Philip Scheltens

Psychiatry and Mental health · 2001–2017

A researcher in the Science corpus: 35 papers; trusts 32 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Scheltens trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stephen M. Smith
  2. John Ashburner
  3. Cornelis J. Stam
  4. Mark Jenkinson
  5. Olaf Sporns
  6. Karl J. Friston
  7. Randy L. Buckner
  8. Steven H. Strogatz
  9. Michael D. Greicius
  10. Christian F. Beckmann

Who trusts Philip Scheltens overall

  1. Martijn P. van den Heuvel
  2. Olaf Sporns
  3. Vinod Menon
  4. Gustavo Deco
  5. Randy L. Buckner
  6. Jessica S. Damoiseaux
  7. Rasmus M. Birn
  8. F. X. Castellanos
  9. Lucina Q. Uddin
  10. Yong Fan

Papers from Philip Scheltens's perspective

Ordered by how strongly the researchers Philip Scheltens trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Voxel-based morphometry--the methods.
  2. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory (Journal of Neuroscience)
  3. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
  4. A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
  5. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
  6. Complex brain networks: graph theoretical analysis of structural and functional systems
  7. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
  8. Collective dynamics of ‘small-world’ networks
  9. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  10. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)

Their papers