Nima Aghaeepour

Nima Aghaeepour

Stanford University

H-index: 38

North America-United States

About Nima Aghaeepour

Nima Aghaeepour, With an exceptional h-index of 38 and a recent h-index of 33 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Artificial Intelligence, Systems Immunology, Data Integration, Wearable Devices.

His recent articles reflect a diverse array of research interests and contributions to the field:

Abstract TMP29: Plasma Proteomics Demonstrates Immune Dysregulation in Chronic Post-Stroke Fatigue

Discovery of sparse, reliable omic biomarkers with Stabl

60 Predicting chorioamnionitis using AI-based methods: a retrospective cohort study

Corrigendum: Advances and potential of omics studies for understanding the development of food allergy

Intra-and post-pandemic impact of the COVID-19 outbreak on Stanford Health Care

Abstract WP295: Blocking the VCAM1-VLA4 Axis Prevents Cognitive Decline in a Mouse Model of Infarct-Induced Neurodegeneration

An immune signature of postoperative cognitive decline in elderly patients

Correction: Digital health application integrating wearable data and behavioral patterns improves metabolic health

Nima Aghaeepour Information

University

Position

___

Citations(all)

7166

Citations(since 2020)

5564

Cited By

3522

hIndex(all)

38

hIndex(since 2020)

33

i10Index(all)

86

i10Index(since 2020)

78

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Nima Aghaeepour Skills & Research Interests

Machine Learning

Artificial Intelligence

Systems Immunology

Data Integration

Wearable Devices

Top articles of Nima Aghaeepour

Title

Journal

Author(s)

Publication Date

Abstract TMP29: Plasma Proteomics Demonstrates Immune Dysregulation in Chronic Post-Stroke Fatigue

Stroke

Alperen Aslan

Lei Xue

Michael Mlynash

Kristy Zera

Lauren Drag

...

2024/2

Discovery of sparse, reliable omic biomarkers with Stabl

Nature Biotechnology

Julien Hédou

Ivana Marić

Grégoire Bellan

Jakob Einhaus

Dyani K Gaudillière

...

2024/1/2

60 Predicting chorioamnionitis using AI-based methods: a retrospective cohort study

American Journal of Obstetrics & Gynecology

Anne R Waldrop

Tomin K James

Sanaa Suharwardy

Manual Studer

Alan Chang

...

2024/1/1

Corrigendum: Advances and potential of omics studies for understanding the development of food allergy

Frontiers in Allergy

Sayantani B Sindher

Andrew R Chin

Nima Aghaeepour

Lawrence Prince

Holden Maecker

...

2024/2/23

Intra-and post-pandemic impact of the COVID-19 outbreak on Stanford Health Care

Academic Pathology

Thanaphong Phongpreecha

Eloise Berson

Lei Xue

Sayane Shome

Geetha Saarunya

...

2024/4/1

Abstract WP295: Blocking the VCAM1-VLA4 Axis Prevents Cognitive Decline in a Mouse Model of Infarct-Induced Neurodegeneration

Stroke

Kristy A Zera

Karen Bradshaw

Oliver Hahn

Aulden Foltz

Li Zhu

...

2024/2

An immune signature of postoperative cognitive decline in elderly patients

bioRxiv

Franck Verdonk

Amelie Cambriel

Julien Hedou

Ed Ganio

Gregoire Bellan

...

2024

Correction: Digital health application integrating wearable data and behavioral patterns improves metabolic health

NPJ Digital Medicine

Ashkan Dehghani Zahedani

Tracey McLaughlin

Arvind Veluvali

Nima Aghaeepour

Amir Hosseinian

...

2024

Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights

Nature Aging

Alice S Tang

Katherine P Rankin

Gabriel Cerono

Silvia Miramontes

Hunter Mills

...

2024/2/21

Incidence of Coexisting Diseases in Adult Moyamoya Vasculopathy Patients by Racial Group at a Large American Referral Center

Journal of Neurosurgical Anesthesiology

Noah Wheaton

Natasha Harrison

Anthony Doufas

Dipro Chakraborty

Alan Lee Chang

...

2024/3/27

Large‐scale proteomics in the first trimester of pregnancy predict psychopathology and temperament in preschool children: an exploratory study

Journal of Child Psychology and Psychiatry

Jessica L Buthmann

Jonas G Miller

Nima Aghaeepour

Lucy S King

David K Stevenson

...

2024/1/29

Single-Cell Peripheral Immunoprofiling of Lewy Body Disease in a Multi-site Cohort

bioRxiv

Thanaphong Phongpreecha

Kavita Mathi

Brenna Cholerton

Eddie J Fox

Camilo Espinosa

...

2024

Multimodal machine learning for modeling infant head circumference, mothers’ milk composition, and their shared environment

Scientific Reports

Martin Becker

Kelsey Fehr

Stephanie Goguen

Kozeta Miliku

Catherine Field

...

2024/2/5

Predicting Preterm Birth Using Proteomics

Ivana Marić

David K Stevenson

Nima Aghaeepour

Brice Gaudillière

Ronald J Wong

...

2024/3/23

Proteins in Scalp Hair of Preschool Children

Psych

Cynthia R Rovnaghi

Kratika Singhal

Ryan D Leib

Maria Xenochristou

Nima Aghaeepour

...

2024/1/29

706 Insomnia in pregnancy: are hospitalized inpatients sleeping less than outpatients?

American Journal of Obstetrics & Gynecology

Danielle M Panelli

Hayley E Miller

Samantha L Simpson

Janet Hurtado

Chi-Hung Shu

...

2024/1/1

Air Pollution and Pregnancy: Insights into Immune Response, Histone Modifications, and Cytokine Signatures

Journal of Allergy and Clinical Immunology

Youn Soo Jung

Ji Won Ha

Juan Aguilera

Abhinav Kaushik

Stuart Cansdale

...

2024/2/1

Computational Approaches for Predicting Preterm Birth and Newborn Outcomes

David Seong

Camilo Espinosa

Nima Aghaeepour

2024/3/8

Abstract TP18: A 15-Minute Cognitive Screen Identifies Post-Stroke Cognitive Impairment

Stroke

Lauren Drag

Michael Mlynash

Muhith Musabbir

Amy Bradley

Maarten G Lansberg

...

2024/2

Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research

Cell Reports Medicine

Jonathan L Golob

Tomiko T Oskotsky

Alice S Tang

Alennie Roldan

Verena Chung

...

2024/1/16

See List of Professors in Nima Aghaeepour University(Stanford University)