Zvia Agur
- Modeling and Simulation top 0.1%
- Mathematical Biology Tumor Growth 33
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 12
- Cancer Cells and Metastasis 9
- Cancer Treatment and Pharmacology 7
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 8
- Immunology top 10%
- Immunotherapy and Immune Responses 9
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- Gene Regulatory Network Analysis 13
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- Microtubule and mitosis dynamics 8
- Co-authors
- Yuri KoganБ. В. ШульгинLewi StoneMoran ElishmereniVladimir VainsteinRoy M. AndersonYehuda L. DanonNatalie Kronik
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Oncology (5 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Zvia Agur
84 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 138
- Modeling and Simulation 1.4k
- Oncology 744
- Public Health, Environmental and Occupational Health 548
- Cancer Research 279
- Immunology 372
Countries citing papers authored by Zvia Agur
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
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
The 25 scholars most cited alongside Zvia Agur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2019 | 17 | |
| 3 | 2019 | 11 | |
| 4 | 2016 | 22 | |
| 5 | 2012 | 44 | |
| 6 | 2012 | 25 | |
| 7 | 2012 | 13 | |
| 8 | 2010 | 99 | |
| 9 | 2008 | 44 | |
| 10 | 2007 | 17 | |
| 11 | 2006 | 83 | |
| 12 | Using a Novel Computer Technology for Tailoring Targeted and Chemotherapeutic Drug Schedules to the Individual Patient | 2006 | 1 |
| 13 | Matrix and compact operator description of resonance and anti-resonance in-cell populations subjected to phase-specific drugs | 2004 | 1 |
| 14 | 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 | 2004 | 1 |
| 15 | 2000 | 219 | |
| 16 | 1998 | 121 | |
| 17 | 1993 | 16 | |
| 18 | Fixed Points of Majority R ule Cellular Automata with Application to Plasticity and Precision of the Immune System | 1991 | 19 |
| 19 | 1988 | 27 | |
| 20 | 1987 | 14 |
About Zvia Agur
Zvia Agur is a scholar working on Modeling and Simulation, Oncology and Immunology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (33 papers), Gene Regulatory Network Analysis (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Cancer Cells and Metastasis (9 papers), Immunotherapy and Immune Responses (9 papers), Microtubule and mitosis dynamics (8 papers), Cancer Genomics and Diagnostics (8 papers) and Cancer Treatment and Pharmacology (7 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Oncology (744 citations) and Public Health, Environmental and Occupational Health (548 citations). Zvia Agur has collaborated with scholars based in Israel, United States and United Kingdom. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.