Ivan Mattioli

1.1k total citations
8 papers, 962 citations indexed

About

Ivan Mattioli is a scholar working on Immunology, Cancer Research and Oncology. According to data from OpenAlex, Ivan Mattioli has authored 8 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Ivan Mattioli's work include NF-κB Signaling Pathways (6 papers), interferon and immune responses (5 papers) and Immune Response and Inflammation (3 papers). Ivan Mattioli is often cited by papers focused on NF-κB Signaling Pathways (6 papers), interferon and immune responses (5 papers) and Immune Response and Inflammation (3 papers). Ivan Mattioli collaborates with scholars based in Switzerland, Germany and Canada. Ivan Mattioli's co-authors include M. Lienhard Schmitz, Michael Kracht, Pius Loetscher, Ian Clark‐Lewis, Jiang-Hong Gong, Andrea Sebald, Antonio Pellegrino, Giuseppe Bardi, Marcel Loetscher and Marco Baggiolini and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Ivan Mattioli

8 papers receiving 942 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ivan Mattioli Switzerland	7	544	353	314	306	103	8	962
Bruce Jaffee United States	12	566 1.0×	244 0.7×	434 1.4×	339 1.1×	78 0.8×	13	1.0k
Sonja Reißig Germany	19	568 1.0×	209 0.6×	365 1.2×	174 0.6×	117 1.1×	28	990
Jacki Kornbluth United States	21	763 1.4×	285 0.8×	371 1.2×	143 0.5×	76 0.7×	53	1.3k
Gareth Sully United Kingdom	7	425 0.8×	267 0.8×	902 2.9×	299 1.0×	68 0.7×	7	1.3k
H. Nguyen Belgium	7	357 0.7×	142 0.4×	276 0.9×	223 0.7×	86 0.8×	10	704
Kwok‐Tao Pun United Kingdom	7	355 0.7×	194 0.5×	643 2.0×	186 0.6×	104 1.0×	8	968
Taiga Tamiya Japan	10	515 0.9×	308 0.9×	249 0.8×	110 0.4×	54 0.5×	14	892
P.A. Bäuerle Germany	5	490 0.9×	248 0.7×	214 0.7×	244 0.8×	80 0.8×	7	815
Julie Carman United States	19	772 1.4×	287 0.8×	441 1.4×	120 0.4×	73 0.7×	32	1.4k
Ulrich Pessara Germany	13	411 0.8×	157 0.4×	541 1.7×	225 0.7×	66 0.6×	17	1.1k

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 of co-authors of Ivan Mattioli

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Mattioli. A scholar is included among the top collaborators of Ivan Mattioli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Mattioli. Ivan Mattioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Mattioli, Ivan, et al.. (2006). Inducible Phosphorylation of NF-κB p65 at Serine 468 by T Cell Costimulation Is Mediated by IKKϵ. Journal of Biological Chemistry. 281(10). 6175–6183. 104 indexed citations

2.

Mattioli, Ivan, Andrea Sebald, Roch‐Philippe Charles, et al.. (2004). Transient and Selective NF-κB p65 Serine 536 Phosphorylation Induced by T Cell Costimulation Is Mediated by IκB Kinase β and Controls the Kinetics of p65 Nuclear Import. The Journal of Immunology. 172(10). 6336–6344. 196 indexed citations

3.

Schmitz, M. Lienhard, et al.. (2004). NF‐κB: A Multifaceted Transcription Factor Regulated at Several Levels. ChemBioChem. 5(10). 1348–1358. 213 indexed citations

4.

Mattioli, Ivan, Oliver Dittrich‐Breiholz, Mark Livingstone, Michael Kracht, & M. Lienhard Schmitz. (2004). Comparative analysis of T-cell costimulation and CD43 activation reveals novel signaling pathways and target genes. Blood. 104(10). 3302–3304. 25 indexed citations

5.

Sebald, Andrea, Ivan Mattioli, & M. Lienhard Schmitz. (2004). T cell receptor‐induced lipid raft recruitment of the IκB kinase complex is necessary and sufficient for NF‐κB activation occurring in the cytosol. European Journal of Immunology. 35(1). 318–325. 20 indexed citations

6.

Schmitz, M. Lienhard, et al.. (2004). NF‐ϰB: A Multifaceted Transcription Factor Regulated at Several Levels. ChemInform. 35(50). 1 indexed citations

7.

Clark‐Lewis, Ian, Ivan Mattioli, Jiang-Hong Gong, & Pius Loetscher. (2002). Structure-Function Relationship between the Human Chemokine Receptor CXCR3 and Its Ligands. Journal of Biological Chemistry. 278(1). 289–295. 158 indexed citations

8.

Loetscher, Pius, Antonio Pellegrino, Jiang-Hong Gong, et al.. (2001). The Ligands of CXC Chemokine Receptor 3, I-TAC, Mig, and IP10, Are Natural Antagonists for CCR3. Journal of Biological Chemistry. 276(5). 2986–2991. 245 indexed citations

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.

Explore authors with similar magnitude of impact