Author

J. Nagy

Icahn School of Medicine at Mount Sinai

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Microbiology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

A. Imre· 1 shared A. K. Gombert· 1 shared A. Z. Wang· 1 shared Aaron F. Alexander‐BlochiD· 1 shared Adam MessingeriD· 1 shared Alexandre R. FrancoiD· 1 shared Andrew S. FoxiD· 1 shared Ang CheniD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperMicrobiology

A. Imre

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Brain Charts for the Rhesus Macaque Lifespan

Samuel Alldritt, J.S.B. Ramirez, Reinder Vos de Wael, Richard A. I. Bethlehem, Jakob Seidlitz, Z. Wang, Karl‐Heinz Nenning, Nathália Bianchini Esper, Jonny Smallwood, Alexandre R. Franco, Kyoungseob Byeon, Aaron F. Alexander‐Bloch, David G. Amaral, Céline Amiez, Fabien Balezeau, , KK Sharma

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

bioRxiv · Aug 28, 2024 · PreprintNeuroscience

How to characterize a strain? The neglected influence of clonal heterogeneity on the phenotypes of industrial Saccharomyces

H. V. Racz, F. Mukhtar, A. Imre, Z. Radai, A. K. Gombert, T. Ratonyi, J. Nagy, I. Pocsi, W. P. Pfliegler

This study shows that clonal heterogeneity in industrial yeast strains significantly affects phenotypes and performance, highlighting the impact of single-cell bottlenecks during strain isolation.

bioRxiv · Jul 19, 2020Microbiology

Prostate-Specific Antigen Dynamics Predict Individual Responses to Intermittent Androgen Deprivation

R. Brady, J. Nagy, T. Gerke, T. Zhang, A. Z. Wang, J. Zhang, R. Gatenby, H. Enderling

The paper uses mathematical models of prostate cancer stem cell dynamics to predict individual responses to intermittent androgen deprivation therapy based on prostate-specific antigen (PSA) measurements.

bioRxiv · May 2, 2019 · PreprintCancer Biology