Yuri Kogan

860 total citations
33 papers, 626 citations indexed

About

Yuri Kogan is a scholar working on Oncology, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Yuri Kogan has authored 33 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 18 papers in Modeling and Simulation and 12 papers in Molecular Biology. Recurrent topics in Yuri Kogan's work include Mathematical Biology Tumor Growth (18 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Cancer Cells and Metastasis (6 papers). Yuri Kogan is often cited by papers focused on Mathematical Biology Tumor Growth (18 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Cancer Cells and Metastasis (6 papers). Yuri Kogan collaborates with scholars based in Israel, Germany and United Kingdom. Yuri Kogan's co-authors include Zvia Agur, Natalie Kronik, Vladimir Vainstein, Moran Elishmereni, Stanimir Vuk‐Pavlović, Urszula Foryś, Yuri Kheifetz, Rebecca Lamb, Robert B. Clarke and Hannah Harrison and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Yuri Kogan

30 papers receiving 580 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuri Kogan Israel 14 362 317 248 162 97 33 626
Eliezer Shochat Switzerland 12 187 0.5× 234 0.7× 302 1.2× 73 0.5× 59 0.6× 17 588
Chang Gong United States 15 222 0.6× 324 1.0× 317 1.3× 189 1.2× 182 1.9× 27 762
Moran Elishmereni Israel 15 257 0.7× 245 0.8× 154 0.6× 301 1.9× 108 1.1× 20 753
Irina Kareva United States 16 171 0.5× 362 1.1× 307 1.2× 178 1.1× 235 2.4× 44 836
Morgan Craig Canada 16 184 0.5× 142 0.4× 234 0.9× 112 0.7× 72 0.7× 50 785
Amanda Tracz United States 10 222 0.6× 227 0.7× 283 1.1× 61 0.4× 182 1.9× 14 679
Natalie Kronik Israel 8 210 0.6× 182 0.6× 100 0.4× 120 0.7× 30 0.3× 8 322
S Michelson United States 13 192 0.5× 148 0.5× 170 0.7× 17 0.1× 145 1.5× 29 410
Nicole Kelly United States 4 90 0.2× 154 0.5× 251 1.0× 21 0.1× 167 1.7× 5 601
Christina M. Birch United States 6 60 0.2× 141 0.4× 309 1.2× 92 0.6× 159 1.6× 7 882

Countries citing papers authored by Yuri Kogan

Since Specialization
Citations

This map shows the geographic impact of Yuri Kogan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuri Kogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Kogan more than expected).

Fields of papers citing papers by Yuri Kogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuri Kogan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuri Kogan. The network helps show where Yuri Kogan may publish in the future.

Co-authorship network of co-authors of Yuri Kogan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Kogan. A scholar is included among the top collaborators of Yuri Kogan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuri Kogan. Yuri Kogan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beil, Michael, Rui P. Moreno, Jakub Fronczek, et al.. (2024). Prognosticating the outcome of intensive care in older patients—a narrative review. Annals of Intensive Care. 14(1). 97–97. 6 indexed citations
2.
Kogan, Yuri, et al.. (2022). Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19. Scientific Reports. 12(1). 19220–19220. 4 indexed citations
3.
Albrecht, Marco, Yuri Kogan, Dagmar Kulms, & Thomas Sauter. (2022). Mechanistically Coupled PK (MCPK) Model to Describe Enzyme Induction and Occupancy Dependent DDI of Dabrafenib Metabolism. Pharmaceutics. 14(2). 310–310. 1 indexed citations
4.
Kogan, Yuri, et al.. (2019). Response of patients with melanoma to immune checkpoint blockade – insights gleaned from analysis of a new mathematical mechanistic model. Journal of Theoretical Biology. 485. 110033–110033. 17 indexed citations
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6.
Kogan, Yuri, et al.. (2019). Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm. Journal of Translational Medicine. 17(1). 338–338. 13 indexed citations
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8.
Agur, Zvia, et al.. (2016). Employing dynamical computational models for personalizing cancer immunotherapy. Expert Opinion on Biological Therapy. 16(11). 1373–1385. 22 indexed citations
9.
Foryś, Urszula, Marek Bodnar, & Yuri Kogan. (2016). Asymptotic dynamics of some t-periodic one-dimensional model with application to prostate cancer immunotherapy. Journal of Mathematical Biology. 73(4). 867–883. 7 indexed citations
10.
Kogan, Yuri, et al.. (2012). Reconsidering the Paradigm of Cancer Immunotherapy by Computationally Aided Real-time Personalization. Cancer Research. 72(9). 2218–2227. 44 indexed citations
11.
Kronik, Natalie, Yuri Kogan, Paul G. Schlegel, & Matthias Wölfl. (2012). Improving T-cell Immunotherapy for Melanoma Through a Mathematically Motivated Strategy. Journal of Immunotherapy. 35(2). 116–124. 18 indexed citations
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Vainstein, Vladimir, et al.. (2011). Strategies for cancer stem cell elimination: Insights from mathematical modeling. Journal of Theoretical Biology. 298. 32–41. 34 indexed citations
14.
Kronik, Natalie, et al.. (2010). Predicting Outcomes of Prostate Cancer Immunotherapy by Personalized Mathematical Models. PLoS ONE. 5(12). e15482–e15482. 99 indexed citations
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16.
Kronik, Natalie, Yuri Kogan, Vladimir Vainstein, & Zvia Agur. (2007). Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics. Cancer Immunology Immunotherapy. 57(3). 425–439. 113 indexed citations
17.
Kheifetz, Yuri, Yuri Kogan, & Zvia Agur. (2006). LONG-RANGE PREDICTABILITY IN MODELS OF CELL POPULATIONS SUBJECTED TO PHASE-SPECIFIC DRUGS: GROWTH-RATE APPROXIMATION USING PROPERTIES OF POSITIVE COMPACT OPERATORS. Mathematical Models and Methods in Applied Sciences. 16(supp01). 1155–1172. 10 indexed citations
18.
Foryś, Urszula, Yuri Kheifetz, & Yuri Kogan. (2005). Critical-Point Analysis For Three-Variable Cancer Angiogenesis Models. Mathematical Biosciences & Engineering. 2(3). 511–525. 33 indexed citations
19.
Kogan, Yuri, et al.. (2004). Matrix and compact operator description of resonance and anti-resonance in-cell populations subjected to phase-specific drugs. Journal of Medical Informatics & Technologies. 8. 1 indexed citations
20.
Sengupta, S. K., et al.. (1988). New actinomycin D analogs as superior chemotherapeutic agents against primary and advanced colon tumors and colon xenografts in nude mice. Journal of Medicinal Chemistry. 31(4). 768–774. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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