Irina Kareva

106 total papers · 1.5k total citations
44 papers, 822 citations indexed

About

Irina Kareva is a scholar working on Modeling and Simulation, Molecular Biology and Immunology. According to data from OpenAlex, Irina Kareva has authored 44 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 16 papers in Molecular Biology and 15 papers in Immunology. Recurrent topics in Irina Kareva's work include Mathematical Biology Tumor Growth (17 papers), Evolution and Genetic Dynamics (6 papers) and Immune Cell Function and Interaction (6 papers). Irina Kareva is often cited by papers focused on Mathematical Biology Tumor Growth (17 papers), Evolution and Genetic Dynamics (6 papers) and Immune Cell Function and Interaction (6 papers). Irina Kareva collaborates with scholars based in United States, Italy and France. Irina Kareva's co-authors include David J. Waxman, Giannoula Klement, Philip Hahnfeldt, Faina Berezovskaya, Georgy P. Karev, Alexandros G. Georgakilas, Jennifer S. Dickey, Olga A. Sedelnikova, Christophe E. Redon and Dieter Näf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Irina Kareva

40 papers receiving 801 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Irina Kareva	357	303	233	177	166	44	822
Hiroshi Haeno	465 1.3×	448 1.5×	310 1.3×	110 0.6×	144 0.9×	29	1.0k
Chang Gong	313 0.9×	316 1.0×	181 0.8×	188 1.1×	222 1.3×	27	745
Linda Simpson‐Herren	288 0.8×	324 1.1×	158 0.7×	59 0.3×	64 0.4×	29	792
Kuan‐lin Huang	170 0.5×	314 1.0×	167 0.7×	86 0.5×	48 0.3×	50	762
Morgan Craig	142 0.4×	226 0.7×	71 0.3×	111 0.6×	179 1.1×	50	763
Moran Elishmereni	243 0.7×	154 0.5×	107 0.5×	301 1.7×	256 1.5×	20	749
Antje‐Christine Walz	346 1.0×	401 1.3×	82 0.4×	153 0.9×	58 0.3×	34	885
Soha El Sheikh	212 0.6×	294 1.0×	213 0.9×	26 0.1×	80 0.5×	40	861
Arianna Palladini	458 1.3×	436 1.4×	130 0.6×	287 1.6×	30 0.2×	48	960
Salmon Se	422 1.2×	474 1.6×	142 0.6×	102 0.6×	15 0.1×	34	1.0k

Countries citing papers authored by Irina Kareva

Since Specialization

Citations

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

Fields of papers citing papers by Irina Kareva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Kareva

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

All Works

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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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