputs drive visual representations in the medial entorhinal cortex. Cell Reports. 43(7). 114470–114470. 1 indexed citations
5.
Moberly, Andrew H., et al.. (2023). Neural Integro-Differential Equations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11104–11112. 1 indexed citations
6.
Higley, Michael J. & Jessica A. Cardin. (2022). Spatiotemporal dynamics in large-scale cortical networks. Current Opinion in Neurobiology. 77. 102627–102627. 5 indexed citations
7.
Cardin, Jessica A., Michael C. Crair, & Michael J. Higley. (2020). Mesoscopic Imaging: Shining a Wide Light on Large-Scale Neural Dynamics. Neuron. 108(1). 33–43. 67 indexed citations
8.
Barson, Daniel, Xilin Shen, György Lür, et al.. (2019). Simultaneous mesoscopic and two-photon imaging of neuronal activity in cortical circuits. Nature Methods. 17(1). 107–113. 88 indexed citations
9.
Batista‐Brito, Renata, Martin Vinck, Katie Ferguson, et al.. (2017). Developmental Dysfunction of VIP Interneurons Impairs Cortical Circuits. Neuron. 95(4). 884–895.e9. 93 indexed citations
10.
Kannan, Madhuvanthi, Garrett G. Gross, Don B. Arnold, & Michael J. Higley. (2016). Visual Deprivation During the Critical Period Enhances Layer 2/3 GABAergic Inhibition in Mouse V1. Journal of Neuroscience. 36(22). 5914–5919. 30 indexed citations
11.
Lür, György, Martin Vinck, Lan Tang, Jessica A. Cardin, & Michael J. Higley. (2016). Projection-Specific Visual Feature Encoding by Layer 5 Cortical Subnetworks. Cell Reports. 14(11). 2538–2545. 52 indexed citations
12.
Gamo, Nao J., György Lür, Michael J. Higley, et al.. (2015). Stress Impairs Prefrontal Cortical Function via D1 Dopamine Receptor Interactions With Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels. Biological Psychiatry. 78(12). 860–870. 76 indexed citations
13.
Lür, György & Michael J. Higley. (2015). Glutamate Receptor Modulation Is Restricted to Synaptic Microdomains. Cell Reports. 12(2). 326–334. 29 indexed citations
14.
Higley, Michael J. & Bernardo L. Sabatini. (2012). Calcium Signaling in Dendritic Spines. Cold Spring Harbor Perspectives in Biology. 4(4). a005686–a005686. 128 indexed citations
15.
Bessaïh, Thomas, et al.. (2012). Quantitative trait locus on distal chromosome 1 regulates the occurrence of spontaneous spike‐wave discharges in DBA/2 mice. Epilepsia. 53(8). 1429–1435. 5 indexed citations
16.
Higley, Michael J., Aryn H. Gittis, Ian Antón Oldenburg, et al.. (2011). Cholinergic Interneurons Mediate Fast VGluT3-Dependent Glutamatergic Transmission in the Striatum. PLoS ONE. 6(4). e19155–e19155. 140 indexed citations
17.
18.
Higley, Michael J. & Bernardo L. Sabatini. (2008). Calcium Signaling in Dendrites and Spines: Practical and Functional Considerations. Neuron. 59(6). 902–913. 166 indexed citations
19.
Higley, Michael J. & Diego Contreras. (2006). Balanced Excitation and Inhibition Determine Spike Timing during Frequency Adaptation. Journal of Neuroscience. 26(2). 448–457. 218 indexed citations
20.
Higley, Michael J. & Diego Contreras. (2006). Cellular Mechanisms of Suppressive Interactions Between Somatosensory Responses In Vivo. Journal of Neurophysiology. 97(1). 647–658. 35 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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