Derek K. Jones

Active 1997–2026

179
Papers
34,195
Citations
82
h-index
155
i10-index

Citations

Citations per year for Derek K. Jones1951: 1 citations1965: 2 citations1973: 1 citations1975: 1 citations1981: 1 citations1986: 1 citations1987: 3 citations1990: 1 citations1991: 2 citations1992: 1 citations1993: 1 citations1994: 1 citations1998: 8 citations1999: 17 citations2000: 25 citations2001: 47 citations2002: 92 citations2003: 120 citations2004: 156 citations2005: 228 citations2006: 301 citations2007: 431 citations2008: 486 citations2009: 460 citations2010: 593 citations2011: 664 citations2012: 685 citations2013: 780 citations2014: 628 citations2015: 677 citations2016: 617 citations2017: 538 citations2018: 441 citations2019: 1,255 citations2020: 1,270 citations2021: 1,131 citations2022: 733 citations2023: 487 citations2024: 793 citations2025: 332 citations2026: 42 citations1952–1964: no citations, so these years are not shown1966–1972: no citations, so these years are not shown1974: no citations, so this year is not shown1976–1980: no citations, so these years are not shown1982–1985: no citations, so these years are not shown1988–1989: no citations, so these years are not shown1995–1997: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,045 citing papers, 27.4% of this breakdownUnited Kingdom: 1,841 citing papers, 12.5% of this breakdownGermany: 1,123 citing papers, 7.6% of this breakdownCanada: 847 citing papers, 5.7% of this breakdownNetherlands: 768 citing papers, 5.2% of this breakdownFrance: 691 citing papers, 4.7% of this breakdownChina: 674 citing papers, 4.6% of this breakdownItaly: 629 citing papers, 4.2% of this breakdownAustralia: 589 citing papers, 4% of this breakdownSwitzerland: 412 citing papers, 2.8% of this breakdownSpain: 321 citing papers, 2.2% of this breakdownJapan: 266 citing papers, 1.8% of this breakdown
0%27.4%Other 17.3%

Fields

  • Medicine66.6%
  • Neuroscience25.1%
  • Psychology3.2%
  • Biochemistry, Genetics and Molecular Biology1.4%
  • Computer Science1.4%
  • Mathematics0.5%
  • Other1.8%

Topics

  • Advanced Neuroimaging Techniques and Applications21.5%
  • Functional Brain Connectivity Studies10.8%
  • Advanced MRI Techniques and Applications9.4%
  • Fetal and Pediatric Neurological Disorders3.1%
  • MRI in cancer diagnosis3%
  • Neural dynamics and brain function2.4%
  • Other49.8%

Coauthors

All papers

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  1. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI

    Authors: , , - NeuroImage 2012 cited by 2,437

  2. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging

    Authors: , , , , - Human Brain Mapping 2012 cited by 1,147

  3. Mapping Structural Connectivity Using Diffusion MRI: Challenges and Opportunities

    Authors: , , , , - Journal of Magnetic Resonance Imaging 2020 cited by 199

  4. The B‐matrix must be rotated when correcting for subject motion in DTI data

    Authors: , - Magnetic Resonance in Medicine 2009 cited by 1,345

  5. Perisylvian language networks of the human brain

    Authors: , , - Annals of Neurology 2004 cited by 1,849

  6. Mapping microglia and astrocyte activation in vivo using diffusion MRI

    Authors: , , , , , , , - Science Advances 2022 cited by 99

  7. Twenty‐five pitfalls in the analysis of diffusion MRI data

    Authors: , - NMR in Biomedicine 2010 cited by 850

  8. Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain

    Authors: , , , - NeuroImage 2002 cited by 1,651

  9. Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline

    Authors: , , , , , - Neurology 2001 cited by 810

  10. Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI

    Authors: , , , , , , , , , , - NeuroImage 2018 cited by 206

  11. Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review

    Authors: , - NMR in Biomedicine 2002 cited by 1,476

  12. Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging

    Authors: , , - Magnetic Resonance in Medicine 1999 cited by 1,423

  13. Detecting microstructural deviations in individuals with deep diffusion MRI tractometry

    Authors: , , , , , , , , , , , , - Nature Computational Science, Nat. Comput. Sci. 2021 cited by 67

  14. The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: A Monte Carlo study†

    Authors: - Magnetic Resonance in Medicine 2004 cited by 791

  15. Resting GABA concentration predicts peak gamma frequency and fMRI amplitude in response to visual stimulation in humans

    Authors: , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2009 cited by 584

  16. Noninvasive quantification of axon radii using diffusion MRI

    Authors: , , , , , , - eLife 2020 cited by 201

  17. Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bennett A. Landman, Andrey Zhylka, Josien P. W. Pluim, Greg D. Parker, Umesh Rudrapatna, John Evans, Cyril Charron, Derek K. Jones, Chantal M. W. Tax - NeuroImage 2020 cited by 88

  18. “Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data

    Authors: , - Magnetic Resonance in Medicine 2004 cited by 601

  19. Gleaning multicomponent T1 and T2 information from steady‐state imaging data

    Authors: , , , , - Magnetic Resonance in Medicine 2008 cited by 490

  20. How and how not to correct for CSF-contamination in diffusion MRI

    Authors: , , , , - NeuroImage 2011 cited by 303

  21. Measuring compartmental T2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T2 correlation MRI

    Authors: , , , , , - NeuroImage 2021 cited by 63

  22. Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - NeuroImage 2022 cited by 53

  23. Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI

    Authors: - Imaging in Medicine 2010 cited by 339

  24. Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data

    Authors: , , , , , - NeuroImage 2015 cited by 166