Markus Covert

Markus Covert

Stanford University

H-index: 43

North America-United States

About Markus Covert

Markus Covert, With an exceptional h-index of 43 and a recent h-index of 35 (since 2020), a distinguished researcher at Stanford University, specializes in the field of whole-cell modeling, systems biology, live-cell imaging.

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

Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy

Cross-evaluation of E. coli’s operon structures via a whole-cell model suggests alternative cellular benefits for low-versus high-expressing operons

Cell biology is…

T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response

Context-dependent regulation of lipid accumulation in adipocytes by a HIF1α-PPARγ feedback network

The EcoCyc Database (2023)

Whole-cell modeling of E. coli confirms that in vitro tRNA aminoacylation measurements are insufficient to support cell growth and predicts a positive feedback …

Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in antibiotic responses

Markus Covert Information

University

Position

___

Citations(all)

13214

Citations(since 2020)

5073

Cited By

10179

hIndex(all)

43

hIndex(since 2020)

35

i10Index(all)

61

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Markus Covert Skills & Research Interests

whole-cell modeling

systems biology

live-cell imaging

Top articles of Markus Covert

Integrating multiplexed imaging and multiscale modeling identifies tumor phenotype conversion as a critical component of therapeutic T cell efficacy

bioRxiv

2023

Eran Agmon
Eran Agmon

H-Index: 8

Markus Covert
Markus Covert

H-Index: 32

Cross-evaluation of E. coli’s operon structures via a whole-cell model suggests alternative cellular benefits for low-versus high-expressing operons

Cell Systems

2024/2/22

T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response

Cell Reports

2023/12/26

Context-dependent regulation of lipid accumulation in adipocytes by a HIF1α-PPARγ feedback network

Cell Systems

2023/12/20

Whole-cell modeling of E. coli confirms that in vitro tRNA aminoacylation measurements are insufficient to support cell growth and predicts a positive feedback …

Nucleic Acids Research

2023/7/7

Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in antibiotic responses

PLOS Computational Biology

2023/6/16

An optimized reporter of the transcription factor hypoxia-inducible factor 1α reveals complex HIF-1α activation dynamics in single cells

Journal of Biological Chemistry

2023/4/1

An expanded whole-cell model of E. coli links cellular physiology with mechanisms of growth rate control

NPJ Systems Biology and Applications

2022/8/19

A dynamic HIF1α-PPARγ circuit controls a paradoxical adipocyte regulatory landscape

bioRxiv

2022/5/18

A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens

Cell Systems

2022/5/18

Vivarium: an interface and engine for integrative multiscale modeling in computational biology

Bioinformatics

2022/4/1

Building structural models of a whole mycoplasma cell

Journal of molecular biology

2022/1/30

The E. coli whole-cell modeling project

2021/12/31

Supplementary Materials for Vivarium: an interface and engine for integrative multiscale modeling in computational biology

2021/12/13

180 T cell phenotype drives restructuring of tumor microenvironment to balance T cell longevity and tumor control: insights from multiplexed imaging and multi-scale agent based …

2021/11/1

A forecast for large-scale, predictive biology: Lessons from meteorology

2021/6/16

The enemy of my enemy: new insights regarding bacteriophage–mammalian cell interactions

2020/11/23

See List of Professors in Markus Covert University(Stanford University)

Co-Authors

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