Sergio Baranzini

Sergio Baranzini

University of California, San Francisco

H-index: 70

North America-United States

About Sergio Baranzini

Sergio Baranzini, With an exceptional h-index of 70 and a recent h-index of 52 (since 2020), a distinguished researcher at University of California, San Francisco, specializes in the field of Genetics, Immunology, microbiome, informatics.

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

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

An autoantibody signature predictive for multiple sclerosis

Commentary: What doesn’t kill you makes you stronger... or does it?

Regulatory Potential of Sub-significant GWAS Signals for MS Progression (S17. 005)

P720: Single cell RNA-Seq in zebrafish foxe3 crispants shows significant dysregulation of cdon

Synaptic injury in the inner plexiform layer of the retina is associated with progression in multiple sclerosis

Short‐chain fatty acid producers in the gut are associated with pediatric multiple sclerosis onset

Multiple sclerosis endophenotypes identified by high-dimensional blood signatures are associated with distinct disease trajectories

Sergio Baranzini Information

University

Position

___

Citations(all)

26071

Citations(since 2020)

11849

Cited By

18872

hIndex(all)

70

hIndex(since 2020)

52

i10Index(all)

156

i10Index(since 2020)

125

Email

University Profile Page

University of California, San Francisco

Google Scholar

View Google Scholar Profile

Sergio Baranzini Skills & Research Interests

Genetics

Immunology

microbiome

informatics

Top articles of Sergio Baranzini

Title

Journal

Author(s)

Publication Date

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

An autoantibody signature predictive for multiple sclerosis

Nature Medicine

Colin R Zamecnik

Gavin M Sowa

Ahmed Abdelhak

Ravi Dandekar

Rebecca D Bair

...

2024/4/19

Commentary: What doesn’t kill you makes you stronger... or does it?

Multiple Sclerosis Journal

Sergio E Baranzini

Jennifer S Graves

2024/2/17

Regulatory Potential of Sub-significant GWAS Signals for MS Progression (S17. 005)

Gabriel Cerono

Sergio Baranzini

2024/4/14

P720: Single cell RNA-Seq in zebrafish foxe3 crispants shows significant dysregulation of cdon

Genetics in Medicine Open

Madison Moe

Supriya Sharma

Stephanie Htun

Yihui Sun

Sergio Baranzini

...

2024/1/1

Synaptic injury in the inner plexiform layer of the retina is associated with progression in multiple sclerosis

Cell Reports Medicine

Christian Cordano

Sebastian Werneburg

Ahmed Abdelhak

Daniel J Bennett

Alexandra Beaudry-Richard

...

2024/4/3

Short‐chain fatty acid producers in the gut are associated with pediatric multiple sclerosis onset

Annals of Clinical and Translational Neurology

Vinicius A Schoeps

Xiaoyuan Zhou

Mary K Horton

Feng Zhu

Kathryn E McCauley

...

2024/1

Multiple sclerosis endophenotypes identified by high-dimensional blood signatures are associated with distinct disease trajectories

Science Translational Medicine

Catharina C Gross

Andreas Schulte-Mecklenbeck

Olga V Steinberg

Timo Wirth

Sarah Lauks

...

2024/3/27

Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans

Brain

Hengameh Shams

Xiaorong Shao

Adam Santaniello

Gina Kirkish

Adil Harroud

...

2023/2/1

Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes

Communications biology

Qin Ma

Hengameh Shams

Alessandro Didonna

Sergio E Baranzini

Bruce AC Cree

...

2023/3/30

Predictive Modeling Leveraging Electronic Health Records Identifies Early Predictors of Alzheimer’s Disease

Alzheimer's & Dementia

Alice S Tang

Katherine P Rankin

Gabriel Cerano

Silvia Miramontes

Hunter Mills

...

2023/12

An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges

Journal of Clinical and Translational Science

Karamarie Fecho

Chris Bizon

Tursynay Issabekova

Sierra Moxon

Anne E Thessen

...

2023/1

Leveraging Electronic Medical Records and Knowledge Networks to Predict Disease Onset and Gain Biological Insight Into Alzheimer’s Disease

medRxiv

Alice Tang

Katherine P Rankin

Gabriel Cerono

Silvia Miramontes

Hunter Mills

...

2023/3/19

Biomedical knowledge graph-enhanced prompt generation for large language models

arXiv preprint arXiv:2311.17330

Karthik Soman

Peter W Rose

John H Morris

Rabia E Akbas

Brett Smith

...

2023/11/29

Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect disease activity in multiple sclerosis

medRxiv

Tanuja Chitnis

Ferhan Qureshi

Victor M Gehman

Michael Becich

Riley Bove

...

2023

Biological research and self-driving labs in deep space supported by artificial intelligence

Lauren M Sanders

Ryan T Scott

Jason H Yang

Amina Ann Qutub

Hector Garcia Martin

...

2023/3

A predictive autoantibody signature in multiple sclerosis

medRxiv

Colin R Zamecnik

Gavin M Sowa

Ahmed Abdelhak

Ravi Dandekar

Rebecca D Bair

...

2023/5/15

Biomonitoring and precision health in deep space supported by artificial intelligence

Ryan T Scott

Lauren M Sanders

Erik L Antonsen

Jaden JA Hastings

Seung-min Park

...

2023/3

Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph

Frontiers in Medicine

Karthik Soman

Charlotte A Nelson

Gabriel Cerono

Samuel M Goldman

Sergio E Baranzini

...

2023/5/12

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Bioinformatics

John H Morris

Karthik Soman

Rabia E Akbas

Xiaoyuan Zhou

Brett Smith

...

2023/2/1

See List of Professors in Sergio Baranzini University(University of California, San Francisco)

Co-Authors

H-index: 234
Rob Knight

Rob Knight

University of California, San Diego

H-index: 141
lawrence steinman

lawrence steinman

Stanford University

H-index: 124
Stephen L. Hauser

Stephen L. Hauser

University of California, San Francisco

H-index: 109
David Rowitch

David Rowitch

University of California, San Francisco

H-index: 79
Sarkis K. Mazmanian

Sarkis K. Mazmanian

California Institute of Technology

H-index: 74
Roland G. Henry

Roland G. Henry

University of California, San Francisco

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