Rhoda Au

Active 1992–2026

211
Papers
28,686
Citations
85
h-index
185
i10-index

Citations

Citations per year for Rhoda Au1968: 2 citations1989: 1 citations1996: 4 citations1997: 13 citations1998: 16 citations1999: 9 citations2000: 22 citations2001: 17 citations2002: 32 citations2003: 32 citations2004: 30 citations2005: 58 citations2006: 77 citations2007: 113 citations2008: 159 citations2009: 185 citations2010: 172 citations2011: 234 citations2012: 230 citations2013: 247 citations2014: 305 citations2015: 295 citations2016: 344 citations2017: 331 citations2018: 307 citations2019: 1,015 citations2020: 1,028 citations2021: 1,119 citations2022: 1,106 citations2023: 889 citations2024: 1,466 citations2025: 837 citations2026: 68 citations1969–1988: no citations, so these years are not shown1990–1995: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,410 citing papers, 30% of this breakdownChina: 1,170 citing papers, 8% of this breakdownUnited Kingdom: 1,117 citing papers, 7.6% of this breakdownCanada: 639 citing papers, 4.3% of this breakdownAustralia: 613 citing papers, 4.2% of this breakdownGermany: 569 citing papers, 3.9% of this breakdownNetherlands: 505 citing papers, 3.4% of this breakdownItaly: 442 citing papers, 3% of this breakdownSweden: 432 citing papers, 2.9% of this breakdownFrance: 425 citing papers, 2.9% of this breakdownSpain: 371 citing papers, 2.5% of this breakdownSouth Korea: 263 citing papers, 1.8% of this breakdown
0%30%Other 25.5%

Fields

  • Medicine62.4%
  • Neuroscience13.6%
  • Biochemistry, Genetics and Molecular Biology7.9%
  • Psychology4.7%
  • Computer Science3.2%
  • Nursing2.6%
  • Other5.6%

Topics

  • Dementia and Cognitive Impairment Research11.1%
  • Alzheimer's disease research and treatments7.1%
  • Functional Brain Connectivity Studies2.3%
  • Neurological Disease Mechanisms and Treatments2%
  • Traumatic Brain Injury Research2%
  • Neuroinflammation and Neurodegeneration Mechanisms1.8%
  • Other73.7%

Coauthors

All papers

Open in search
  1. Multimodal deep learning for Alzheimer’s disease dementia assessment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yan Zhou, Shuhan Zhu, Michael L. Alosco, Jesse Mez, Thor D. Stein, Kathleen L. Poston, Rhoda Au, Vijaya B. Kolachalama - Nature Communications 2022 cited by 365

  2. Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

    Authors: , , , , , , , , , , , , , , , , , , , , - Brain 2020 cited by 475

  3. Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates

    Authors: , , , , , , , , , , , - Journal of Alzheimer s Disease 2014 cited by 755

  4. Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - JAMA Neurology 2017 cited by 665

  5. Designing the next-generation clinical care pathway for Alzheimer’s disease

    Authors: , , , , , , , , , , , , , , , , , - Nature Aging 2022 cited by 194

  6. Deep ensemble learning for Alzheimer's disease classification

    Authors: , , , , - Journal of Biomedical Informatics, J. Biomed. Informatics 2020 cited by 198

  7. Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer’s Disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Xianlin Han, Rebecca Baillie, Oliver Fiehn, Dinesh Kumar Barupal, Peter J. Meikle, Sarkis K. Mazmanian, Mitchel A. Kling, Leslie M. Shaw, John Q. Trojanowski, Jon B. Toledo, Cornelia van Duijin, Thomas Hankemier, Ines Thiele, Almut Heinken, Nathan D. Price, Cory C. Funk, Priyanka Baloni, Wei Jia, David S. Wishart, Roberta Dı́az Brinton, Rui Chang, Lindsay A. Farrer, Rhoda Au, Wendy Qiu, Peter Würtz, Lara M. Mangravite, Jan Krumsiek, John W. Newman, Bin Zhang, Herman Moreno, Rima Kaddurah‐Daouk, Nathan D. Price - Cell Reports Medicine 2020 cited by 210

  8. Insufficient Sleep in Adolescents and Young Adults: An Update on Causes and Consequences

    Authors: , , , , , , , , , , , , - PEDIATRICS 2014 cited by 1,396

  9. Gender and incidence of dementia in the Framingham Heart Study from mid‐adult life

    Authors: , , , , , , - Alzheimer s & Dementia 2014 cited by 523

  10. AI-based differential diagnosis of dementia etiologies on multimodal data

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cody Karjadi, Ting Fang Alvin Ang, Sarah Adel Bargal, Bryan A. Plummer, Kathleen L. Poston, Meysam Ahangaran, Rhoda Au, Vijaya B. Kolachalama - Nature Medicine 2024 cited by 153

  11. Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline

    Authors: , , , , , , , - Neurology 2011 cited by 777

  12. Cumulative Head Impact Exposure Predicts Later-Life Depression, Apathy, Executive Dysfunction, and Cognitive Impairment in Former High School and College Football Players

    Authors: , , , , , , , , , , , , - Journal of Neurotrauma 2016 cited by 569

  13. Association of Chronic Low-grade Inflammation With Risk of Alzheimer Disease in ApoE4 Carriers

    Authors: , , , , , , , , , - JAMA Network Open 2018 cited by 243

  14. Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach

    Authors: , , , , , , , , - Alzheimer s & Dementia 2022 cited by 66

  15. Lifetime risk of dementia and Alzheimer's disease

    Authors: , , , , , , - Neurology 1997 cited by 496

  16. Large Language Models in Neurology Research and Future Practice

    Authors: , , , , - Neurology 2023 cited by 71

  17. Duration of American Football Play and Chronic Traumatic Encephalopathy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , - Annals of Neurology 2019 cited by 264

  18. Recommendations to address key recruitment challenges of Alzheimer's disease clinical trials

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Alzheimer s & Dementia 2022 cited by 108

  19. Multi-Omic analyses characterize the ceramide/sphingomyelin pathway as a therapeutic target in Alzheimer’s disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shahzad Ahmad, Thomas Hankemeier, Ivan A. Hernandez, Almut Heinken, Filippo Martinelli Boneschi, Ines Thiele, Johannes Hertel, Tim Hensen, Tim Hulshof, Lindsay A. Farrer, Rhoda Au, Wendy Wei Qiao Qiu, Thor D. Stein, Naama Karu, Kamil Borkowski, John Newman, Wei Jia, Guoxiang Xie, Jingye Wang, Runmin Wei, Dan Rader, Mitchel A. Kling, Leslie Shaw, P. Murali Doraiswamy, Cory C. Funk, A. Iván Hernández, Gabi Kastenmüller, Rebecca Baillie, Xianlin Han, Rima Kaddurah‐Daouk - Communications Biology 2022 cited by 104

  20. Depressive symptoms and risk of dementia

    Authors: , , , , , - Neurology 2010 cited by 487

  21. Detection of dementia on voice recordings using deep learning: a Framingham Heart Study

    Authors: , , , , - Alzheimer s Research & Therapy 2021 cited by 74

  22. Association of MRI Markers of Vascular Brain Injury With Incident Stroke, Mild Cognitive Impairment, Dementia, and Mortality

    Authors: , , , , , , , , , - Stroke 2010 cited by 507

  23. Effects of systolic blood pressure on white-matter integrity in young adults in the Framingham Heart Study: a cross-sectional study

    Authors: , , , , , , , , - The Lancet Neurology 2012 cited by 325

  24. Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models

    Authors: , , , , , , - Alzheimer s & Dementia 2024 cited by 56