World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
17657
World Ranking
10065
National Ranking
4403

Overview

Kristen J. Brennand is affiliated with the Icahn School of Medicine at Mount Sinai in the United States. Their research primarily spans the fields of biochemistry, genetics, and molecular biology, with notable contributions to molecular biology, genetics, cognitive neuroscience, neurology, and cellular and molecular neuroscience.

The scientist's work covers several main topics, including:

  • CRISPR and Genetic Engineering
  • Bioinformatics and Genomic Networks
  • Genomics and Chromatin Dynamics
  • Genetic Associations and Epidemiology
  • Single-cell and Spatial Transcriptomics
  • Pluripotent Stem Cells Research
  • Epigenetics and DNA Methylation

Selected recent publications showcase a focus on brain research and neurogenomics. These include:

  • Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions, 2020, Scientific Data
  • A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles, 2020, Nature Neuroscience
  • Molecular subtyping of Alzheimer's disease using RNA sequencing data reveals novel mechanisms and targets, 2021, Science Advances
  • Transformative Network Modeling of Multi-omics Data Reveals Detailed Circuits, Key Regulators, and Potential Therapeutics for Alzheimer's Disease, 2020, Neuron
  • A psychiatric disease-related circular RNA controls synaptic gene expression and cognition, 2020, Molecular Psychiatry

Kristen J. Brennand frequently publishes alongside the following co-authors:

  • Schahram Akbarian
  • Daniel H. Geschwind
  • Raquel E. Gur
  • Joel Gelernter
  • Elisabeth B. Binder

Most of their work appears in established scientific venues, with multiple publications in:

  • Biological Psychiatry
  • bioRxiv (Cold Spring Harbor Laboratory)
  • European Neuropsychopharmacology
  • Science
  • Nature Neuroscience

Best Publications

  • Modelling schizophrenia using human induced pluripotent stem cells.

    Kristen J. Brennand;Anthony Simone;Jessica Jou;Chelsea Gelboin-Burkhart

  • Gene expression elucidates functional impact of polygenic risk for schizophrenia

    Menachem Fromer;Panos Roussos;Solveig K. Sieberts;Jessica S. Johnson

  • Identification of small-molecule inhibitors of Zika virus infection and induced neural cell death via a drug repurposing screen

    Miao Xu;Emily M. Lee;Zhexing Wen;Yichen Cheng

  • Reprogramming of Pancreatic β Cells into Induced Pluripotent Stem Cells

    Matthias Stadtfeld;Kristen Brennand;Kristen Brennand;Konrad Hochedlinger

  • An Efficient Platform for Astrocyte Differentiation from Human Induced Pluripotent Stem Cells

    Julia Tcw;Minghui Wang;Anna A. Pimenova;Kathryn R. Bowles

  • Phenotypic differences in hiPSC NPCs derived from patients with schizophrenia

    K. Brennand;K. Brennand;J. N. Savas;Y. Kim;N. Tran;N. Tran

  • Altered proliferation and networks in neural cells derived from idiopathic autistic individuals

    Maria C Marchetto;Haim Belinson;Yuan Tian;Beatriz C Freitas

  • Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease

    Minghui Wang;Panos Roussos;Andrew McKenzie;Xianxiao Zhou

  • Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions.

    S K Sieberts;T M Perumal;M M Carrasquillo;M Allen

  • Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets

    Ryan A. Neff;Minghui Wang;Sezen Vatansever;Lei Guo

  • Modeling Hippocampal Neurogenesis Using Human Pluripotent Stem Cells

    Diana Xuan Yu;Francesco Paolo Di Giorgio;Jun Yao;Maria Carolina Marchetto

  • All β Cells Contribute Equally to Islet Growth and Maintenance

    Kristen Brennand;Danwei Huangfu;Danwei Huangfu;Douglas Melton;Douglas Melton

  • A Role for Noncoding Variation in Schizophrenia

    Panos Roussos;Amanda C. Mitchell;Georgios Voloudakis;John F. Fullard

  • Synergistic effects of common schizophrenia risk variants.

    Nadine Schrode;Seok-Man Ho;Kazuhiko Yamamuro;Amanda Dobbyn

  • A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles

    Nancy Y. A. Sey;Benxia Hu;Won Mah;Harper Fauni

  • High-Content Screening in hPSC-Neural Progenitors Identifies Drug Candidates that Inhibit Zika Virus Infection in Fetal-like Organoids and Adult Brain

    Ting Zhou;Lei Tan;Gustav Y. Cederquist;Yujie Fan

  • Induced pluripotent stem cells (iPSCs) and neurological disease modeling: progress and promises

    Maria C. Marchetto;Kristen J. Brennand;Leah F. Boyer;Fred H. Gage

  • Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk.

    Prashanth Rajarajan;Tyler Borrman;Will Liao;Nadine Schrode

  • Cerebral organoids reveal early cortical maldevelopment in schizophrenia-computational anatomy and genomics, role of FGFR1.

    E. K. Stachowiak;C. A. Benson;S. T. Narla;A. Dimitri;A. Dimitri

  • Investigating synapse formation and function using human pluripotent stem cell-derived neurons

    Ji-Eun Kim;Matthew L. O'Sullivan;Christopher A. Sanchez;Minju Hwang

Frequent Co-Authors

Fred H. Gage
Fred H. Gage Salk Institute for Biological Studies
Schahram Akbarian
Schahram Akbarian Icahn School of Medicine at Mount Sinai
John R. Kelsoe
John R. Kelsoe University of California, San Diego
Panos Roussos
Panos Roussos Icahn School of Medicine at Mount Sinai
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai
Caroline M. Nievergelt
Caroline M. Nievergelt University of California, San Diego
Eric E. Schadt
Eric E. Schadt Icahn School of Medicine at Mount Sinai
Pamela Sklar
Pamela Sklar Icahn School of Medicine at Mount Sinai
Douglas M. Ruderfer
Douglas M. Ruderfer Vanderbilt University Medical Center
Judith L. Rapoport
Judith L. Rapoport National Institutes of Health

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