Richard Frank

Physiology · 2003–2010

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Frank trusts overall

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

  1. Yvette I. Sheline
  2. D. Selkoe
  3. Deanna M. Barch
  4. P. Ridker

Who trusts Richard Frank overall

  1. L. Fass
  2. Alessandra Griffa
  3. Stephen Kingsmore
  4. Philipp S. Baumann
  5. Jean-Philippe Thiran

Papers from Richard Frank's perspective

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

  1. Mild cognitive impairment represents early-stage Alzheimer disease. (Archives of Neurology)
  2. Increased amygdala response to masked emotional faces in depressed subjects resolves with antidepressant treatment: an fMRI study. (Biological Psychiatry)
  3. Current concepts in mild cognitive impairment. (Archives of Neurology)
  4. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention… (Circulation)
  5. Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's Disease Neuroimaging Initiative (ADNI) (Alzheimer's & Dementia)
  6. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. (New England Journal of Medicine)
  7. Rapid restoration of cognition in Alzheimer's transgenic mice with 8-hydroxy quinoline analogs is associated with decreased interstitial Abeta. (Neuron)
  8. Alzheimer's disease: genes, proteins, and therapy. (Physiological Reviews)
  9. Prediction of cognitive decline in normal elderly subjects with 2-[18F]fluoro-2-deoxy-d-glucose/positron-emission tomography (FDG/PET) (Proceedings of the National Academy of Sciences of the United States of America)
  10. Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics (Nature Medicine)

Their papers