Michael W. Cole

16.7k total citations · 8 hit papers
90 papers, 10.8k citations indexed

About

Michael W. Cole is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael W. Cole has authored 90 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Cognitive Neuroscience, 18 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael W. Cole's work include Functional Brain Connectivity Studies (66 papers), Neural dynamics and brain function (50 papers) and Neural and Behavioral Psychology Studies (28 papers). Michael W. Cole is often cited by papers focused on Functional Brain Connectivity Studies (66 papers), Neural dynamics and brain function (50 papers) and Neural and Behavioral Psychology Studies (28 papers). Michael W. Cole collaborates with scholars based in United States, Slovenia and Netherlands. Michael W. Cole's co-authors include Alan Anticevic, Todd S. Braver, Grega Repovš, Walter Schneider, Jonathan D. Power, Danielle S. Bassett, Takuya Ito, John H. Krystal, Douglas H. Schultz and John D. Murray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Michael W. Cole

85 papers receiving 10.7k citations

Hit Papers

Multi-task connectivity reveals flexible hubs for adaptiv... 2007 2026 2013 2019 2013 2014 2007 2012 2013 250 500 750 1000
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. Multi-task connectivity reveals flexible hubs for adaptive task control
    2013 1.2k citations Michael W. Cole, Grega Repovš et al. Nature Neuroscience profile →
  2. Intrinsic and Task-Evoked Network Architectures of the Human Brain
    2014 1.1k citations Michael W. Cole, Danielle S. Bassett et al. profile →
  3. The cognitive control network: Integrated cortical regions with dissociable functions
    2007 799 citations Michael W. Cole et al. NeuroImage profile →
  4. The role of default network deactivation in cognition and disease
    2012 745 citations Alan Anticevic, Michael W. Cole et al. profile →
  5. Characterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness
    2013 385 citations Alan Anticevic, Michael W. Cole et al. Cerebral Cortex profile →
  6. Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks
    2018 383 citations Matthew L. Dixon, Alejandro de la Vega et al. Proceedings of the National Academy of Sciences profile →
  7. Mapping the human brain's cortical-subcortical functional network organization
    2018 338 citations Jie Lisa Ji, Marjolein Spronk et al. NeuroImage profile →
  8. Activity flow over resting-state networks shapes cognitive task activations
    2016 322 citations Michael W. Cole, Takuya Ito et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael W. Cole United States 46 9.6k 2.3k 2.3k 1.1k 623 90 10.8k
Dustin Scheinost United States 53 9.0k 0.9× 3.0k 1.3× 2.5k 1.1× 1.3k 1.2× 717 1.2× 209 12.0k
Joshua L. Roffman United States 32 6.5k 0.7× 2.4k 1.0× 1.5k 0.6× 1.4k 1.3× 532 0.9× 81 9.0k
Alfonso Nieto-Castañón United States 32 7.7k 0.8× 2.0k 0.9× 2.0k 0.9× 1.4k 1.2× 548 0.9× 61 9.5k
Alexander L. Cohen United States 26 12.3k 1.3× 3.8k 1.7× 2.6k 1.1× 1.6k 1.4× 555 0.9× 50 14.1k
Avram J. Holmes United States 50 7.0k 0.7× 2.1k 0.9× 2.7k 1.2× 1.3k 1.1× 863 1.4× 108 9.9k
Timothy O. Laumann United States 29 12.4k 1.3× 4.9k 2.1× 2.4k 1.1× 1.1k 1.0× 540 0.9× 46 13.8k
Krzysztof J. Gorgolewski United States 32 6.5k 0.7× 2.2k 1.0× 1.4k 0.6× 758 0.7× 346 0.6× 65 8.4k
Zarrar Shehzad United States 24 6.2k 0.6× 2.0k 0.9× 1.5k 0.7× 1.5k 1.3× 386 0.6× 31 7.9k
Grega Repovš Slovenia 41 6.1k 0.6× 1.7k 0.7× 1.8k 0.8× 1.4k 1.2× 831 1.3× 97 7.8k
Jessica A. Church United States 28 8.2k 0.9× 2.7k 1.2× 1.9k 0.8× 1.2k 1.0× 343 0.6× 68 10.0k

Countries citing papers authored by Michael W. Cole

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Cole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Cole

