Jeff H. Duyn

Active 1993–2025

115
Papers
23,021
Citations
75
h-index
104
i10-index

Citations

Citations per year for Jeff H. Duyn1951: 1 citations1965: 3 citations1974: 1 citations1975: 2 citations1981: 1 citations1988: 1 citations1990: 2 citations1993: 1 citations1994: 2 citations1995: 13 citations1996: 14 citations1997: 22 citations1998: 21 citations1999: 25 citations2000: 45 citations2001: 42 citations2002: 25 citations2003: 67 citations2004: 60 citations2005: 77 citations2006: 105 citations2007: 117 citations2008: 176 citations2009: 225 citations2010: 274 citations2011: 386 citations2012: 370 citations2013: 464 citations2014: 428 citations2015: 452 citations2016: 551 citations2017: 576 citations2018: 454 citations2019: 941 citations2020: 953 citations2021: 900 citations2022: 672 citations2023: 494 citations2024: 796 citations2025: 468 citations2026: 77 citations2027: 1 citations1952–1964: no citations, so these years are not shown1966–1973: no citations, so these years are not shown1976–1980: no citations, so these years are not shown1982–1987: no citations, so these years are not shown1989: no citations, so this year is not shown1991–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,538 citing papers, 30.7% of this breakdownChina: 1,250 citing papers, 10.9% of this breakdownUnited Kingdom: 929 citing papers, 8.1% of this breakdownGermany: 900 citing papers, 7.8% of this breakdownCanada: 540 citing papers, 4.7% of this breakdownNetherlands: 431 citing papers, 3.7% of this breakdownFrance: 394 citing papers, 3.4% of this breakdownItaly: 394 citing papers, 3.4% of this breakdownSwitzerland: 336 citing papers, 2.9% of this breakdownAustralia: 317 citing papers, 2.8% of this breakdownSouth Korea: 201 citing papers, 1.7% of this breakdownSpain: 200 citing papers, 1.7% of this breakdown
0%30.7%Other 18.2%

Fields

  • Neuroscience51.7%
  • Medicine35.9%
  • Psychology4%
  • Biochemistry, Genetics and Molecular Biology2.1%
  • Computer Science1.6%
  • Materials Science1.1%
  • Other3.6%

Topics

  • Functional Brain Connectivity Studies17.5%
  • Advanced MRI Techniques and Applications11.2%
  • Neural dynamics and brain function9.8%
  • Advanced Neuroimaging Techniques and Applications7%
  • EEG and Brain-Computer Interfaces4.7%
  • Mental Health Research Topics1.7%
  • Other48.1%

Coauthors

All papers

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  1. Dynamic functional connectivity: Promise, issues, and interpretations

    Authors: , , , , , , , , , , , , , , , , , - NeuroImage 2013 cited by 3,119

  2. The role of iron in brain ageing and neurodegenerative disorders

    Authors: , , , , - The Lancet Neurology 2014 cited by 1,813

  3. Time-varying functional network information extracted from brief instances of spontaneous brain activity

    Authors: , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2013 cited by 746

  4. Subcortical evidence for a contribution of arousal to fMRI studies of brain activity

    Authors: , , , , , , - Nature Communications 2018 cited by 286

  5. Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro‐magnetic tissue properties study group

    Authors: , , , , , , , , , , , , , , , , , - Magnetic Resonance in Medicine 2024 cited by 128

  6. Co-activation patterns in resting-state fMRI signals

    Authors: , , , - NeuroImage 2018 cited by 255

  7. Neural basis of global resting-state fMRI activity

    Authors: , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2010 cited by 995

  8. Tracking brain arousal fluctuations with fMRI

    Authors: , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2016 cited by 361

  9. Association between heart rate variability and fluctuations in resting-state functional connectivity

    Authors: , , , , , - NeuroImage 2012 cited by 363

  10. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data

    Authors: , , , , , - Magnetic Resonance in Medicine 2009 cited by 549

  11. Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns

    Authors: , , - Frontiers in Systems Neuroscience 2013 cited by 236

  12. Contributions to magnetic susceptibility of brain tissue

    Authors: , - NMR in Biomedicine 2016 cited by 218

  13. Decoupling of the brain's default mode network during deep sleep

    Authors: , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2009 cited by 704

  14. Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and early sleep stages

    Authors: , , , , , , , , , - Magnetic Resonance Imaging 2006 cited by 387

  15. EEG correlates of time-varying BOLD functional connectivity

    Authors: , , , , - NeuroImage 2013 cited by 365

  16. The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations

    Authors: , , , , , , , , - Neuron 2018 cited by 256

  17. Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG‐fMRI study

    Authors: , , , , , , - Human Brain Mapping 2007 cited by 614

  18. Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast

    Authors: , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2010 cited by 428

  19. Cortical lesion hotspots and association of subpial lesions with disability in multiple sclerosis

    Authors: , , , , , , , , , , , , , , , , , , , , , , - Multiple Sclerosis Journal 2022 cited by 69

  20. Cerebrovascular activity is a major factor in the cerebrospinal fluid flow dynamics

    Authors: , , , , , , - NeuroImage 2022 cited by 58

  21. High-field MRI of brain cortical substructure based on signal phase

    Authors: , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2007 cited by 661

  22. Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal

    Authors: , , , , , , - NeuroImage 2007 cited by 575

  23. Iron Accumulation in Deep Cortical Layers Accounts for MRI Signal Abnormalities in ALS: Correlating 7 Tesla MRI and Pathology

    Authors: , , , , , , , , , , , , , - PLoS ONE 2012 cited by 295

  24. Sympathetic activity contributes to the fMRI signal

    Authors: , , , , , , , - Communications Biology 2019 cited by 128