Giulia Marelli

1.1k citations
18 papers · 873 · h-index 11

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immune cells in cancer 6
    • Phagocytosis and Immune Regulation 4
    • CAR-T cell therapy research 3
    • Chemokine receptors and signaling 2

Giulia Marelli

18 papers receiving 859 citations

Peers

Giulia Marelli
Comparison fields: 5 of 77
  • Oncology 367
  • Immunology 273
  • Genetics 333
  • Biotechnology 73
  • Cancer Research 92
Replace Silvia Guil‐Luna with:
Silvia Guil‐Luna Spain
Buyun Ma China
Bettina Mundt Germany
Alexis J. Carulli United States
Cecilia Soh United Kingdom
Patrick L. Raber United States
Greggory S. LaBerge United States
Jitka Stančíková Czechia
Henry R. Tribble United States
Zhenyuan Dong United States
Giulia Marelli relative to Silvia Guil‐Luna Spain Silvia Guil‐Luna's profile →
Citations per field
00.5×2×3×4.0×
Silvia Guil‐Luna · 1×
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

18 of 18 papers shown
#Work
1 2018237
2 2021143
3 2017121
4 201798
5 202250
6 202040
7 201738
8 201535
9 202134
10 201617
11 202417
12 201510
13 19838
14 20197
15 20186
16 20256
17 20255
18 20171

About Giulia Marelli

Giulia Marelli is a scholar working on Immunology, Oncology, Genetics, Immunology and Allergy and Cancer Research, having authored 18 papers that have together received 873 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Virus-based gene therapy research (5 papers), Phagocytosis and Immune Regulation (4 papers), CAR-T cell therapy research (3 papers), Chemokine receptors and signaling (2 papers), Cancer, Stress, Anesthesia, and Immune Response (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 (367 citations), Immunology (273 citations), Genetics (333 citations), Biotechnology (73 citations) and Cancer Research (92 citations). Giulia Marelli has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Yaohe Wang, Nicholas Robert Lemoine, Paola Allavena, Antonio Sica, Luca E. Vannucci, Marco Erreni, Alberto Mantovani, Federica Portale, Louisa S. Chard and Ping‐Chih Ho. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Frontiers in Immunology, Nature Immunology, Molecular Therapy and Cancer Research.

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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