Giulia Marelli

1.0k citations
15 papers · 664 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Immune cells in cancer 5
    • Phagocytosis and Immune Regulation 4
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 3
    • Chemokine receptors and signaling 2

Giulia Marelli

15 papers receiving 657 citations

Peers

Giulia Marelli
Comparison fields: 5 of 74
  • Oncology 334
  • Genetics 314
  • Immunology 189
  • Biotechnology 71
  • Molecular Biology 251
Replace Pilar Alzuguren with:
Pilar Alzuguren Spain
Ivan Shevchenko Germany
Faris Farassati United States
Bettina Fleischmann-Mundt Germany
Hannah H. Chen United Kingdom
B Fang United States
Bettina Mundt Germany
Lu-Zhe Pan Canada
Iñigo Tirapu Spain
Qing-Xia Fan China
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Citations per field
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Citations per year

Countries citing papers authored by Giulia Marelli

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Marelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018220
2 2017115
3 201794
4 202242
5 202038
6 201737
7 201534
8 202132
9 201617
10 201510
11 19838
12 20196
13 20255
14 20185
15 20171

About Giulia Marelli

Giulia Marelli is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Immunology and Allergy, having authored 15 papers that have together received 664 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Virus-based gene therapy research (5 papers), Phagocytosis and Immune Regulation (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers), Cell Adhesion Molecules Research (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Oncology (334 citations), Genetics (314 citations), Immunology (189 citations), Biotechnology (71 citations) and Molecular Biology (251 citations). Giulia Marelli has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Nicholas R. Lemoine, Yaohe Wang, Paola Allavena, Antonio Sica, Luca Vannucci, Marco Erreni, Alberto Mantovani, Louisa S. Chard, Giusy Di Conza and Federica Portale. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Frontiers in Immunology, Frontiers in Oncology, Immunobiology and Antioxidants and Redox Signaling.

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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