Monica Raimo

543 citations
14 papers · 385 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 9
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 2

Monica Raimo

11 papers receiving 381 citations

Peers

Monica Raimo
Comparison fields: 5 of 49
  • Cancer Research 136
  • Immunology 166
  • Oncology 211
  • Genetics 43
  • Molecular Biology 174
Replace Antonio Ahn with:
Antonio Ahn New Zealand
Sergey Nechaev United States
Anastasia S. Proskurina Russia
Junya Yan China
Е. В. Долгова Russia
Sara Jansson Sweden
Gokce Oguz Singapore
Dora Hammerl Netherlands
Mehul Kumar Canada
Hannah Wurzer Luxembourg
Monica Raimo relative to Antonio Ahn New Zealand Antonio Ahn's profile →
Citations per field
00.5×1.5×2.0×
Antonio Ahn · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Monica Raimo, 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 Monica Raimo Line = papers co-authored together Monica Raimo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014143
2 2022107
3 202335
4 201634
5 202124
6 201315
7 201613
8 20234
9 20244
10 20243
11 20183
12 20250
13 20250
14 20240

About Monica Raimo

Monica Raimo is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Immunotherapy and Immune Responses (2 papers), RNA Interference and Gene Delivery (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Cancer Research (136 citations), Immunology (166 citations), Oncology (211 citations), Genetics (43 citations) and Molecular Biology (174 citations). Monica Raimo has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Jan Spanholtz, Anna‐Maria Georgoudaki, Daniela Taverna, Adil Doganay Duru, Lucia Kučerová, Didem Özkazanç, Haiping Liu, Francesca Orso, Evan C. Lien and Benjamin Cuiffo. Their work appears in journals such as iScience, Molecular Cancer Research, Cancers, BMC Bioinformatics and Frontiers in Bioengineering and Biotechnology.

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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