Robel K Gebre

Also affiliated with WinnMed, Mayo Clinic in Arizona, Mayo Clinic in Florida

MedicineEnvironmental Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure”.

Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure

Journal of Nuclear Medicine(2024)10.2967/jnumed.123.267273

N/A

0.471DataRank · unranked

11 citations

Alexis Moscoso Rial, Sheelakumari Raghavan, Heather J. Wiste, Fiona Heeman, Alejandro Costoya‐Sánchez +12 more

White Matter Degeneration Pathways Associated With Tau Deposition in Alzheimer Disease

Neurology(2023)10.1212/wnl.0000000000207250

N/A

0DataRank · unranked

30 citations

Sheelakumari Raghavan, Robert I. Reid, Scott A. Przybelski, Timothy G. Lesnick, Robel K Gebre +9 more

Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis

Brain(2023)10.1093/brain/awad196

N/A

0DataRank · unranked

24 citations

Robel K Gebre, Jonathan Graff‐Radford, Ekaterina I. Hofrenning, Alicia Algeciras‐Schimnich, Daniel J. Figdore +8 more

Vascular risk, gait, behavioral, and plasma indicators of VCID

Alzheimer s & Dementia(2023)10.1002/alz.13540

N/A

0DataRank · unranked

16 citations

Scott A. Przybelski, Timothy G. Lesnick, Angela J. Fought, Robert I. Reid, Robel K Gebre +10 more

Advancing Tau-PET quantification in Alzheimer's disease with machine learning: introducing THETA, a novel tau summary measure

Research Square(2023)10.21203/rs.3.rs-3290598/v1

N/A

0DataRank · unranked

1 citations

Alexis Moscoso, Sheela Kumari Raghavan, Heather J. Wiste, Kohl L. Johnson Sparrman, Fiona Heeman +11 more

Machine Learning Models of Polygenic Risk for Enhanced Prediction of Alzheimer Disease Endophenotypes

Neurology Genetics(2024)10.1212/nxg.0000000000200120

N/A

0DataRank · unranked

16 citations

Robel K Gebre, Jonathan Graff‐Radford, Michael G. Heckman, Clifford R. Jack, Val J. Lowe +7 more

Cross–scanner harmonization methods for structural MRI may need further work: A comparison study

NeuroImage(2023)10.1016/j.neuroimage.2023.119912

N/A

0DataRank · unranked

42 citations

Matthew L. Senjem, Sheelakumari Raghavan, Christopher G. Schwarz, Jeffery Gunter, Ekaterina I. Hofrenning +8 more

Can integration of Alzheimer’s plasma biomarkers with MRI, cardiovascular, genetics, and lifestyle measures improve cognition prediction?

Brain Communications(2024)10.1093/braincomms/fcae300

N/A

0DataRank · unranked

6 citations

Jonathan Graff‐Radford, Vijay K. Ramanan, Sheelakumari Raghavan, Ekaterina I. Hofrenning, Scott A. Przybelski +12 more