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Cole. A scholar is included among the top collaborators of Michael W. Cole 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 W. Cole. Michael W. Cole 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.
Mill, Ravi D. & Michael W. Cole. (2025). Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning. Nature Communications. 16(1). 10084–10084.
2.
Sánchez-Romero, Rubén, et al.. (2025). Regularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confounding. Imaging Neuroscience. 3. 1 indexed citations
3.
Podvalny, Ella, Rubén Sánchez-Romero, & Michael W. Cole. (2024). Functionality of arousal-regulating brain circuitry at rest predicts human cognitive abilities. Cerebral Cortex. 34(5).
4.
Mill, Ravi D., et al.. (2024). Acute psychosocial stress modulates neural and behavioral substrates of cognitive control. Human Brain Mapping. 45(8). e26716–e26716. 3 indexed citations
5.
6.
Keane, Brian P., Bart Krekelberg, Ravi D. Mill, et al.. (2022). Dorsal attention network activity during perceptual organization is distinct in schizophrenia and predictive of cognitive disorganization. European Journal of Neuroscience. 57(3). 458–478. 8 indexed citations
7.
Hwang, Kai, et al.. (2022). Thalamocortical contributions to cognitive task activity. eLife. 11. 22 indexed citations
8.
Keane, Brian P., Deanna M. Barch, Ravi D. Mill, et al.. (2021). Brain network mechanisms of visual shape completion. NeuroImage. 236. 118069–118069. 14 indexed citations
9.
Cole, Michael W., Takuya Ito, Carrisa V. Cocuzza, & Rubén Sánchez-Romero. (2021). The Functional Relevance of Task-State Functional Connectivity. Journal of Neuroscience. 41(12). 2684–2702. 83 indexed citations
10.
Hearne, Luke J., Ravi D. Mill, Brian P. Keane, et al.. (2021). Activity flow underlying abnormalities in brain activations and cognition in schizophrenia. Science Advances. 7(29). 22 indexed citations
11.
Ito, Takuya, Scott L. Brincat, Markus Siegel, et al.. (2020). Task-evoked activity quenches neural correlations and variability across cortical areas. PLoS Computational Biology. 16(8). e1007983–e1007983. 64 indexed citations
12.
Cocuzza, Carrisa V., Takuya Ito, Douglas H. Schultz, Danielle S. Bassett, & Michael W. Cole. (2020). Flexible Coordinator and Switcher Hubs for Adaptive Task Control. Journal of Neuroscience. 40(36). 6949–6968. 56 indexed citations
13.
Mill, Ravi D., Brian A. Gordon, David A. Balota, & Michael W. Cole. (2020). Predicting dysfunctional age-related task activations from resting-state network alterations. NeuroImage. 221. 117167–117167. 25 indexed citations
14.
Spronk, Marjolein, Brian P. Keane, Takuya Ito, et al.. (2020). A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction. Cerebral Cortex. 31(1). 547–561. 23 indexed citations
15.
Kar, Kohitij, Takuya Ito, Michael W. Cole, & Bart Krekelberg. (2019). Transcranial alternating current stimulation attenuates BOLD adaptation and increases functional connectivity. Journal of Neurophysiology. 123(1). 428–438. 25 indexed citations
16.
Reid, Andrew, Drew B. Headley, Ravi D. Mill, et al.. (2019). Advancing functional connectivity research from association to causation. Nature Neuroscience. 22(11). 1751–1760. 194 indexed citations
17.
Dixon, Matthew L., Alejandro de la Vega, Caitlin Mills, et al.. (2018). Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks. Proceedings of the National Academy of Sciences. 115(7). E1598–E1607. 383 indexed citations breakdown →
18.
Cole, Michael W., Lauren M. Patrick, Nachshon Meiran, & Todd S. Braver. (2017). A role for proactive control in rapid instructed task learning. Acta Psychologica. 184. 20–30. 12 indexed citations
19.
Ito, Takuya, Kaustubh Kulkarni, Douglas H. Schultz, et al.. (2017). Cognitive task information is transferred between brain regions via resting-state network topology. Nature Communications. 8(1). 1027–1027. 121 indexed citations
20.
Schultz, Douglas H. & Michael W. Cole. (2016). Higher Intelligence Is Associated with Less Task-Related Brain Network Reconfiguration. Journal of Neuroscience. 36(33). 8551–8561. 176 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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