Zvia Agur

3.7k total citations
90 papers, 2.6k citations indexed

About

Zvia Agur is a scholar working on Molecular Biology, Modeling and Simulation and Oncology. According to data from OpenAlex, Zvia Agur has authored 90 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 35 papers in Modeling and Simulation and 32 papers in Oncology. Recurrent topics in Zvia Agur's work include Mathematical Biology Tumor Growth (33 papers), Gene Regulatory Network Analysis (13 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Zvia Agur is often cited by papers focused on Mathematical Biology Tumor Growth (33 papers), Gene Regulatory Network Analysis (13 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Zvia Agur collaborates with scholars based in Israel, United States and United Kingdom. Zvia Agur's co-authors include Yuri Kogan, Б. В. Шульгин, Lewi Stone, Moran Elishmereni, Vladimir Vainstein, Roy M. Anderson, Yehuda L. Danon, Natalie Kronik, Deborah R. Hart and Eliezer Shochat and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Zvia Agur

84 papers receiving 2.3k citations

Peers

Zvia Agur
L. G. de Pillis United States
Alberto d’Onofrio Italy
Ami Radunskaya United States
Raluca Eftimie United Kingdom
Urszula Ledzewicz United States
Daniel Coombs Canada
Vladimir A. Kuznetsov Singapore
K. Renee Fister United States
Marek Kimmel United States
Dominik Wodarz United States
L. G. de Pillis United States
Zvia Agur
Citations per year, relative to Zvia Agur Zvia Agur (= 1×) peers L. G. de Pillis

Countries citing papers authored by Zvia Agur

Since Specialization
Citations

This map shows the geographic impact of Zvia Agur'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 Zvia Agur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zvia Agur more than expected).

Fields of papers citing papers by Zvia Agur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zvia Agur. 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 Zvia Agur. The network helps show where Zvia Agur may publish in the future.

Co-authorship network of co-authors of Zvia Agur

This figure shows the co-authorship network connecting the top 25 collaborators of Zvia Agur. A scholar is included among the top collaborators of Zvia Agur 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 Zvia Agur. Zvia Agur 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.
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
2.
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
3.
4.
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
5.
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
6.
Vainstein, Vladimir, et al.. (2012). Analyzing transformation of myelodysplastic syndrome to secondary acute myeloid leukemia using a large patient database. American Journal of Hematology. 87(9). 853–860. 25 indexed citations
7.
Agur, Zvia & Stanimir Vuk‐Pavlović. (2012). Personalizing immunotherapy. OncoImmunology. 1(7). 1169–1171. 13 indexed citations
8.
Kronik, Natalie, et al.. (2010). Predicting Outcomes of Prostate Cancer Immunotherapy by Personalized Mathematical Models. PLoS ONE. 5(12). e15482–e15482. 99 indexed citations
9.
10.
Cappuccio, Antonio, Moran Elishmereni, & Zvia Agur. (2007). Optimization of interleukin-21 immunotherapeutic strategies. Journal of Theoretical Biology. 248(2). 259–266. 17 indexed citations
11.
Cappuccio, Antonio, Moran Elishmereni, & Zvia Agur. (2006). Cancer Immunotherapy by Interleukin-21: Potential Treatment Strategies Evaluated in a Mathematical Model. Cancer Research. 66(14). 7293–7300. 83 indexed citations
12.
Agur, Zvia, et al.. (2006). Using a Novel Computer Technology for Tailoring Targeted and Chemotherapeutic Drug Schedules to the Individual Patient. Clinical Cancer Research. 12. 1 indexed citations
13.
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
14.
Ribba, Benjamin, et al.. (2004). The use of hybrid cellular automaton models for improving cancer therapy, In Proceedings, Cellular Automata: 6th International Conference on Cellular Automata for Research and Industry, ACRI 2004, Amsterdam, The Netherlands, eds P.M.A. Sloot, B. Chopard, A.G. Hoekstra. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
15.
Stone, Lewi, Б. В. Шульгин, & Zvia Agur. (2000). Theoretical examination of the pulse vaccination policy in the SIR epidemic model. Mathematical and Computer Modelling. 31(4-5). 207–215. 219 indexed citations
16.
Hart, Deborah R., Eliezer Shochat, & Zvia Agur. (1998). The growth law of primary breast cancer as inferred from mammography screening trials data. British Journal of Cancer. 78(3). 382–387. 121 indexed citations
17.
Agur, Zvia, et al.. (1993). Measles immunization strategies for an epidemiologically heterogeneous population: the Israeli case study. Proceedings of the Royal Society B Biological Sciences. 252(1334). 81–84. 16 indexed citations
18.
Agur, Zvia. (1991). Fixed Points of Majority R ule Cellular Automata with Application to Plasticity and Precision of the Immune System. Complex Systems. 5. 19 indexed citations
19.
Agur, Zvia, Aviezri S. Fraenkel, & Shmuel T. Klein. (1988). The number of fixed points of the majority rule. Discrete Mathematics. 70(3). 295–302. 27 indexed citations
20.
Agur, Zvia. (1987). Resilience and Variability in Pathogens and Hosts. Mathematical Medicine and Biology A Journal of the IMA. 4(4). 295–307. 14 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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