Daniel S. Margulies

Active 1997–2025

Also published as
Daniel S Margulies
167
Papers
36,114
Citations
87
h-index
157
i10-index

Citations

Citations per year for Daniel S. Margulies1974: 1 citations1975: 1 citations1979: 2 citations1981: 3 citations1982: 1 citations1988: 2 citations1998: 1 citations1999: 1 citations2000: 2 citations2001: 2 citations2002: 2 citations2004: 1 citations2005: 3 citations2006: 6 citations2007: 4 citations2008: 45 citations2009: 122 citations2010: 253 citations2011: 383 citations2012: 446 citations2013: 557 citations2014: 491 citations2015: 489 citations2016: 528 citations2017: 561 citations2018: 508 citations2019: 1,282 citations2020: 1,639 citations2021: 1,623 citations2022: 1,465 citations2023: 1,091 citations2024: 1,730 citations2025: 815 citations2026: 103 citations1976–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1983–1987: no citations, so these years are not shown1989–1997: no citations, so these years are not shown2003: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,498 citing papers, 26.9% of this breakdownChina: 1,701 citing papers, 10.2% of this breakdownUnited Kingdom: 1,459 citing papers, 8.7% of this breakdownGermany: 1,379 citing papers, 8.3% of this breakdownCanada: 1,141 citing papers, 6.8% of this breakdownFrance: 708 citing papers, 4.2% of this breakdownNetherlands: 669 citing papers, 4% of this breakdownItaly: 593 citing papers, 3.5% of this breakdownAustralia: 526 citing papers, 3.1% of this breakdownSwitzerland: 377 citing papers, 2.3% of this breakdownSpain: 343 citing papers, 2.1% of this breakdownJapan: 248 citing papers, 1.5% of this breakdown
0%26.9%Other 18.4%

Fields

  • Neuroscience68%
  • Medicine16.2%
  • Psychology7.8%
  • Computer Science2.1%
  • Biochemistry, Genetics and Molecular Biology2%
  • Engineering0.8%
  • Other3.1%

Topics

  • Functional Brain Connectivity Studies21.4%
  • Neural dynamics and brain function9.6%
  • Advanced Neuroimaging Techniques and Applications6.9%
  • Advanced MRI Techniques and Applications4.4%
  • EEG and Brain-Computer Interfaces4%
  • Neural and Behavioral Psychology Studies3.9%
  • Other49.8%

Coauthors

All papers

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  1. Situating the default-mode network along a principal gradient of macroscale cortical organization

    Authors: , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 2,634

  2. The default mode network in cognition: a topographical perspective

    Authors: , , , , , - Nature reviews. Neuroscience 2021 cited by 965

  3. Large-Scale Gradients in Human Cortical Organization

    Authors: , , - Trends in Cognitive Sciences 2017 cited by 1,096

  4. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets

    Authors: , , , , , , , , , , , , , , - Communications Biology 2020 cited by 681

  5. Toward discovery science of human brain function

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , James J. Pekar, Scott Peltier, Steven E. Petersen, Valentin Riedl, Serge A.R.B. Rombouts, Bart Rypma, Bradley L. Schlaggar, Sein Schmidt, Rachael D. Seidler, Greg J. Siegle, Christian Sorg, Gao‐Jun Teng, Juha Veijola, Arno Villringer, Martin Walter, Lihong Wang, Xu-Chu Weng, Susan Whitfield‐Gabrieli, Peter Williamson, Christian Windischberger, Yu‐Feng Zang, Hong-Ying Zhang, F. Xavier Castellanos, Michael P. Milham - National Academy of Sciences, Proceedings of the National Academy of Sciences 2010 cited by 3,093

  6. A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Gabriele Dambrauskaite, Maria Dreyer, Jessica Enders, Melina Engelhardt, M. Fischer, Norman Forschack, Johannes Golchert, Laura Golz, C.-N. Alexandrina Guran, Susanna Hedrich, Nicole Hentschel, D. Hoffmann, Julia M. Huntenburg, Rebecca Jost, Anna Kosatschek, Stella Kunzendorf, H. Bruce Lammers, Mark E. Lauckner, Keyvan Mahjoory, Ahmad S. Kanaan, Natacha Mendes, Ramona Menger, Enzo Morino, Karina Näthe, Jennifer Neubauer, Handan Noyan, Sabine Oligschläger, Patrycja Pańczyszyn-Trzewik, Dorothee Poehlchen, Nadine Putzke, Sabrina Roski, Marie-Catherine Schaller, Anja Schieferbein, Benito Schlaak, Robert Schmidt, Krzysztof J. Gorgolewski, Hanna Maria Schmidt, Anne Schrimpf, Sylvia Stasch, Maria Voß, Annett Wiedemann, Daniel S. Margulies, Michael Gaebler, Arno Villringer - Scientific Data 2019 cited by 406

  7. Microstructural and functional gradients are increasingly dissociated in transmodal cortices

    Authors: , , , , , , , , , , , - PLoS Biology 2019 cited by 600

  8. Atypical functional connectome hierarchy in autism

    Authors: , , , , , , , , , , - Nature Communications 2019 cited by 567

  9. Toward a hierarchical model of social cognition: A neuroimaging meta-analysis and integrative review of empathy and theory of mind.

