Ronald Killiany

Alzheimer’s Disease Neuroimaging Initiative

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 100%percentile

0Author DataRank

Indexed papers

1in 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 1 indexed paper 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 →

Papers

Driven by 23 papers. Top paper: “An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest”.

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

NeuroImage(2006)10.1016/j.neuroimage.2006.01.021

N/A

1.4DataRank · unranked

13910 citations

Florent Ségonne, Bruce Fischl, Brian T. Quinn, Bradford C. Dickerson, Deborah Blacker +9 more

Whole Brain Segmentation

Neuron(2002)10.1016/s0896-6273(02)00569-x

N/A

1.4DataRank · unranked

8963 citations

David H. Salat, Evelina Busa, Marilyn Albert, Megan Dieterich, Christian Haselgrove +12 more

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Scientific Reports(2017)10.1038/srep44272

N/A

0.604DataRank · unranked

55 citations

Chanxiu Li, Lei Du, Xiaohui Yao, Jingwen Yan, Shannon L. Risacher +241 more

Biomarkers of Alzheimer’s disease in Black and/or African American Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants

Neurobiology of Aging(2023)10.1016/j.neurobiolaging.2023.07.021

N/A

0.509DataRank · unranked

10 citations

Yorghos Tripodis, Michael L. Alosco, Jesse Mez, Wei Qiao Qiu, Lee E. Goldstein +7 more

Brain age of rhesus macaques over the lifespan

Neurobiology of Aging(2024)10.1016/j.neurobiolaging.2024.02.014

N/A

0.208DataRank · unranked

3 citations

Madhura Baxi, Christopher R. Madan, Kevin Y. Zhan, Nikolaos Makris, Douglas L. Rosene +6 more

Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function

eBioMedicine(2026)10.1016/j.ebiom.2026.106133

N/A

0.208DataRank · unranked

3 citations

Hao Wu, Wenbiao Xian, Yifan Zheng, Wenxuan Du, Xinyi Chen +1916 more

Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning

medRxiv(2020)10.1101/2020.07.22.20159814

N/A

0.104DataRank · unranked

1 citations

Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian +5 more

Curcumin improves reversal learning in middle-aged rhesus monkeys.

Behavioral Neuroscience(2021)10.1037/bne0000497

N/A

0DataRank · unranked

2 citations

Mark B. Moss, Douglas L. Rosene, Ronald Killiany, Tara L. Moore, Ajay R. Uprety

The Effects of a Novel Non-catechol Dopamine Partial Agonist on Working Memory in the Aged Rhesus Monkey

Frontiers in Aging Neuroscience(2021)10.3389/fnagi.2021.757850

N/A

0DataRank · unranked

2 citations

Damon Young, Ronald Killiany, Kari R. Fonseca, Dmitri Volfson, David Gray +3 more

The relationship of age and hypertension with cognition and gray matter cerebral blood volume in a rhesus monkey model of human aging.

Behavioral Neuroscience(2021)10.1037/bne0000472

N/A

0DataRank · unranked

1 citations

Ronald Killiany, Elizabeth O’Donoghue, Bang‐Bon Koo, Richard D. Wainford, Mark B. Moss +3 more

Different loneliness types, cognitive function, and brain structure in midlife: Findings from the Framingham Heart Study

EClinicalMedicine(2022)10.1016/j.eclinm.2022.101643

N/A

0DataRank · unranked

50 citations

Samia C. Akhter‐Khan, Ting Fang Alvin Ang, Charles DeCarli, Michael L. Alosco, Jesse Mez +12 more

Ante-mortem plasma phosphorylated tau (181) predicts Alzheimer’s disease neuropathology and regional tau at autopsy

Brain(2022)10.1093/brain/awac175

N/A

0DataRank · unranked

29 citations

Hugo J. Aparicio, Kaj Blennow, Henrik Zetterberg, Nicholas J. Ashton, Thomas K. Karikari +20 more

