Ivan Mattioli
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- interferon and immune responses 5
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 1
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- NF-κB Signaling Pathways 6
- Co-authors
- M. Lienhard Schmitz (6 shared papers)Michael Kracht (5 shared papers)Ian Clark‐Lewis (2 shared papers)Jiang-Hong Gong (2 shared papers)Pius Loetscher (2 shared papers)Andrea Sebald (3 shared papers)Antonio Pellegrino (1 shared paper)Giuseppe Bardi (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)ChemBioChem (1 paper)Blood (1 paper)The Journal of Immunology (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- SwitzerlandGermanyCanada
In The Last Decade
Ivan Mattioli
8 papers receiving 947 citations
Peers
Comparison fields: 5 of 79
- Immunology 492
- Cancer Research 292
- Oncology 323
- Immunology and Allergy 35
- Molecular Biology 281
Countries citing papers authored by Ivan Mattioli
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 247 | |
| 2 | 2004 | 214 | |
| 3 | 2004 | 196 | |
| 4 | 2002 | 158 | |
| 5 | 2006 | 105 | |
| 6 | 2004 | 25 | |
| 7 | 2004 | 20 | |
| 8 | 2004 | 1 |
About Ivan Mattioli
Ivan Mattioli is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Infectious Diseases, having authored 8 papers that have together received 966 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), Cytokine Signaling Pathways and Interactions (2 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (492 citations), Cancer Research (292 citations), Oncology (323 citations), Immunology and Allergy (35 citations) and Molecular Biology (281 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, Giuseppe Bardi, Marcel Loetscher and Marco Baggiolini. Their work appears in journals such as Journal of Biological Chemistry, ChemBioChem, Blood, The Journal of Immunology 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.