Daniel Toker

1.1k total citations
16 papers, 528 citations indexed

About

Daniel Toker is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Daniel Toker has authored 16 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 4 papers in Economics and Econometrics and 3 papers in Molecular Biology. Recurrent topics in Daniel Toker's work include Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (8 papers) and Complex Systems and Time Series Analysis (4 papers). Daniel Toker is often cited by papers focused on Neural dynamics and brain function (9 papers), Functional Brain Connectivity Studies (8 papers) and Complex Systems and Time Series Analysis (4 papers). Daniel Toker collaborates with scholars based in United States, United Kingdom and Canada. Daniel Toker's co-authors include Friedrich T. Sommer, Mark D’Esposito, Martin M. Monti, Joel Frohlich, Janice Chen, Kenneth A. Norman, Jordan Poppenk, Uri Hasson, Christopher J. Honey and Paige Jarreau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain.

In The Last Decade

Daniel Toker

15 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Toker United States	10	275	58	56	46	40	16	528
Diego M. Mateos Argentina	13	294 1.1×	61 1.1×	58 1.0×	16 0.3×	12 0.3×	38	452
Masafumi Oizumi Japan	12	776 2.8×	110 1.9×	136 2.4×	16 0.3×	59 1.5×	42	1.1k
Stuart Oldham Australia	14	682 2.5×	102 1.8×	91 1.6×	24 0.5×	41 1.0×	25	1.1k
Satohiro Tajima Japan	10	339 1.2×	38 0.7×	17 0.3×	29 0.6×	27 0.7×	20	664
Dirk Goldhahn Germany	6	557 2.0×	32 0.6×	39 0.7×	14 0.3×	28 0.7×	18	930
Thomas F. Varley United States	15	371 1.3×	73 1.3×	127 2.3×	17 0.4×	10 0.3×	29	605
Laurence Aitchison United Kingdom	12	490 1.8×	110 1.9×	51 0.9×	5 0.1×	65 1.6×	23	715
Shakoor Pooseh Germany	14	146 0.5×	79 1.4×	33 0.6×	33 0.7×	13 0.3×	31	589
Zhaowen Liu China	15	527 1.9×	41 0.7×	12 0.2×	24 0.5×	34 0.8×	37	882
Armando Freitas da Rocha Brazil	13	209 0.8×	36 0.6×	30 0.5×	10 0.2×	36 0.9×	35	387

Countries citing papers authored by Daniel Toker

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Toker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Toker

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

All Works

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16 of 16 papers shown

Toker, Daniel, Jeffrey N. Chiang, Paul Vespa, Caroline Schnakers, & Martin M. Monti. (2025). The Dipeptidyl Peptidase-4 Inhibitor Saxagliptin as a Candidate Treatment for Disorders of Consciousness: A Deep Learning and Retrospective Clinical Analysis. Neurocritical Care. 43(1). 101–118. 2 indexed citations

McCrimmon, Colin M., Daniel Toker, Qing Cao, et al.. (2025). Cortical versus hippocampal network dysfunction in a human brain assembloid model of epilepsy and intellectual disability. Cell Reports. 44(9). 116217–116217. 1 indexed citations

Malekmohammadi, Mahsa, Daniel Toker, Jeong Woo Choi, et al.. (2024). Globus pallidus externus drives increase in network-wide alpha power with propofol-induced loss-of-consciousness in humans. Cerebral Cortex. 34(6).

Toker, Daniel, Eli J. Müller, Hiroyuki Miyamoto, et al.. (2023). Criticality supports cross-frequency cortical-thalamic information transfer during conscious states. eLife. 13. 10 indexed citations

Frohlich, Joel, Jeffrey N. Chiang, Pedro A. M. Mediano, et al.. (2022). Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics. Communications Biology. 5(1). 1374–1374. 14 indexed citations

Toker, Daniel, Ioannis Pappas, Janna D. Lendner, et al.. (2022). Consciousness is supported by near-critical slow cortical electrodynamics. Proceedings of the National Academy of Sciences. 119(7). 73 indexed citations

Luppi, Andrea I., Joshua Cain, Lennart R. B. Spindler, et al.. (2021). Mechanisms Underlying Disorders of Consciousness: Bridging Gaps to Move Toward an Integrated Translational Science. Neurocritical Care. 35(S1). 37–54. 35 indexed citations

Frohlich, Joel, Daniel Toker, & Martin M. Monti. (2021). Consciousness among delta waves: a paradox?. Brain. 144(8). 2257–2277. 98 indexed citations

Toker, Daniel, Friedrich T. Sommer, & Mark D’Esposito. (2020). A simple method for detecting chaos in nature. Communications Biology. 3(1). 11–11. 114 indexed citations

10.

Malekmohammadi, Mahsa, et al.. (2020). Pallidocortical Connectivity Changes with Anesthetic Loss of Consciousness in Parkinson's Disease Patients. Neurosurgery. 67(Supplement_1). 1 indexed citations

11.

Toker, Daniel, Friedrich T. Sommer, & Mark D’Esposito. (2019). The Chaos Decision Tree Algorithm: A Fully Automated Tool for the Experimental Study of Chaotic Dynamics. arXiv (Cornell University). 2 indexed citations

12.

Jarreau, Paige, et al.. (2019). Using selfies to challenge public stereotypes of scientists. PLoS ONE. 14(5). e0216625–e0216625. 52 indexed citations

13.

Toker, Daniel & Friedrich T. Sommer. (2019). Information integration in large brain networks. PLoS Computational Biology. 15(2). e1006807–e1006807. 38 indexed citations

14.

Toker, Daniel & Friedrich T. Sommer. (2017). Great Than The Sum: Integrated Information In Large Brain Networks. arXiv (Cornell University). 2 indexed citations

15.

Lositsky, Olga, Janice Chen, Daniel Toker, et al.. (2016). Neural pattern change during encoding of a narrative predicts retrospective duration estimates. eLife. 5. 71 indexed citations

16.

Bishop, Sonia J., Geoffrey K. Aguirre, Anwar O. Núñez-Elizalde, & Daniel Toker. (2015). Seeing the world through non rose-colored glasses: anxiety and the amygdala response to blended expressions. Frontiers in Human Neuroscience. 9. 152–152. 15 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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