Iva Benešová

34 total papers · 612 total citations
14 papers, 360 citations indexed

About

Iva Benešová is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Iva Benešová has authored 14 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Iva Benešová's work include Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). Iva Benešová is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). Iva Benešová collaborates with scholars based in Czechia, Germany and Switzerland. Iva Benešová's co-authors include Zuzana Střížová, René Novysedlák, Lily Koumbas Foley, Ilja Střı́ž, Eva Cecrdlova, Robin Bartolini, Miloslav Kverka, Marc Schmitz, Luise Müller and Ulrich Sommer and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and European Journal of Immunology.

In The Last Decade

Iva Benešová

12 papers receiving 357 citations

Hit Papers

M1/M2 macrophages and the... 2023 2026 2024 2023 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Iva Benešová 160 100 74 46 30 14 360
Robin Bartolini 210 1.3× 113 1.1× 87 1.2× 34 0.7× 23 0.8× 9 402
Ilona Spyra 195 1.2× 94 0.9× 95 1.3× 44 1.0× 35 1.2× 13 320
René Novysedlák 133 0.8× 75 0.8× 37 0.5× 35 0.8× 20 0.7× 13 311
Fanqin Wei 129 0.8× 97 1.0× 96 1.3× 43 0.9× 43 1.4× 21 322
Philipp Burkard 89 0.6× 103 1.0× 97 1.3× 37 0.8× 36 1.2× 13 304
Fernando Erra Díaz 132 0.8× 139 1.4× 57 0.8× 30 0.7× 73 2.4× 18 379
Yijie Wang 157 1.0× 121 1.2× 38 0.5× 20 0.4× 37 1.2× 13 317
Jun Liu 94 0.6× 119 1.2× 55 0.7× 58 1.3× 36 1.2× 17 342
Eva Cecrdlova 163 1.0× 82 0.8× 37 0.5× 28 0.6× 18 0.6× 9 345
Ying Liang 118 0.7× 199 2.0× 46 0.6× 27 0.6× 27 0.9× 18 370

Countries citing papers authored by Iva Benešová

Since Specialization
Citations

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

Fields of papers citing papers by Iva Benešová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Benešová

This figure shows the co-authorship network connecting the top 25 collaborators of Iva Benešová. A scholar is included among the top collaborators of Iva Benešová 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 Iva Benešová. Iva Benešová 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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