Sue Kulason - Concepedia

Author

Sue Kulason

Johns Hopkins University

Also Known As

Kulason, S., Sue Kulason

Publications

278

Citations

H-Index

Concepts

All Affiliations

Johns Hopkins University University of California, Los Angeles Discovery Institute Intuitive Surgical (United States)Brain Mapping Foundation

About

Sue Kulason is an author at Johns Hopkins University specializing in medicine, neuroimaging, and neuropsychology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	3	3	140
2	Social Sciences	2	2	107
3	Neurology	2	2	107
4	Engineering	1	1	33
5	Cellular Physiology	1	1	33

Sue Kulason

Publications

246

Citations

H-Index

Page 1

	Year	Citations
Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment Sue Kulason, Daniel J. Tward, Timothy Brown, NeuroImage Clinical NeuropsychologyVolume MeasuresBrain FunctionCorticobasal DegenerationAtrophy Rate	2018	58
Entorhinal and Transentorhinal Atrophy in Preclinical Alzheimer's Disease Sue Kulason, Eileen Xu, Daniel J. Tward, Frontiers in Neuroscience NeuropsychologyBrain MappingBrain LesionAtrophy RateSocial Sciences	2020	49
Reduced Thickness of the Anterior Cingulate Cortex in Individuals With an At-Risk Mental State Who Later Develop Psychosis Yoichiro Takayanagi, Sue Kulason, Daiki Sasabayashi, Schizophrenia Bulletin	2017	34
The Local Forces Acting on the Mechanotransduction Channel in Hair Cell Stereocilia Richard J. Powers, Sue Kulason, Erdinç Atılgan, Biophysical Journal MechanobiologyCell PhysiologyEngineeringBiomechanicsPhysiology	2014	33
How to Bring Surgery to the Next Level: Interpretable Skills Assessment in Robotic-Assisted Surgery Kristen C. Brown, Kiran Bhattacharyya, Sue Kulason, Visceral Medicine	2020	32
Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer’s disease Kaitlin Stouffer, Claire Chen, Sue Kulason, NeuroImage Clinical	2023	28
Predicting Surgical Experience After Robotic Nerve-sparing Radical Prostatectomy Simulation Using a Machine Learning–based Multimodal Analysis of Objective Performance Metrics Nathan Schuler, Lauren Shepard, Aaron Saxton, Urology Practice	2023	12

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