Natalie Kronik

407 total citations
8 papers, 322 citations indexed

About

Natalie Kronik is a scholar working on Oncology, Modeling and Simulation and Immunology. According to data from OpenAlex, Natalie Kronik has authored 8 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Modeling and Simulation and 2 papers in Immunology. Recurrent topics in Natalie Kronik's work include Cancer Immunotherapy and Biomarkers (6 papers), Mathematical Biology Tumor Growth (6 papers) and CAR-T cell therapy research (3 papers). Natalie Kronik is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Mathematical Biology Tumor Growth (6 papers) and CAR-T cell therapy research (3 papers). Natalie Kronik collaborates with scholars based in Israel, Switzerland and Germany. Natalie Kronik's co-authors include Yuri Kogan, Zvia Agur, Vladimir Vainstein, Stanimir Vuk‐Pavlović, Moran Elishmereni, Svetlana Bunimovich‐Mendrazitsky, Sarel Halachmi, Urszula Foryś, Matthias Wölfl and Paul G. Schlegel and has published in prestigious journals such as PLoS ONE, SIAM Journal on Applied Mathematics and Cancer Immunology Immunotherapy.

In The Last Decade

Natalie Kronik

8 papers receiving 300 citations

Peers

Natalie Kronik

MS

ONCOL

IMMUN

MB

PHEOH

Romica Kerketta United States

Kadi Lõhmussaar Netherlands

Epifanio Ruiz United States

P. Andy Futreal United Kingdom

Eike‐Gert Achilles Germany

Michelle Dietzen United Kingdom

Vladimíra Koudeláková Czechia

Floriane Noël France

Cindy Cavelier France

Iris Nederlof Netherlands

Romica Kerketta United States

Natalie Kronik

127 ×0.6

MS

124 ×0.7

ONCOL

92 ×0.8

IMMUN

120 ×1.2

MB

16 ×0.4

PHEOH

Citations per year, relative to Natalie Kronik Natalie Kronik (= 1×) peers Romica Kerketta

Countries citing papers authored by Natalie Kronik

Since Specialization

Citations

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

Fields of papers citing papers by Natalie Kronik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Kronik

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Kronik. A scholar is included among the top collaborators of Natalie Kronik 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 Natalie Kronik. Natalie Kronik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Levin, Anat Globerson, et al.. (2020). Less is more: reducing the number of administered chimeric antigen receptor T cells in a mouse model using a mathematically guided approach. Cancer Immunology Immunotherapy. 69(7). 1165–1175. 11 indexed citations

2.

Bunimovich‐Mendrazitsky, Svetlana, Natalie Kronik, & Vladimir Vainstein. (2018). Optimization of Interferon–Alpha and Imatinib Combination Therapy for Chronic Myeloid Leukemia: A Modeling Approach. Advanced Theory and Simulations. 2(1). 8 indexed citations

3.

Bunimovich‐Mendrazitsky, Svetlana, Sarel Halachmi, & Natalie Kronik. (2015). Improving Bacillus Calmette-Guérin (BCG) immunotherapy for bladder cancer by adding interleukin 2 (IL-2): a mathematical model. Mathematical Medicine and Biology A Journal of the IMA. 33(2). 159–188. 29 indexed citations

4.

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

5.

Kronik, Natalie, et al.. (2010). Predicting Outcomes of Prostate Cancer Immunotherapy by Personalized Mathematical Models. PLoS ONE. 5(12). e15482–e15482. 99 indexed citations

6.

Kogan, Yuri, et al.. (2010). Cellular Immunotherapy for High Grade Gliomas: Mathematical Analysis Deriving Efficacious Infusion Rates Based on Patient Requirements. SIAM Journal on Applied Mathematics. 70(6). 1953–1976. 36 indexed citations

7.

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

8.

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). 441–441. 8 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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