Chiara Berlato

73 total papers · 974 total citations
19 papers, 749 citations indexed

About

Chiara Berlato is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Chiara Berlato has authored 19 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 9 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Chiara Berlato's work include Immune cells in cancer (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Chiara Berlato is often cited by papers focused on Immune cells in cancer (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Chiara Berlato collaborates with scholars based in United Kingdom, Austria and Italy. Chiara Berlato's co-authors include Akihiko Yoshimura, Marco A. Cassatella, Flavia Bazzoni, Ichiko Kinjyo, Wolfgang Doppler, Helen C. Hurst, Angelo G. Scibetta, Michael C. Haffner, Frances R. Balkwill and Eleni Maniati and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Chiara Berlato

19 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
Chiara Berlato 343 308 286 107 61 19 749
Gertrud M. Hocke 264 0.8× 332 1.1× 317 1.1× 151 1.4× 66 1.1× 22 729
Florian Corvinus 213 0.6× 396 1.3× 264 0.9× 133 1.2× 34 0.6× 13 683
Xiao Han 249 0.7× 210 0.7× 229 0.8× 75 0.7× 22 0.4× 17 629
Zhan Zhang 190 0.6× 369 1.2× 331 1.2× 149 1.4× 31 0.5× 21 854
Taiga Tamiya 515 1.5× 306 1.0× 248 0.9× 110 1.0× 45 0.7× 14 887
Mónica Ricote 212 0.6× 277 0.9× 267 0.9× 161 1.5× 52 0.9× 14 659
Annalaura Erroi 276 0.8× 151 0.5× 190 0.7× 50 0.5× 23 0.4× 28 666
Kumar S. Bishnupuri 198 0.6× 307 1.0× 379 1.3× 108 1.0× 116 1.9× 18 873
Vida Hashemi 357 1.0× 258 0.8× 251 0.9× 113 1.1× 30 0.5× 20 826
E. Rogier 195 0.6× 112 0.4× 249 0.9× 87 0.8× 49 0.8× 23 772

Countries citing papers authored by Chiara Berlato

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Berlato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Berlato

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