Ami Radunskaya

3.1k total citations
47 papers, 2.2k citations indexed

About

Ami Radunskaya is a scholar working on Molecular Biology, Modeling and Simulation and Immunology. According to data from OpenAlex, Ami Radunskaya has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Modeling and Simulation and 10 papers in Immunology. Recurrent topics in Ami Radunskaya's work include Mathematical Biology Tumor Growth (13 papers), Gene Regulatory Network Analysis (8 papers) and Immunotherapy and Immune Responses (7 papers). Ami Radunskaya is often cited by papers focused on Mathematical Biology Tumor Growth (13 papers), Gene Regulatory Network Analysis (8 papers) and Immunotherapy and Immune Responses (7 papers). Ami Radunskaya collaborates with scholars based in United States, New Zealand and Australia. Ami Radunskaya's co-authors include L. G. de Pillis, Charles L. Wiseman, Wenling Gu, Minaya Villasana, Amina Eladdadi, Trachette L. Jackson, Timothy A. Woods, Dann Mallet, Johanna Hardin and Yuan Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Ami Radunskaya

45 papers receiving 2.0k citations

Peers

Ami Radunskaya
L. G. de Pillis United States
Zvia Agur Israel
Raluca Eftimie United Kingdom
Trachette L. Jackson United States
Urszula Ledzewicz United States
Heiko Enderling United States
Katarzyna A. Rejniak United States
Paul Macklin United States
L. G. de Pillis United States
Ami Radunskaya
Citations per year, relative to Ami Radunskaya Ami Radunskaya (= 1×) peers L. G. de Pillis

Countries citing papers authored by Ami Radunskaya

Since Specialization
Citations

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

Fields of papers citing papers by Ami Radunskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ami Radunskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Ami Radunskaya. A scholar is included among the top collaborators of Ami Radunskaya 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 Ami Radunskaya. Ami Radunskaya 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.
Lee, Emily M., et al.. (2024). To Open or Not to Open: Developing a COVID-19 Model Specific to Small Residential Campuses. Scholarship @ Claremont (The Claremont Colleges). 17(1). 1–36.
2.
Tucker, Ian G., et al.. (2022). Modeling the interaction of polymeric nanoparticles functionalized with cell penetrating peptides at the nano-bio interface. Colloids and Surfaces B Biointerfaces. 217. 112626–112626. 2 indexed citations
3.
Moore, Sharon, Ami Radunskaya, Kathleen A. Grant, et al.. (2022). Pairing food and drink: A physiological model of blood ethanol levels for a variety of drinking behaviors. Mathematical Biosciences. 345. 108778–108778. 4 indexed citations
4.
Radunskaya, Ami, et al.. (2022). Introduction of Plasmid to the Murine Gut via Consumption of an Escherichia coli Carrier and Examining the Impact of Bacterial Dosing and Antibiotics on Persistence. Regenerative Engineering and Translational Medicine. 8(3). 489–497. 2 indexed citations
5.
Wares, Joanna R., et al.. (2021). Predicting the impact of placing an overdose prevention site in Philadelphia: a mathematical modeling approach. Harm Reduction Journal. 18(1). 110–110. 2 indexed citations
6.
Radunskaya, Ami, et al.. (2020). Using noise to stochastically enhance the resolution of charge coupled device based thermoreflectance imaging. Journal of Applied Physics. 128(10). 3 indexed citations
7.
Moore, Sharon, et al.. (2019). Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption. Frontiers in Applied Mathematics and Statistics. 5. 3 indexed citations
8.
Cho, Heyrim, et al.. (2018). Modelling acute myeloid leukaemia in a continuum of differentiation states. SHILAP Revista de lepidopterología. 5(sup1). S69–S98. 10 indexed citations
9.
Pan, Yuan, et al.. (2018). Variability of Betweenness Centrality and Its Effect on Identifying Essential Genes. Bulletin of Mathematical Biology. 81(9). 3655–3673. 19 indexed citations
10.
Eladdadi, Amina, et al.. (2014). Modeling cancer-immune responses to therapy. Journal of Pharmacokinetics and Pharmacodynamics. 41(5). 461–478. 62 indexed citations
11.
Heller, Gabriella T., et al.. (2014). Accounting for unintended binding events in the analysis of quartz crystal microbalance kinetic data. Colloids and Surfaces B Biointerfaces. 117. 425–431. 1 indexed citations
12.
Radunskaya, Ami, et al.. (2013). A Model of Dendritic Cell Therapy for Melanoma. Frontiers in Oncology. 3. 56–56. 51 indexed citations
13.
Morgens, David W., et al.. (2013). A Model for the Evolution of Extremely Fragmented Macronuclei in Ciliates. PLoS ONE. 8(5). e64997–e64997. 8 indexed citations
14.
Radunskaya, Ami, et al.. (2012). Kinetics of bile salt binding to liposomes revealed by carboxyfluorescein release and mathematical modeling. Journal of Liposome Research. 22(3). 237–244. 4 indexed citations
15.
Pillis, L. G. de & Ami Radunskaya. (2012). Best Practices in Mathematical Modeling. Methods in molecular biology. 929. 51–74. 5 indexed citations
16.
Pillis, L. G. de, Ami Radunskaya, & Charles L. Wiseman. (2007). Comment on: A Validated Mathematical Model of Cell-Mediated Immune Response to Tumor Growth. Cancer Research. 67(17). 8420–8420. 5 indexed citations
17.
Pillis, L. G. de, Wenling Gu, & Ami Radunskaya. (2006). Mixed immunotherapy and chemotherapy of tumors: modeling, applications and biological interpretations. Journal of Theoretical Biology. 238(4). 841–862. 431 indexed citations
18.
Villasana, Minaya & Ami Radunskaya. (2003). A delay differential equation model for tumor growth. Journal of Mathematical Biology. 47(3). 270–294. 215 indexed citations
19.
Pillis, L. G. de & Ami Radunskaya. (2003). The dynamics of an optimally controlled tumor model: A case study. Mathematical and Computer Modelling. 37(11). 1221–1244. 304 indexed citations
20.
Radunskaya, Ami. (1996). Chaos and Non-Linear Models. The Journal of the Abraham Lincoln Association. 1996. 440–443. 1 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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