Leanne M. Williams

Active 1996–2025

213
Papers
29,787
Citations
107
h-index
207
i10-index

Citations

Citations per year for Leanne M. Williams1954: 1 citations1985: 2 citations1999: 3 citations2000: 2 citations2001: 8 citations2002: 25 citations2003: 68 citations2004: 97 citations2005: 161 citations2006: 281 citations2007: 309 citations2008: 409 citations2009: 429 citations2010: 408 citations2011: 419 citations2012: 400 citations2013: 366 citations2014: 336 citations2015: 379 citations2016: 295 citations2017: 312 citations2018: 268 citations2019: 937 citations2020: 917 citations2021: 1,003 citations2022: 715 citations2023: 558 citations2024: 976 citations2025: 433 citations2026: 34 citations1955–1984: no citations, so these years are not shown1986–1998: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,755 citing papers, 29.3% of this breakdownUnited Kingdom: 1,107 citing papers, 8.7% of this breakdownChina: 1,101 citing papers, 8.6% of this breakdownGermany: 857 citing papers, 6.7% of this breakdownAustralia: 732 citing papers, 5.7% of this breakdownCanada: 709 citing papers, 5.6% of this breakdownNetherlands: 510 citing papers, 4% of this breakdownItaly: 400 citing papers, 3.1% of this breakdownFrance: 297 citing papers, 2.3% of this breakdownSwitzerland: 273 citing papers, 2.1% of this breakdownSpain: 259 citing papers, 2% of this breakdownJapan: 233 citing papers, 1.8% of this breakdown
0%29.3%Other 20.1%

Fields

  • Neuroscience48.1%
  • Medicine26.4%
  • Psychology17.2%
  • Biochemistry, Genetics and Molecular Biology2.7%
  • Computer Science2.3%
  • Social Sciences0.6%
  • Other2.7%

Topics

  • Functional Brain Connectivity Studies11.4%
  • Neural and Behavioral Psychology Studies4.8%
  • Neural dynamics and brain function4.1%
  • Mental Health Research Topics3.5%
  • Advanced Neuroimaging Techniques and Applications3.4%
  • Stress Responses and Cortisol3.1%
  • Other69.7%

Coauthors

All papers

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  1. Precision psychiatry: a neural circuit taxonomy for depression and anxiety

    Authors: - The Lancet Psychiatry 2016 cited by 655

  2. Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know

    Authors: , , , , , , , , , - American Journal of Neuroradiology 2018 cited by 569

  3. Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety

    Authors: , , , , , , , , , , , , , , , , - Nature Medicine 2024 cited by 188

  4. The new field of ‘precision psychiatry’

    Authors: , , , , , - BMC Medicine 2017 cited by 539

  5. Paying attention to attention in depression

    Authors: , , , , - Translational Psychiatry 2019 cited by 325

  6. New and emerging approaches to treat psychiatric disorders

    Authors: , , , , - Nature Medicine 2023 cited by 139

  7. A Public Database of Immersive VR Videos with Corresponding Ratings of Arousal, Valence, and Correlations between Head Movements and Self Report Measures

    Authors: , , , , - Frontiers in Psychology 2017 cited by 190

  8. Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety

    Authors: , , , , , , , , , , - Biological Psychiatry 2021 cited by 153

  9. A Cognitive Biotype of Depression Linking Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes

    Authors: , , , , , , , , , , - JAMA Network Open 2023 cited by 109

  10. Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation

    Authors: - Depression and Anxiety 2016 cited by 305

  11. Causal interactions between fronto-parietal central executive and default-mode networks in humans

    Authors: , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2013 cited by 574

  12. Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis

    Authors: , , , - Biological Psychiatry 2014 cited by 379

  13. Intrinsic connectomes are a predictive biomarker of remission in major depressive disorder

    Authors: , , , - Molecular Psychiatry 2019 cited by 162

  14. Childhood trauma predicts antidepressant response in adults with major depression: data from the randomized international study to predict optimized treatment for depression

    Authors: , , , , - Translational Psychiatry 2016 cited by 292

  15. Effect of Repetitive Transcranial Magnetic Stimulation on Treatment-Resistant Major Depression in US Veterans

    Authors: , , , , , , , , , , , , , , , , - JAMA Psychiatry 2018 cited by 169

  16. Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination

    Authors: , , , , , - NeuroImage Clinical 2021 cited by 111

  17. Connectivity of the Cognitive Control Network During Response Inhibition as a Predictive and Response Biomarker in Major Depression: Evidence From a Randomized Clinical Trial

    Authors: , , , - Biological Psychiatry 2019 cited by 86

  18. UNRAVELing the synergistic effects of psilocybin and environment on brain-wide immediate early gene expression in mice

    Authors: , , , , , , , , , , - Neuropsychopharmacology 2023 cited by 49

  19. Widespread reductions in gray matter volume in depression

    Authors: , , , , - NeuroImage Clinical 2013 cited by 389

  20. Effect of antidepressant treatment on cognitive impairments associated with depression: a randomised longitudinal study

    Authors: , , , , , - The Lancet Psychiatry 2016 cited by 245

  21. Amygdala Reactivity to Emotional Faces in the Prediction of General and Medication-Specific Responses to Antidepressant Treatment in the Randomized iSPOT-D Trial

    Authors: , , , , , , , , , - Neuropsychopharmacology 2015 cited by 201

  22. Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression

    Authors: , , , , , , , , , - JAMA Network Open 2020 cited by 87

  23. Brain maturation in adolescence: Concurrent changes in neuroanatomy and neurophysiology

    Authors: , , , , , - Human Brain Mapping 2006 cited by 401

  24. Inhibition-related modulation of salience and frontoparietal networks predicts cognitive control ability and inattention symptoms in children with ADHD

    Authors: , , , , - Molecular Psychiatry 2019 cited by 102