    Authors: , , , , , , , - Psychological Bulletin 2020 cited by 613

  10. Predicting brain-age from multimodal imaging data captures cognitive impairment

    Authors: , , , , , , , , , , , , , , , , - NeuroImage 2016 cited by 566

  11. An open science resource for establishing reliability and reproducibility in functional connectomics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yi Jiang, William J. Kelley, Clare Kelly, Margaret King, Stephen M. LaConte, Janet E. Lainhart, Lei Xu, Hui‐Jie Li, Kaiming Li, Kuncheng Li, Qixiang Lin, Dongqiang Liu, Jia Liu, Xun Liu, Yijun Liu, Guangming Lu, Jie Lu, Beatríz Luna, Jing Luo, Daniel J. Lurie, Ying Mao, Daniel S. Margulies, Andrew R. Mayer, Thomas Meindl, M. Elizabeth Meyerand, Weizhi Nan, Jared A. Nielsen, David O’Connor, David J. Paulsen, Vivek Prabhakaran, Zhigang Qi, Jiang Qiu, Chunhong Shao, Zarrar Shehzad, Weijun Tang, Arno Villringer, Huiling Wang, Kai Wang, Dongtao Wei, Gao‐Xia Wei, Xu-Chu Weng, Xuehai Wu, Ting Xu, Ning Yang, Zhi Yang, Yu‐Feng Zang, Lei Zhang, Qinglin Zhang, Zhe Zhang, Zhiqiang Zhang, Ke Zhao, Zonglei Zhen, Yuan Zhou, Xing-Ting Zhu, Michael P. Milham - Scientific Data 2014 cited by 497

  12. Cross-species functional alignment reveals evolutionary hierarchy within the connectome

    Authors: , , , , , , , , , , , - NeuroImage 2020 cited by 276

  13. An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings

    Authors: , , , , , , - Communications Biology 2019 cited by 378

  14. Effects of Resveratrol on Memory Performance, Hippocampal Functional Connectivity, and Glucose Metabolism in Healthy Older Adults

    Authors: , , , - Journal of Neuroscience 2014 cited by 445

  15. Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy

    Authors: , , , , , , , , , , - Journal of Neuroscience 2010 cited by 765

  16. Gradients in brain organization

    Authors: , , , - NeuroImage 2022 cited by 144

  17. Precuneus shares intrinsic functional architecture in humans and monkeys

    Authors: , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2009 cited by 988

  18. Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding

    Authors: , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2018 cited by 303

  19. A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex

    Authors: , , , , , - Cerebral Cortex 2017 cited by 325

  20. Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex

    Authors: , , , , , , , , , , , , , , - Nature Communications 2022 cited by 132

  21. The Resting Brain: Unconstrained yet Reliable

    Authors: , , , , , , , , , , , , - Cerebral Cortex 2009 cited by 944

  22. NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

    Authors: , , , , , , , , , , , - Frontiers in Neuroinformatics, Frontiers Neuroinformatics 2014 cited by 652

  23. Gradients of neurotransmitter receptor expression in the macaque cortex

    Authors: , , , , , , , , - Nature Neuroscience 2023 cited by 103

  24. An Open Resource for Non-human Primate Imaging

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David A. Leopold, Patrik Lindenfors, Rogier B. Mars, Ravi S. Menon, Adam Messinger, Martine Meunier, Kelvin Mok, John H. Morrison, Jennifer Nacef, Jamie Nagy, Michael Ortiz-Rios, Christopher I. Petkov, Mark A. Pinsk, Colline Poirier, Emmanuel Procyk, Reza Rajimehr, Simon M. Reader, Pieter R. Roelfsema, David A. Rudko, Matthew F. S. Rushworth, Brian E. Russ, Jérôme Sallet, Michael C. Schmid, Caspar M. Schwiedrzik, Jakob Seidlitz, Julien Sein, Amir Shmuel, Elinor L. Sullivan, Leslie G. Ungerleider, Alexander Thiele, Orlin S. Todorov, Doris Y. Tsao, Zheng Wang, Charles Wilson, Essa Yacoub, Frank Q. Ye, Wilbert Zarco, Yong‐Di Zhou, Daniel S. Margulies, Charles E. Schroeder - Neuron 2018 cited by 282