Monica Raimo

543 total citations
14 papers, 385 citations indexed

About

Monica Raimo is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Monica Raimo has authored 14 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Monica Raimo's work include CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (5 papers). Monica Raimo is often cited by papers focused on CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (5 papers). Monica Raimo collaborates with scholars based in Netherlands, Italy and United States. Monica Raimo's co-authors include Jan Spanholtz, Anna‐Maria Georgoudaki, Adil Doganay Duru, Daniela Taverna, Haiping Liu, Francesca Orso, Didem Özkazanç, Lucia Kučerová, Anne Vincent‐Salomon and Kornélia Polyák and has published in prestigious journals such as Cancer Research, Journal of Cell Science and Journal of Controlled Release.

In The Last Decade

Monica Raimo

11 papers receiving 381 citations

Peers

Monica Raimo
Sergey Nechaev United States
Monica Raimo
Citations per year, relative to Monica Raimo Monica Raimo (= 1×) peers Sergey Nechaev

Countries citing papers authored by Monica Raimo

Since Specialization
Citations

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

Fields of papers citing papers by Monica Raimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Raimo

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

All Works

14 of 14 papers shown
1.
Kok, Nina, Didem Özkazanç, Simar Pal Singh, et al.. (2025). CD28 signaling domain boosts persistence and in vivo anti-tumor activity of stem cell-derived CD19-CAR-NK cells. iScience. 28(6). 112548–112548.
4.
Duru, Adil Doganay, Anna‐Maria Georgoudaki, Tanja D. de Gruijl, et al.. (2024). Bulk and single-cell transcriptomics identify gene signatures of stem cell-derived NK cell donors with superior cytolytic activity. PubMed. 32(4). 200870–200870. 3 indexed citations
5.
Raimo, Monica, et al.. (2024). Harnessing the Power of NK Cell Receptor Engineering as a New Prospect in Cancer Immunotherapy. Pharmaceutics. 16(9). 1143–1143. 4 indexed citations
6.
Raimo, Monica, Susan Gibbs, Tanja D. de Gruijl, et al.. (2023). Early TRAIL-engagement elicits potent multimodal targeting of melanoma by CD34+ progenitor cell-derived NK cells. iScience. 26(7). 107078–107078. 4 indexed citations
7.
Casadidio, Cristina, Johanna Walther, Jan Spanholtz, et al.. (2023). Lipid nanoparticle-mediated messenger RNA delivery for ex vivo engineering of natural killer cells. Journal of Controlled Release. 361. 455–469. 35 indexed citations
8.
Georgoudaki, Anna‐Maria, Haiping Liu, Didem Özkazanç, et al.. (2022). Natural killer cells in clinical development as non-engineered, engineered, and combination therapies. Journal of Hematology & Oncology. 15(1). 164–164. 107 indexed citations
9.
Georgoudaki, Anna‐Maria, et al.. (2021). Adoptive NK Cell Therapy: A Promising Treatment Prospect for Metastatic Melanoma. Cancers. 13(18). 4722–4722. 24 indexed citations
10.
Yahyanejad, Sanaz, Iman J. Schultz, Monica Raimo, et al.. (2018). Abstract 4405: Pharmacologic profile of INT-1B3: A novel synthetic microRNA 193a-3p mimic for therapeutic intervention in oncology. Cancer Research. 78(13_Supplement). 4405–4405. 3 indexed citations
11.
Raimo, Monica, Francesca Orso, Elena Grassi, et al.. (2016). miR-146a Exerts Differential Effects on Melanoma Growth and Metastatization. Molecular Cancer Research. 14(6). 548–562. 34 indexed citations
12.
Politano, Gianfranco, Francesca Orso, Monica Raimo, et al.. (2016). CyTRANSFINDER: a Cytoscape 3.3 plugin for three-component (TF, gene, miRNA) signal transduction pathway construction. BMC Bioinformatics. 17(1). 157–157. 13 indexed citations
13.
Cuiffo, Benjamin, Antoine Campagne, George W. Bell, et al.. (2014). MSC-Regulated MicroRNAs Converge on the Transcription Factor FOXP2 and Promote Breast Cancer Metastasis. Cell stem cell. 15(6). 762–774. 143 indexed citations
14.
Yan, Hong, Kelli E. Valdez, Martha Z. Carletti, et al.. (2013). Novel role of microRNA146b in promoting mammary alveolar progenitor cell maintenance. Journal of Cell Science. 126(Pt 11). 2446–58. 15 indexed citations

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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