Samantha C. Burnham

MedicineNeuroscience

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 4%percentile

0.750Author DataRank

Indexed papers

3in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

ADNI Biomarker Core: A review of progress since 2004 and future challenges

Alzheimer s & Dementia(2024)10.1002/alz.14264

Top 27%

0.750DataRank

Top 27%25 citations

Magdalena Korecka, Edward B. Lee, Katheryn A Q Cousins, Hugo Vanderstichele, Suzanne E. Schindler +12 more

Papers

Driven by 15 papers — median percentile 73. Top paper: “Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture”.

Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

Nature Communications(2020)10.1038/s41467-020-18534-1

N/A

9.0DataRank · unranked

287 citations

Julia Sidorenko, Baptiste Couvy‐Duchesne, Riccardo E. Marioni, Margaret J. Wright, Alison Goate +76 more

ADNI Biomarker Core: A review of progress since 2004 and future challenges

Alzheimer s & Dementia(2024)10.1002/alz.14264

Top 27%

0.750DataRank

Top 27%25 citations

Magdalena Korecka, Edward B. Lee, Katheryn A Q Cousins, Hugo Vanderstichele, Suzanne E. Schindler +12 more

Characteristics of subjective cognitive decline associated with amyloid positivity

Alzheimer s & Dementia(2021)10.1002/alz.12512

N/A

0.604DataRank · unranked

55 citations

Willemijn J. Jansen, Stephanie J. B. Vos, Mercè Boada, Lucilla Parnetti, Tomasz Gabryelewicz +58 more

Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform

Scientific Reports(2023)10.1038/s41598-023-44378-y

N/A

0.464DataRank · unranked

21 citations

Letitia M.F. Sng, Piotr Szul, Robert Dunne, Arash Bayat, Samantha C. Burnham +3 more

Alzheimer's disease research progress in Australia: The Alzheimer's Association International Conference Satellite Symposium in Sydney

Alzheimer s & Dementia(2021)10.1002/alz.12380

N/A

0.385DataRank · unranked

12 citations

Kaarin J. Anstey, Filippo Baldacci, Christopher J. Barnum, Anna M. Barron, Kaj Blennow +30 more

Evolution of white matter hyperintensity segmentation methods and implementation over the past two decades; an incomplete shift towards deep learning

Brain Imaging and Behavior(2024)10.1007/s11682-024-00902-w

N/A

0.345DataRank · unranked

9 citations

Donna Dierker, Lauren Yaeger, Andrew J. Saykin, Patrick H. Luckett, Andrei G. Vlassenko +65 more

Connecting Cohorts to Diminish Alzheimer’s Disease (CONCORD-AD): A Report of an International Research Collaboration Network

Journal of Alzheimer's Disease(2022)10.3233/jad-210525

N/A

0.330DataRank · unranked

8 citations

Samantha C. Burnham, Joseph S. Kass, Catherine Helmer, Sebastian Palmqvist, Maria Vassilaki +12 more

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease

Brain Informatics(2025)10.1186/s40708-024-00249-4

N/A

0.249DataRank · unranked

4 citations

Madison Cuppels, Rory Boyle, Hannah M Klinger, Oliver Langford, Gillian Coughlan +30 more

Clinical validation of the Lilly SP‐X P‐tau217 assay: Performance in underrepresented cohorts

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring(2025)10.1002/dad2.70139

N/A

0.208DataRank · unranked

3 citations

Adam Abel, Antonio Chambers, Ming Lu, Amanda Morris, Michael J. Pontecorvo +7 more

Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform

medRxiv(2023)10.1101/2023.10.04.23296569

N/A

0.165DataRank · unranked

2 citations

Letitia M.F. Sng, Piotr Szul, Robert Dunne, Arash Bayat, Samantha C. Burnham +4 more

Diminished Learning Over Repeated Exposures (LORE) in preclinical Alzheimer's disease

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2020)10.1002/dad2.12132

N/A

0DataRank · unranked

53 citations

Rebecca E. Amariglio, Samantha C. Burnham, Paige Sparks, Michael J Properzi, Aaron P. Schultz +6 more

β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3

NeuroImage(2022)10.1016/j.neuroimage.2022.119527

N/A

0DataRank · unranked

34 citations

Vincent Doré, Samantha C. Burnham, Tammie L.S. Benzinger, Duygu Tosun, Shenpeng Li +10 more

Impact of APOE-ε4 carriage on the onset and rates of neocortical Aβ-amyloid deposition

Neurobiology of Aging(2020)10.1016/j.neurobiolaging.2020.06.001

N/A

0DataRank · unranked

52 citations

Simon M. Laws, Charley Budgeon, Vincent Doré, Tenielle Porter, Pierrick Bourgeat +12 more

Mesial temporal tau is related to worse cognitive performance and greater neocortical tau load in amyloid-β–negative cognitively normal individuals

Neurobiology of Aging(2020)10.1016/j.neurobiolaging.2020.09.017

N/A

0DataRank · unranked

48 citations

Vincent Doré, Joanne Robertson, Samantha C. Burnham, Greg Savage, Rik Ossenkoppele +3 more

Rethinking the residual approach: Leveraging machine learning to operationalize cognitive resilience in Alzheimer’s disease

medRxiv(2024)10.1101/2024.08.19.24312256

N/A

0DataRank · unranked

1 citations

Madison Cuppels, Rory Boyle, Hannah M Klinger, Oliver Langford, Gillian Coughlan +30 more

Samantha C. Burnham

Indexed papers

Top data-sharing exemplar

Papers