Danielle S. Bassett

50.4k total citations · 19 hit papers
303 papers, 29.0k citations indexed

About

Danielle S. Bassett is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danielle S. Bassett has authored 303 papers receiving a total of 29.0k indexed citations (citations by other indexed papers that have themselves been cited), including 229 papers in Cognitive Neuroscience, 70 papers in Experimental and Cognitive Psychology and 60 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danielle S. Bassett's work include Functional Brain Connectivity Studies (197 papers), Neural dynamics and brain function (147 papers) and Mental Health Research Topics (61 papers). Danielle S. Bassett is often cited by papers focused on Functional Brain Connectivity Studies (197 papers), Neural dynamics and brain function (147 papers) and Mental Health Research Topics (61 papers). Danielle S. Bassett collaborates with scholars based in United States, United Kingdom and Germany. Danielle S. Bassett's co-authors include Edward T. Bullmore, Olaf Sporns, Scott T. Grafton, Andreas Meyer‐Lindenberg, Nicholas F. Wymbs, Theodore D. Satterthwaite, Jean M. Carlson, Michael W. Cole, Daniel R. Weinberger and Mason A. Porter and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Danielle S. Bassett

289 papers receiving 28.6k citations

Hit Papers

Small-World Brain Networks 2006 2026 2012 2019 2006 2017 2011 2014 2010 500 1000 1.5k
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. Small-World Brain Networks
    2006 1.8k citations Danielle S. Bassett et al. profile →
  2. Network neuroscience
    2017 1.4k citations Danielle S. Bassett, Olaf Sporns Nature Neuroscience profile →
  3. Dynamic reconfiguration of human brain networks during learning
    2011 1.2k citations Danielle S. Bassett, Nicholas F. Wymbs et al. Proceedings of the National Academy of Sciences profile →
  4. Intrinsic and Task-Evoked Network Architectures of the Human Brain
    2014 1.1k citations Danielle S. Bassett et al. profile →
  5. Functional Connectivity and Brain Networks in Schizophrenia
    2010 1.1k citations Danielle S. Bassett et al. profile →
  6. Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia
    2008 965 citations Danielle S. Bassett et al. profile →
  7. Brain Graphs: Graphical Models of the Human Brain Connectome
    2011 849 citations Danielle S. Bassett et al. profile →
  8. Human brain networks in health and disease
    2009 675 citations Danielle S. Bassett et al. profile →
  9. Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
    2017 654 citations Rastko Ćirić, Daniel H. Wolf et al. NeuroImage profile →
  10. Adaptive reconfiguration of fractal small-world human brain functional networks
    2006 607 citations Danielle S. Bassett et al. Proceedings of the National Academy of Sciences profile →
  11. Dynamic reconfiguration of frontal brain networks during executive cognition in humans
    2015 557 citations Danielle S. Bassett et al. Proceedings of the National Academy of Sciences profile →
  12. Small-World Brain Networks Revisited
    2016 544 citations Danielle S. Bassett et al. profile →
  13. Controllability of structural brain networks
    2015 536 citations Matthew Cieslak, Ari E. Kahn et al. Nature Communications profile →
  14. Learning-induced autonomy of sensorimotor systems
    2015 409 citations Danielle S. Bassett, Nicholas F. Wymbs et al. Nature Neuroscience profile →
  15. Structural foundations of resting-state and task-based functional connectivity in the human brain
    2013 406 citations Ann M. Hermundstad, Danielle S. Bassett et al. Proceedings of the National Academy of Sciences profile →
  16. Activity flow over resting-state networks shapes cognitive task activations
    2016 322 citations Danielle S. Bassett et al. Nature Neuroscience profile →
  17. Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology
    2021 313 citations Bart Larsen, Danielle S. Bassett et al. profile →
  18. Development of structure–function coupling in human brain networks during youth
    2019 285 citations Graham L. Baum, Zaixu Cui et al. Proceedings of the National Academy of Sciences profile →
  19. Environmental influences on the pace of brain development
    2021 278 citations Danielle S. Bassett et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle S. Bassett United States 81 22.7k 7.2k 5.3k 2.3k 2.1k 303 29.0k
Michael Breakspear Australia 73 16.3k 0.7× 4.4k 0.6× 3.2k 0.6× 1.9k 0.8× 2.1k 1.0× 258 20.7k
Cornelis J. Stam Netherlands 97 32.7k 1.4× 7.8k 1.1× 4.0k 0.8× 4.7k 2.0× 3.6k 1.7× 443 38.9k
Martijn P. van den Heuvel Netherlands 71 17.2k 0.8× 9.1k 1.3× 2.8k 0.5× 2.1k 0.9× 1.8k 0.9× 219 22.6k
Gustavo Deco Spain 78 20.0k 0.9× 4.2k 0.6× 2.4k 0.5× 780 0.3× 3.5k 1.6× 529 24.0k
Anthony R. McIntosh Canada 93 25.0k 1.1× 5.0k 0.7× 3.7k 0.7× 2.9k 1.3× 2.6k 1.2× 338 29.9k
Yong He China 95 31.5k 1.4× 15.9k 2.2× 5.8k 1.1× 5.9k 2.5× 2.8k 1.3× 385 40.0k
Klaas Ε. Stephan United Kingdom 87 23.8k 1.0× 4.7k 0.6× 5.4k 1.0× 3.7k 1.6× 2.4k 1.1× 246 30.6k
Bradley L. Schlaggar United States 65 31.0k 1.4× 10.2k 1.4× 6.2k 1.2× 4.2k 1.8× 2.3k 1.1× 172 37.1k
Nikos K. Logothetis Germany 103 35.3k 1.6× 7.4k 1.0× 5.3k 1.0× 1.1k 0.5× 9.0k 4.2× 421 44.0k
John Suckling United Kingdom 82 15.7k 0.7× 7.1k 1.0× 3.5k 0.7× 6.1k 2.6× 2.0k 0.9× 352 26.1k

Countries citing papers authored by Danielle S. Bassett

Since Specialization
Citations

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

Fields of papers citing papers by Danielle S. Bassett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle S. Bassett. 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 Danielle S. Bassett. The network helps show where Danielle S. Bassett may publish in the future.

