Marco Macagno

954 citations
15 papers · 532 · h-index 12

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 5
    • Complement system in diseases 2
    • Toxin Mechanisms and Immunotoxins 2
    • Immune Cell Function and Interaction 2
    • Cancer Cells and Metastasis 3
    • CAR-T cell therapy research 2

Marco Macagno

15 papers receiving 526 citations

Peers

Marco Macagno
Comparison fields: 5 of 61
  • Immunology 291
  • Oncology 260
  • Cancer Research 97
  • Biotechnology 34
  • Biochemistry 22
Replace Mai-Britt Zocca with:
Mai-Britt Zocca Denmark
Junjie Qian China
Ivana Heřmanová Czechia
Marike Stassar Germany
Julie Westerlin Kjeldsen Denmark
Peiying Ye China
Sandrine Medves Luxembourg
Christopher Taylor United States
Hayrettin Guvén Sweden
Gene P. Siegal United States
Marco Macagno relative to Mai-Britt Zocca Denmark Mai-Britt Zocca's profile →
Citations per field
00.5×
Mai-Britt Zocca · 1×
Citations per year

Countries citing papers authored by Marco Macagno

Since Specialization
Citations

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

Fields of papers citing papers by Marco Macagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019165
2 2015103
3 201341
4 201635
5 201830
6 201429
7 201422
8 201121
9 202120
10 202220
11 201416
12 201615
13 202010
14 20244
15 20221

About Marco Macagno

Marco Macagno is a scholar working on Immunology, Oncology, Molecular Biology, Biotechnology and Pathology and Forensic Medicine, having authored 15 papers that have together received 532 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Genetic factors in colorectal cancer (3 papers), Cancer Cells and Metastasis (3 papers), Cancer Research and Treatments (2 papers), Complement system in diseases (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), CAR-T cell therapy research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (291 citations), Oncology (260 citations), Cancer Research (97 citations), Biotechnology (34 citations) and Biochemistry (22 citations). Marco Macagno has collaborated with scholars based in Italy, Belarus and Australia. Frequent co-authors include Massimo Aglietta, Dario Sangiolo, Cristiana Lo Nigro, Marco Merlano, Luca Bertolaccini, Federica Cavallo, Stefania Lanzardo, Maddalena Arigoni, Laura Conti and Roberto Ruiu. Their work appears in journals such as Cancers, OncoImmunology, Clinical Cancer Research, Molecular Oncology and The Journal of Immunology.

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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