Ami Radunskaya

3.1k citations
47 papers · 2.2k indexed · h-index 12
Topics
Mathematical Biology Tumor Growth (13 papers)Gene Regulatory Network Analysis (8 papers)Immunotherapy and Immune Responses (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Applied Physics

In The Last Decade

Ami Radunskaya

45 papers receiving 2.0k citations

Peers

Ami Radunskaya
Comparison fields: 5 of 122
  • Modeling and Simulation 1.6k
  • Molecular Biology 961
  • Oncology 743
  • Immunology 445
  • Public Health, Environmental and Occupational Health 355
Replace L. G. de Pillis with:
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
Alberto Gandolfi Italy
Paul Macklin United States
Yangjin Kim United States
Abdelghani Bellouquid Morocco
Ami Radunskaya relative to L. G. de Pillis United States L. G. de Pillis's profile →
Citations per field
00.5×1.5×
L. G. de Pillis · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 4
4 2
5 2
6 3
7 3
8 10
9 19
10 62
11 1
12 51
13 8
14 4
15 5
16 5
17 431
18 215
19 304
20
Chaos and Non-Linear Models
1

About Ami Radunskaya

Ami Radunskaya is a scholar working on Modeling and Simulation, Immunology and Molecular Medicine, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (13 papers), Gene Regulatory Network Analysis (8 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Oncology (743 citations) and Immunology (445 citations). Ami Radunskaya has collaborated with scholars based in United States, New Zealand and Australia. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

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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