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Yuri Kogan

Observed names: Y. KOGAN, Y. Kogan
ORCID: 0000-0002-1104-4338
Observed ORCID: 0000-0002-1104-4338
OpenAlex ID: A5068834934
Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics
2007 · Natalie Kronik, Yuri Kogan, et al. · Cancer Immunology Immunotherapy · 138
Predicting Outcomes of Prostate Cancer Immunotherapy by Personalized Mathematical Models
2010 · Natalie Kronik, Yuri Kogan, et al. · PLoS ONE · 123
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Reconsidering the Paradigm of Cancer Immunotherapy by Computationally Aided Real-time Personalization
2012 · Yuri Kogan, Karin Halevi–Tobias, et al. · Cancer Research · 54
Strategies for cancer stem cell elimination: Insights from mathematical modeling
2011 · Vladimir Vainstein, Oleg U. Kirnasovsky, et al. · Journal of Theoretical Biology · 48
Disruption of a Quorum Sensing mechanism triggers tumorigenesis: a simple discrete model corroborated by experiments in mammary cancer stem cells
2010 · Zvia Agur, Yuri Kogan, et al. · Biology Direct · 47
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Cellular Immunotherapy for High Grade Gliomas: Mathematical Analysis Deriving Efficacious Infusion Rates Based on Patient Requirements
2010 · Yuri Kogan, Urszula Foryś, et al. · SIAM Journal on Applied Mathematics · 42
Critical-Point Analysis For Three-Variable Cancer Angiogenesis Models
2005 · Urszula Foryś, Yuri Kheifetz, et al. · Mathematical Biosciences & Engineering · 41
A new validated mathematical model of the Wnt signalling pathway predicts effective combinational therapy by sFRP and Dkk
2012 · Yuri Kogan, Karin E. Halevi-Tobias, et al. · Biochemical Journal · 39
Dickkopf1 Regulates Fate Decision and Drives Breast Cancer Stem Cells to Differentiation: An Experimentally Supported Mathematical Model
2011 · Zvia Agur, Oleg U. Kirnasovsky, et al. · PLoS ONE · 33
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A mathematical model for the immunotherapeutic control of the Th1/Th2 imbalance in melanoma
2013 · Yuri Kogan, Zvia Agur, et al. · Discrete and Continuous Dynamical Systems - B · 31
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Employing dynamical computational models for personalizing cancer immunotherapy
2016 · Zvia Agur, Karin Halevi-Tobias, et al. · Expert Opinion on Biological Therapy · 30
Prognosticating the outcome of intensive care in older patients—a narrative review
2024 · Michael Beil, Rui Moreno, et al. · Annals of Intensive Care · 29
Accelerating the Development of Personalized Cancer Immunotherapy by Integrating Molecular Patients’ Profiles with Dynamic Mathematical Models
2020 · Zvia Agur, Moran Elishmereni, et al. · Clinical Pharmacology & Therapeutics · 28
Response of patients with melanoma to immune checkpoint blockade – insights gleaned from analysis of a new mathematical mechanistic model
2019 · N. Tsur, Y. Kogan, et al. · Journal of Theoretical Biology · 26
Improving T-cell Immunotherapy for Melanoma Through a Mathematically Motivated Strategy
2012 · Natalie Kronik, Yuri Kogan, et al. · Journal of Immunotherapy · 26
Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm
2019 · Neta Tsur, Yuri Kogan, et al. · Journal of Translational Medicine · 18
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Personal response to immune checkpoint inhibitors of patients with advanced melanoma explained by a computational model of cellular immunity, tumor growth, and drug
2019 · D. Perlstein, O. Shlagman, et al. · PLoS ONE · 17
Long-range Predictability in Models of Cell Populations Subjected to Phase-specific Drugs: Growth-rate Approximation Using Properties of Positive Compact Operators
2006 · Y. KHEIFETZ, Y. KOGAN, et al. · Mathematical Models and Methods in Applied Sciences · 17
Multi-Scale Analysis of Angiogenic Dynamics and Therapy
2003 · Levon Arakelyan, Yifat Merbl, et al. · Chapman & Hall/CRC mathematical and computational biology series · 17
Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics
2007 · Natalie Kronik, Yuri Kogan, et al. · Cancer Immunology Immunotherapy · 10
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Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis
2006 · V. Vainstein, Y. Ginosar, et al. · Mathematical Modelling of Natural Phenomena · 10
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Asymptotic dynamics of some t-periodic one-dimensional model with application to prostate cancer immunotherapy
2016 · U. Foryś, M. Bodnar, et al. · Journal of Mathematical Biology · 8
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Analysis of a Mathematical Model for the Molecular Mechanism of Fate Decision in Mammary Stem Cells
2008 · O. U. Kirnasovsky, Y. Kogan, et al. · Mathematical Modelling of Natural Phenomena · 8
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Resilience in stem cell renewal: development of the Agur--Daniel--Ginosar model
2008 · Oleg U. Kirnasovsky, Yuri Kogan, et al. · Discrete and Continuous Dynamical Systems - B · 6
Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19
2022 · Yuri Kogan, Ari Robinson, et al. · Scientific Reports · 5
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Works count: 47
Citation count: 875
H-index: 17
I10-index: 21
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