Ivan Mattioli

1.1k citations
8 papers · 962 indexed · h-index 7
  • Immunology top 5%
    • interferon and immune responses 5
    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 2
    • NF-κB Signaling Pathways 6
  • Oncology top 10%
    • Chemokine receptors and signaling 2
    • Cytokine Signaling Pathways and Interactions 2
    • Signaling Pathways in Disease 1

Ivan Mattioli

8 papers receiving 942 citations

Peers

Ivan Mattioli
Comparison fields: 5 of 80
  • Immunology 544
  • Cancer Research 306
  • Oncology 353
  • Immunology and Allergy 45
  • Molecular Biology 314
Replace Jutta Braunstein with:
Jutta Braunstein Germany
R Remy Switzerland
Gareth Sully United Kingdom
Anneke Dörrie Germany
Katherine A. Felts United States
Maureen A. Harrington United States
Julie Carman United States
Ni Liu China
Y. Nophar Israel
Astrid Strelow Germany
Ivan Mattioli relative to Jutta Braunstein Germany Jutta Braunstein's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Mattioli

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Mattioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Ivan Mattioli, 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 Ivan Mattioli Line = papers co-authored together Ivan Mattioli links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006104
2 2004196
3 2004213
4 200420
5 200425
6 20041
7 2002158
8 2001245

About Ivan Mattioli

Ivan Mattioli is a scholar working on Cancer Research, Immunology and Oncology, having authored 8 papers that have together received 962 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), interferon and immune responses (5 papers), Immune Response and Inflammation (3 papers), T-cell and B-cell Immunology (2 papers), Chemokine receptors and signaling (2 papers), Immunotherapy and Immune Responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Immunology (544 citations), Cancer Research (306 citations) and Oncology (353 citations). Ivan Mattioli has collaborated with scholars based in Switzerland, Germany and Canada. Frequent co-authors include M. Lienhard Schmitz, Michael Kracht, Ian Clark‐Lewis, Jiang-Hong Gong, Pius Loetscher, Andrea Sebald, Antonio Pellegrino, Marco Baggiolini, Giuseppe Bardi and Marcel Loetscher. Their work appears in journals such as Journal of Biological Chemistry, Blood, The Journal of Immunology, ChemBioChem and European 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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