Riccardo Mesturini

610 total citations
18 papers, 481 citations indexed

About

Riccardo Mesturini is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Riccardo Mesturini has authored 18 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Riccardo Mesturini's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Peripheral Neuropathies and Disorders (3 papers). Riccardo Mesturini is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and Peripheral Neuropathies and Disorders (3 papers). Riccardo Mesturini collaborates with scholars based in Italy, United States and Japan. Riccardo Mesturini's co-authors include Umberto Dianzani, Annalisa Chiocchetti, Chiara Dianzani, Roberto Fantozzi, Cristoforo Comi, Stefania Nicola, Luca Castelli, José María Rojo, Junji Yagi and Elena Boggio and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Riccardo Mesturini

18 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Mesturini Italy 15 184 120 87 67 54 18 481
Luca De Maso Italy 10 141 0.8× 178 1.5× 36 0.4× 44 0.7× 65 1.2× 16 464
Mitsuru Sawa Japan 24 140 0.8× 183 1.5× 64 0.7× 35 0.5× 17 0.3× 83 1.7k
M. Schwarz Germany 10 133 0.7× 82 0.7× 42 0.5× 185 2.8× 44 0.8× 17 511
Sachiko Kubo Japan 11 239 1.3× 359 3.0× 71 0.8× 70 1.0× 92 1.7× 15 787
Asako Itakura United States 14 269 1.5× 194 1.6× 80 0.9× 36 0.5× 15 0.3× 24 690
Elisabetta Orilieri Italy 13 259 1.4× 158 1.3× 103 1.2× 58 0.9× 16 0.3× 18 518
Farhad Salari Iran 12 139 0.8× 231 1.9× 29 0.3× 38 0.6× 43 0.8× 66 596
Thusanth Thuraisingam Canada 14 209 1.1× 202 1.7× 83 1.0× 92 1.4× 38 0.7× 25 698
Michiko Tojo Japan 14 74 0.4× 236 2.0× 50 0.6× 48 0.7× 30 0.6× 20 480

Countries citing papers authored by Riccardo Mesturini

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Mesturini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Mesturini

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Mesturini. A scholar is included among the top collaborators of Riccardo Mesturini 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 Riccardo Mesturini. Riccardo Mesturini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Mesturini, Riccardo, Casimiro Luca Gigliotti, Elisabetta Orilieri, et al.. (2013). Differential induction of IL-17, IL-10, and IL-9 in human T helper cells by B7h and B7.1. Cytokine. 64(1). 322–330. 22 indexed citations
2.
Minelli, Rosalba, Loredana Serpe, Piergiorgio Pettazzoni, et al.. (2011). Cholesteryl butyrate solid lipid nanoparticles inhibit the adhesion and migration of colon cancer cells. British Journal of Pharmacology. 166(2). 587–601. 37 indexed citations
3.
Baldanzi, Gianluca, Elena Rainero, Sara Traini, et al.. (2011). SAP-Mediated Inhibition of Diacylglycerol Kinase α Regulates TCR-Induced Diacylglycerol Signaling. The Journal of Immunology. 187(11). 5941–5951. 42 indexed citations
4.
Zavattaro, Elisa, Riccardo Mesturini, Ange Dodji Dossou, et al.. (2010). Serum cytokine profile during Mycobacterium ulcerans infection (Buruli ulcer). International Journal of Dermatology. 49(11). 1297–1302. 4 indexed citations
5.
Boggio, Elena, Manuela Indelicato, Elisabetta Orilieri, et al.. (2010). Role of tissue inhibitor of metalloproteinases-1 in the development of autoimmune lymphoproliferation. Haematologica. 95(11). 1897–1904. 10 indexed citations
6.
Dianzani, Chiara, Rosalba Minelli, Riccardo Mesturini, et al.. (2010). B7h Triggering Inhibits Umbilical Vascular Endothelial Cell Adhesiveness to Tumor Cell Lines and Polymorphonuclear Cells. The Journal of Immunology. 185(7). 3970–3979. 29 indexed citations
7.
Comi, Cristoforo, Maurizio Osio, Massimo Ferretti, et al.. (2009). Defective Fas‐mediated T‐cell apoptosis predicts acute onset CIDP. Journal of the Peripheral Nervous System. 14(2). 101–106. 19 indexed citations
8.
Ferretti, Massimo, Marco Gattorno, Annalisa Chiocchetti, et al.. (2009). The 423Q polymorphism of the X‐linked inhibitor of apoptosis gene influences monocyte function and is associated with periodic fever. Arthritis & Rheumatism. 60(11). 3476–3484. 11 indexed citations
9.
Dell’Oste, Valentina, Barbara Azzimonti, Michele Mondini, et al.. (2008). Altered expression of UVB-induced cytokines in human papillomavirus-immortalized epithelial cells. Journal of General Virology. 89(10). 2461–2466. 17 indexed citations
10.
Vaschetto, Rosanna, Stefania Nicola, Carlo Olivieri, et al.. (2008). Serum levels of osteopontin are increased in SIRS and sepsis. Intensive Care Medicine. 34(12). 2176–2184. 57 indexed citations
11.
Castelli, Luca, Cristoforo Comi, Annalisa Chiocchetti, et al.. (2007). ICOS gene haplotypes correlate with IL10 secretion and multiple sclerosis evolution. Journal of Neuroimmunology. 186(1-2). 193–198. 18 indexed citations
12.
Chiocchetti, Annalisa, Gianluca Miglio, Riccardo Mesturini, et al.. (2006). Group I mGlu receptor stimulation inhibits activation‐induced cell death of human T lymphocytes. British Journal of Pharmacology. 148(6). 760–768. 33 indexed citations
13.
Mesturini, Riccardo, Stefania Nicola, Annalisa Chiocchetti, et al.. (2006). ICOS cooperates with CD28, IL‐2, and IFN‐γ and modulates activation of human naïve CD4+ T cells. European Journal of Immunology. 36(10). 2601–2612. 38 indexed citations
14.
Comi, Cristoforo, Paola Gaviani, Maurizio Leone, et al.. (2006). Fas‐mediated T‐cell apoptosis is impaired in patients with chronic inflammatory demyelinating polyneuropathy. Journal of the Peripheral Nervous System. 11(1). 53–60. 17 indexed citations
15.
Chiocchetti, Annalisa, Cristoforo Comi, Manuela Indelicato, et al.. (2005). Osteopontin gene haplotypes correlate with multiple sclerosis development and progression. Journal of Neuroimmunology. 163(1-2). 172–178. 60 indexed citations
16.
Lombardi, Grazia, Gianluca Miglio, Chiara Dianzani, et al.. (2004). Glutamate modulation of human lymphocyte growth: in vitro studies. Biochemical and Biophysical Research Communications. 318(2). 496–502. 21 indexed citations
17.
Dianzani, Umberto, et al.. (2003). Role of FAS in HIV Infection. Current HIV Research. 1(4). 405–417. 21 indexed citations
18.
Savarino, Andrea, Annalisa Chiocchetti, Flavia Bottarel, et al.. (2003). Human CD38 interferes with HIV‐1 fusion through a sequence homologous to the V3 loop of the viral envelope glycoprotein gp120.. The FASEB Journal. 17(3). 1–20. 25 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.

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