A longitudinal examination of plasma neurofilament light and total tau for the clinical detection and monitoring of Alzheimer's disease

Neurobiology of Aging(2020)10.1016/j.neurobiolaging.2020.05.011

N/A

0DataRank · unranked

74 citations

Henrik Zetterberg, Kaj Blennow, Yorghos Tripodis, Ann C. McKee, Thor D. Stein +15 more

Riemannian frameworks for the harmonization of resting-state functional MRI scans

Medical Image Analysis(2023)10.1016/j.media.2023.103043

N/A

0DataRank · unranked

6 citations

Sudha Seshadri, Ronald Killiany, John Blangero, David C. Glahn, Peter T. Fox +2 more

Human-to-monkey transfer learning identifies the frontal white matter as a key determinant for predicting monkey brain age

Frontiers in Aging Neuroscience(2023)10.3389/fnagi.2023.1249415

N/A

0DataRank · unranked

5 citations

Yi Guan, Chia Hsin Cheng, Tara L. Moore, Jennifer I. Luebke, Ronald Killiany +4 more

Annualized changes in rate of amyloid deposition and neurodegeneration are greater in participants who become amyloid positive than those who remain amyloid negative

Neurobiology of Aging(2023)10.1016/j.neurobiolaging.2023.03.005

N/A

0DataRank · unranked

5 citations

Yorghos Tripodis, Michael L. Alosco, Jesse Mez, Wei Qiao Qiu, Gustavo Mercier +5 more

Associations between white matter integrity of the cingulum bundle, surrounding gray matter regions, and cognition across the dementia continuum

The Journal of Comparative Neurology(2023)10.1002/cne.25564

N/A

0DataRank · unranked

2 citations

Michael L. Alosco, Diane Dixon, Yorghos Tripodis, Jesse Mez, Lee E. Goldstein +4 more

Prefrontal and medial temporal interactions in memory functions in the rhesus monkey.

Behavioral Neuroscience(2023)10.1037/bne0000556

N/A

0DataRank · unranked

5 citations

Tara L. Moore, Douglas L. Rosene, Ronald Killiany, Mark B. Moss, Laura A Welke

Neuronal properties of pyramidal cells in lateral prefrontal cortex of the aging rhesus monkey brain are associated with performance deficits on spatial working memory but not executive function

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.07.527321

N/A

0DataRank · unranked

0 citations

Maria Medalla, Sara Ibañez, Klaus Wimmer, Chromewell A. Mojica, Ronald Killiany +4 more

Neuronal properties of pyramidal cells in lateral prefrontal cortex of the aging rhesus monkey brain are associated with performance deficits on spatial working memory but not executive function

GeroScience(2023)10.1007/s11357-023-00798-2

N/A

0DataRank · unranked

24 citations

Maria Medalla, Sara Ibañez, Klaus Wimmer, Chromewell A. Mojica, Ronald Killiany +4 more

Hippocampal Resting-State Functional Connectivity Patterns are More Closely Associated with Severity of Subjective Memory Decline than Whole Hippocampal and Subfield Volumes

Cerebral Cortex Communications(2020)10.1093/texcom/tgaa019

N/A

0DataRank · unranked

15 citations

Bang‐Bon Koo, Yorghos Tripodis, Asim Mian, Eric Steinberg, Jesse Mez +5 more

The cortical origin and initial spread of medial temporal tauopathy in Alzheimer’s disease assessed with positron emission tomography

Science Translational Medicine(2021)10.1126/scitranslmed.abc0655

N/A

0DataRank · unranked

208 citations

J. Alex Becker, Heidi I.L. Jacobs, Bernard Hanseeuw, Shu Jiang, Aaron P. Schultz +18 more

Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

Alzheimer s Research & Therapy(2021)10.1186/s13195-021-00797-5

N/A

0DataRank · unranked

83 citations

Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian +4 more