Gloria Coruzzi

Carroll & Milton Petrie Professor, NYU Biology (Chair 2003-2011)

New York University

United States

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Gloria Coruzzi is the Carroll & Milton Petrie Professor at New York University in the Department of Biology, where she served as Chair from 2003 to 2011. Her research focuses on nitrogen use efficiency, regulatory networks in nitrogen sensing, and the dynamic cellular responses to environmental cues. Recent articles highlight her work on enhancing machine learning predictions of nitrogen use efficiency and validating regulatory networks in plant biology.

Articles (13)

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2025

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2023

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2022

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2021

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2021

Collaborators (7)

Philip N. Benfey

Duke University

UNITED STATES

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Joseph Ecker

Howard Hughes Medical Institute

UNITED STATES

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Gabriel Krouk

CNRS Délégation Languedoc-Roussillon

FRANCE

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Erin Sparks

Assistant Professor

University of Delaware

UNITED STATES

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Kathleen Greenham

Assistant Professor

University of Minnesota

UNITED STATES

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Sandrine Ruffel

University of Montpellier

FRANCE

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C. Robertson McClung

Professor

Dartmouth College

UNITED STATES

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Gloria Coruzzi

Research Interests

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Articles (13)

Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency

Nitrogen sensing and regulatory networks: it's about time and space

Remembering Philip N. Benfey: A visionary pioneer in plant biology and mentor extraordinaire

The biology of time: dynamic responses of cell types to developmental, circadian and environmental cues

The biology of time: dynamic responses of cell types to developmental, circadian and environmental cues

Spatiotemporal analysis identifies ABF2 and ABF3 as key hubs of endodermal response to nitrate

Spatiotemporal analysis identifies ABF2 and ABF3 as key hubs of endodermal response to nitrate

Validation of a high-confidence regulatory network for gene-to-NUE phenotype in field-grown rice

ConnecTF: A platform to integrate transcription factor–gene interactions and validate regulatory networks

ConnecTF: A platform to integrate transcription factor-gene interactions and validate regulatory networks

Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships

GARP transcription factors repress Arabidopsis nitrogen starvation response via ROS-dependent and -independent pathways

Plant ecological genomics at the limits of life in the Atacama Desert

Collaborators (7)

Philip N. Benfey

Joseph Ecker

Gabriel Krouk

Erin Sparks

Kathleen Greenham

Sandrine Ruffel

C. Robertson McClung

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