Beatrice Casu

709 citations
8 papers · 286 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 8
    • Immune cells in cancer 2
    • Macrophage Migration Inhibitory Factor 1
    • Reproductive System and Pregnancy 1
    • Cancer Immunotherapy and Biomarkers 1

Beatrice Casu

8 papers receiving 281 citations

Peers

Beatrice Casu
Comparison fields: 5 of 54
  • Immunology 204
  • Oncology 118
  • Hematology 23
  • Cancer Research 25
  • Neurology 17
Replace Philipp Knopf with:
Philipp Knopf Germany
Ramona Rotolo Italy
Martha Lopez‐Yrigoyen United Kingdom
Miles H. Linde United States
Charlotte Helena Rivas United States
Rana El-Etriby United States
Jung Hyun Her South Korea
Katerina Goudevenou United Kingdom
Nicholas A. Zumwalde United States
Didem Özkazanç Türkiye
Beatrice Casu relative to Philipp Knopf Germany Philipp Knopf's profile →
Citations per field
00.5×2.9×
Philipp Knopf · 1×
Citations per year

Countries citing papers authored by Beatrice Casu

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Casu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beatrice Casu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beatrice Casu Line = papers co-authored together Beatrice Casu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2018103
2 201759
3 201941
4 201737
5 201721
6 201917
7 20186
8 20172

About Beatrice Casu

Beatrice Casu is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Neurology, having authored 8 papers that have together received 286 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Immune cells in cancer (2 papers), Macrophage Migration Inhibitory Factor (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), MicroRNA in disease regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Immunology (204 citations), Oncology (118 citations), Hematology (23 citations), Cancer Research (25 citations) and Neurology (17 citations). Beatrice Casu has collaborated with scholars based in Italy, France and Czechia. Frequent co-authors include Cristina Bottino, Roberta Castriconi, Alessandra Dondero, Stefano Regis, Francesca Bellora, Guido Ferlazzo, Paolo Carrega, Fabio Caliendo, Alessandro Moretta and Filomena Romano. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, Cancers, Oncotarget and DOAJ (DOAJ: Directory of Open Access Journals).

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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