Michael N. Economo

5.6k total citations
28 papers, 1.6k citations indexed

About

Michael N. Economo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Michael N. Economo has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 6 papers in Biophysics. Recurrent topics in Michael N. Economo's work include Neural dynamics and brain function (15 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroscience and Neural Engineering (6 papers). Michael N. Economo is often cited by papers focused on Neural dynamics and brain function (15 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroscience and Neural Engineering (6 papers). Michael N. Economo collaborates with scholars based in United States, Russia and Japan. Michael N. Economo's co-authors include Jayaram Chandrashekar, Karel Svoboda, Charles R. Gerfen, John A. White, Nuo Li, Matt Wachowiak, Nathan Clack, Luke D. Lavis, Eugene W. Myers and Chris I. De Zeeuw and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Michael N. Economo

27 papers receiving 1.5k 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 N. Economo United States 18 750 727 338 299 252 28 1.6k
Jérôme Lecoq United States 17 681 0.9× 664 0.9× 266 0.8× 197 0.7× 137 0.5× 26 1.5k
Tycho M. Hoogland Netherlands 18 819 1.1× 486 0.7× 212 0.6× 376 1.3× 452 1.8× 29 1.4k
Kannan Umadevi Venkataraju United States 9 680 0.9× 609 0.8× 570 1.7× 556 1.9× 203 0.8× 14 1.8k
Julián Taranda United States 16 371 0.5× 374 0.5× 301 0.9× 578 1.9× 133 0.5× 22 1.5k
Clay Lacefield United States 17 1.0k 1.3× 877 1.2× 467 1.4× 436 1.5× 127 0.5× 29 2.0k
Nathalie L. Rochefort Germany 24 1.6k 2.2× 1.5k 2.0× 209 0.6× 510 1.7× 220 0.9× 33 2.4k
Prakash Kara United States 14 1.4k 1.8× 1.5k 2.0× 293 0.9× 449 1.5× 145 0.6× 27 2.3k
Björn M. Kampa Germany 18 1.8k 2.4× 1.4k 2.0× 357 1.1× 511 1.7× 153 0.6× 33 2.4k
Timothy A. Machado United States 10 1.1k 1.5× 1.1k 1.6× 310 0.9× 428 1.4× 76 0.3× 13 1.9k
Brian Zingg United States 17 1.4k 1.8× 1.6k 2.2× 170 0.5× 769 2.6× 290 1.2× 18 2.8k

Countries citing papers authored by Michael N. Economo

Since Specialization
Citations

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

Fields of papers citing papers by Michael N. Economo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael N. Economo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael N. Economo. A scholar is included among the top collaborators of Michael N. Economo 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 N. Economo. Michael N. Economo 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.
Economo, Michael N., Takaki Komiyama, Yoshiyuki Kubota, & Jackie Schiller. (2024). Learning and Control in Motor Cortex across Cell Types and Scales. Journal of Neuroscience. 44(40). e1233242024–e1233242024. 1 indexed citations
2.
Economo, Michael N., et al.. (2024). Assessing Cross-Contamination in Spike-Sorted Electrophysiology Data. eNeuro. 11(8). ENEURO.0554–23.2024. 1 indexed citations
3.
Weber, Timothy D., et al.. (2023). High-speed multiplane confocal microscopy for voltage imaging in densely labeled neuronal populations. Nature Neuroscience. 26(9). 1642–1650. 18 indexed citations
4.
Kleinfeld, David, Martin Deschênes, Michael N. Economo, et al.. (2023). Low- and high-level coordination of orofacial motor actions. Current Opinion in Neurobiology. 83. 102784–102784. 6 indexed citations
5.
Liu, Liu D., Susu Chen, Han Hou, et al.. (2021). Accurate Localization of Linear Probe Electrode Arrays across Multiple Brains. eNeuro. 8(6). ENEURO.0241–21.2021. 19 indexed citations
6.
Finkelstein, Arseny, Lorenzo Fontolan, Michael N. Economo, et al.. (2021). Attractor dynamics gate cortical information flow during decision-making. Nature Neuroscience. 24(6). 843–850. 65 indexed citations
7.
Finkelstein, Arseny, Lorenzo Fontolan, Michael N. Economo, et al.. (2021). Publisher Correction: Attractor dynamics gate cortical information flow during decision-making. Nature Neuroscience. 24(6). 897–897. 2 indexed citations
8.
Ueda, Hiroki R., Hans‐Ulrich Dodt, Pavel Osten, et al.. (2020). Whole-Brain Profiling of Cells and Circuits in Mammals by Tissue Clearing and Light-Sheet Microscopy. Neuron. 106(3). 369–387. 136 indexed citations
9.
Gao, Zhenyu, Alyse M. Thomas, Michael N. Economo, et al.. (2018). A cortico-cerebellar loop for motor planning. Nature. 563(7729). 113–116. 254 indexed citations
10.
Economo, Michael N., Sarada Viswanathan, Bosiljka Tasic, et al.. (2018). Distinct descending motor cortex pathways and their roles in movement. Nature. 563(7729). 79–84. 217 indexed citations
11.
Economo, Michael N., Kyle Hansen, & Matt Wachowiak. (2016). Control of Mitral/Tufted Cell Output by Selective Inhibition among Olfactory Bulb Glomeruli. Neuron. 91(2). 397–411. 58 indexed citations
12.
Gerfen, Charles R., Michael N. Economo, & Jayaram Chandrashekar. (2016). Long distance projections of cortical pyramidal neurons. Journal of Neuroscience Research. 96(9). 1467–1475. 67 indexed citations
13.
Economo, Michael N., Nathan Clack, Luke D. Lavis, et al.. (2016). A platform for brain-wide imaging and reconstruction of individual neurons. eLife. 5. e10566–e10566. 265 indexed citations
14.
Gee, James M, Nathan Smith, Fernando R. Fernandez, et al.. (2014). Imaging Activity in Neurons and Glia with a Polr2a-Based and Cre-Dependent GCaMP5G-IRES-tdTomato Reporter Mouse. Neuron. 83(5). 1058–1072. 101 indexed citations
15.
Economo, Michael N., et al.. (2014). Nonlinear properties of medial entorhinal cortex neurons reveal frequency selectivity during multi-sinusoidal stimulation. Frontiers in Cellular Neuroscience. 8. 239–239.
16.
Wachowiak, Matt, Michael N. Economo, Daniela Brunert, et al.. (2013). Optical Dissection of Odor Information ProcessingIn VivoUsing GCaMPs Expressed in Specified Cell Types of the Olfactory Bulb. Journal of Neuroscience. 33(12). 5285–5300. 97 indexed citations
17.
Economo, Michael N. & John A. White. (2012). Membrane Properties and the Balance between Excitation and Inhibition Control Gamma-Frequency Oscillations Arising from Feedback Inhibition. PLoS Computational Biology. 8(1). e1002354–e1002354. 43 indexed citations
18.
Kispersky, Tilman, Michael N. Economo, Pratik S. Randeria, & John A. White. (2011). GenNet: A Platform for Hybrid Network Experiments. Frontiers in Neuroinformatics. 5. 11–11. 11 indexed citations
19.
Economo, Michael N., Fernando R. Fernandez, & John A. White. (2010). Dynamic Clamp: Alteration of Response Properties and Creation of Virtual Realities in Neurophysiology. Journal of Neuroscience. 30(7). 2407–2413. 22 indexed citations
20.
Economo, Michael N., et al.. (2008). Development of Theta Rhythmicity in Entorhinal Stellate Cells of the Juvenile Rat. Journal of Neurophysiology. 100(6). 3144–3157. 26 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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