Co-authorship network of co-authors of Danielle S. Bassett

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle S. Bassett. A scholar is included among the top collaborators of Danielle S. Bassett 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 Danielle S. Bassett. Danielle S. Bassett 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.
Kahn, Ari E., et al.. (2025). Network structure influences the strength of learned neural representations. Nature Communications. 16(1). 994–994.
2.
Mehta, Kahini, Adam Pines, Azeez Adebimpe, et al.. (2023). Individual differences in delay discounting are associated with dorsal prefrontal cortex connectivity in children, adolescents, and adults. Developmental Cognitive Neuroscience. 62. 101265–101265. 5 indexed citations
3.
Bassett, Danielle S., et al.. (2022). A multilayer network model of neuron-astrocyte populations in vitro reveals mGluR5 inhibition is protective following traumatic injury. Network Neuroscience. 6(2). 499–527. 3 indexed citations
4.
Bernabei, John M., Thomas Arnold, Preya Shah, et al.. (2021). Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models. Brain Communications. 3(3). fcab156–fcab156. 25 indexed citations
5.
Driscoll, Nicolette, Richard Rosch, Brendan B. Murphy, et al.. (2021). Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale. Communications Biology. 4(1). 136–136. 23 indexed citations
6.
Li, Qiongling, Shahin Tavakol, Jessica Royer, et al.. (2021). Atypical neural topographies underpin dysfunctional pattern separation in temporal lobe epilepsy. Brain. 144(8). 2486–2498. 20 indexed citations
7.
Wright, Sukhvir, Richard Rosch, Manoj A. Upadhya, et al.. (2021). Multimodal electrophysiological analyses reveal that reduced synaptic excitatory neurotransmission underlies seizures in a model of NMDAR antibody-mediated encephalitis. Communications Biology. 4(1). 1106–1106. 29 indexed citations
8.
Caciagli, Lorenzo, Luke A. Allen, Xiaosong He, et al.. (2020). Thalamus and focal to bilateral seizures. Neurology. 95(17). e2427–e2441. 56 indexed citations
9.
Garcia, Javier O., Arian Ashourvan, Steven M. Thurman, et al.. (2020). Reconfigurations within resonating communities of brain regions following TMS reveal different scales of processing. Network Neuroscience. 4(3). 611–636. 5 indexed citations
10.
Finc, Karolina, Kamil Bonna, Xiaosong He, et al.. (2020). Dynamic reconfiguration of functional brain networks during working memory training. Nature Communications. 11(1). 2435–2435. 148 indexed citations
11.
Tompson, Steven, Emily B. Falk, Matthew Brook O’Donnell, et al.. (2020). Response Inhibition in Adolescents is Moderated by Brain Connectivity and Social Network Structure. Social Cognitive and Affective Neuroscience. 15(8). 827–837. 10 indexed citations
12.
Lydon‐Staley, David M., Christine Kuehner, Vera Zamoscik, et al.. (2019). Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks. Translational Psychiatry. 9(1). 234–234. 75 indexed citations
13.
Baum, Graham L., Zaixu Cui, David R. Roalf, et al.. (2019). Development of structure–function coupling in human brain networks during youth. Proceedings of the National Academy of Sciences. 117(1). 771–778. 285 indexed citations breakdown →
14.
He, Xiaosong, Ganne Chaitanya, Lorenzo Caciagli, et al.. (2019). Disrupted basal ganglia–thalamocortical loops in focal to bilateral tonic-clonic seizures. Brain. 143(1). 175–190. 90 indexed citations
15.
Huang, Harvey, et al.. (2019). A subset of topologically associating domains fold into mesoscale core-periphery networks. Scientific Reports. 9(1). 9526–9526. 10 indexed citations
16.
Betzel, Richard F., et al.. (2019). Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography. Nature Biomedical Engineering. 3(11). 902–916. 76 indexed citations
17.
Bassett, Danielle S. & Olaf Sporns. (2017). Network neuroscience. Nature Neuroscience. 20(3). 353–364. 1410 indexed citations breakdown →
18.
Khambhati, Ankit N., Marcelo G. Mattar, Nicholas F. Wymbs, Scott T. Grafton, & Danielle S. Bassett. (2017). Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. NeuroImage. 166. 385–399. 37 indexed citations
19.
Giusti, Chad, Robert Ghrist, & Danielle S. Bassett. (2016). Two’s company, three (or more) is a simplex. Journal of Computational Neuroscience. 41(1). 1–14. 249 indexed citations
20.
Hermundstad, Ann M., Kevin Brown, Danielle S. Bassett, & Jean M. Carlson. (2011). Learning, Memory, and the Role of Neural Network Architecture. PLoS Computational Biology. 7(6). e1002063–e1002063. 31 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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