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Neuroscience

D-Index
72
Citations
22311
World Ranking
2276
National Ranking
1083

Overview

Kwangsik Nho is affiliated with Indiana University in the United States. Their research primarily focuses on Alzheimer's disease and related biomedical fields, contributing to a variety of studies that explore genetic, metabolic, and neurodegenerative mechanisms underpinning the disease.

The scientist has published extensively in the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with particular attention to subfields including Molecular Biology, Physiology, Psychiatry and Mental Health, Genetics, and Cognitive Neuroscience. Their research covers a broad spectrum of Alzheimer's disease and neurological conditions from molecular pathways to cognitive impairment.

Key topics addressed in their work are:

  • Alzheimer's disease research and treatments
  • Bioinformatics and Genomic Networks
  • Dementia and Cognitive Impairment Research
  • Genetic Associations and Epidemiology
  • Functional Brain Connectivity Studies
  • Metabolomics and Mass Spectrometry Studies
  • Neuroinflammation and Neurodegeneration Mechanisms

Their recent publications include:

  • "Spread of pathological tau proteins through communicating neurons in human Alzheimer's disease" (2020), Nature Communications
  • "Functional brain architecture is associated with the rate of tau accumulation in Alzheimer's disease" (2020), Nature Communications
  • "Sex and APOE ε4 genotype modify the Alzheimer's disease serum metabolome" (2020), Nature Communications
  • "Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer's Disease" (2020), Cell Reports Medicine
  • "Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease" (2021), Alzheimer s & Dementia

Kwangsik Nho has frequently collaborated with several scholars in the field, including Andrew J. Saykin, Shannon L. Risacher, Michael Donohue, Rima Kaddurah-Daouk, and Clifford R. Jack. These co-authors are noted for numerous joint publications ranging from 41 to over 200 collaborations.

The venues where this scientist frequently publishes highlight these journals as primary outlets:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Scientific Reports
  • GeroScience

Best Publications

  • Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

    Y. Iturria-Medina;R. C. Sotero;P. J. Toussaint;J. M. Mateos-Pérez

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Four distinct trajectories of tau deposition identified in Alzheimer’s disease

    Jacob W Vogel;Alexandra L Young;Neil P Oxtoby;Ruben Smith

  • Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

    Taeho Jo;Kwangsik Nho;Kwangsik Nho;Andrew J. Saykin;Andrew J. Saykin

  • Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-An emerging role for gut microbiome.

    Siamak MahmoudianDehkordi;Matthias Arnold;Kwangsik Nho;Shahzad Ahmad

  • Spread of pathological tau proteins through communicating neurons in human Alzheimer's disease

    Jacob W. Vogel;Yasser Iturria-Medina;Olof T. Strandberg;Ruben Smith

  • Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans.

    Andrew J. Saykin;Li Shen;Tatiana M. Foroud;Steven G. Potkin

  • Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study.

    Vijay R. Varma;Anup M. Oommen;Sudhir Varma;Ramon Casanova

  • Metabolic network failures in Alzheimer's disease: A biochemical road map

    Jon B. Toledo;Jon B. Toledo;Matthias Arnold;Gabi Kastenmüller;Rui Chang

  • Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort

    Li Shen;Sungeun Kim;Shannon L. Risacher;Kwangsik Nho

  • Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease

    Unknown

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology.

    Taylor W. Schmitz;R. Nathan Spreng;Michael W. Weiner;Paul Aisen

  • Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers.

    Kwangsik Nho;Alexandra Kueider-Paisley;Siamak MahmoudianDehkordi;Matthias Arnold

  • Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE

    Alzheimer's Disease Neuroimaging Initiative

  • Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans

    Andrew J. Saykin;Li Shen;Xiaohui Yao;Xiaohui Yao;Sungeun Kim

  • Genetic architecture of subcortical brain structures in 38,851 individuals

    Claudia L. Satizabal;Claudia L. Satizabal;Claudia L. Satizabal;Hieab H.H. Adams;Derrek Hibar;Charles C. White;Charles C. White

  • Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation

    Joshua C Bis;Xueqiu Jian;Brian W Kunkle;Yuning Chen

  • Predicting Alzheimer's disease progression using multi-modal deep learning approach

    Garam Lee;Kwangsik Nho;Byungkon Kang;Kyung-Ah Sohn

  • Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans

    Andrew J. Saykin;Li Shen;Xiaohui Yao;Sungeun Kim

Frequent Co-Authors

Shannon L. Risacher
Shannon L. Risacher Indiana University
Tatiana Foroud
Tatiana Foroud Indiana University
Michael W. Weiner
Michael W. Weiner University of California, San Francisco
John Q. Trojanowski
John Q. Trojanowski University of Pennsylvania
Arthur W. Toga
Arthur W. Toga University of Southern California
Clifford R. Jack
Clifford R. Jack Mayo Clinic
Liana G. Apostolova
Liana G. Apostolova Indiana University
Philip L. De Jager
Philip L. De Jager Columbia University
Paul M. Thompson
Paul M. Thompson University of Southern California
David A. Bennett
David A. Bennett Rush University Medical Center

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