Alessandra Sanna

629 total citations
24 papers, 453 citations indexed

About

Alessandra Sanna is a scholar working on Immunology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Alessandra Sanna has authored 24 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Pathology and Forensic Medicine and 6 papers in Rheumatology. Recurrent topics in Alessandra Sanna's work include Immunotherapy and Immune Responses (14 papers), Multiple Sclerosis Research Studies (9 papers) and T-cell and B-cell Immunology (8 papers). Alessandra Sanna is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), Multiple Sclerosis Research Studies (9 papers) and T-cell and B-cell Immunology (8 papers). Alessandra Sanna collaborates with scholars based in Italy, Sweden and China. Alessandra Sanna's co-authors include Giulio Rosati, Stefano Sotgiu, Giannina Arru, Maura Pugliatti, Hans Link, Maria Laura Fois, Yu-Min Huang, M. Söderström, A. Sotgiu and Maria Alessandra Sotgiu and has published in prestigious journals such as Neurobiology of Disease, Journal of Neuroimmunology and Clinical & Experimental Immunology.

In The Last Decade

Alessandra Sanna

24 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandra Sanna Italy 11 223 189 83 58 57 24 453
Gianna Costa Italy 13 219 1.0× 159 0.8× 168 2.0× 60 1.0× 43 0.8× 24 505
I. D. Stolyarov Russia 7 221 1.0× 112 0.6× 42 0.5× 99 1.7× 81 1.4× 26 361
Patricia Calleja Spain 10 95 0.4× 62 0.3× 68 0.8× 68 1.2× 41 0.7× 16 308
A. Dufour Italy 13 194 0.9× 215 1.1× 92 1.1× 82 1.4× 113 2.0× 28 515
Marte W. Gustavsen Norway 11 169 0.8× 111 0.6× 101 1.2× 31 0.5× 28 0.5× 12 348
Lihua Zhang China 12 72 0.3× 41 0.2× 79 1.0× 33 0.6× 33 0.6× 36 335
Jamie McDonald United States 4 361 1.6× 152 0.8× 31 0.4× 78 1.3× 51 0.9× 4 420
A Dujić Serbia 10 166 0.7× 130 0.7× 70 0.8× 24 0.4× 89 1.6× 40 425
Nihal Demircan Türkiye 12 52 0.2× 50 0.3× 140 1.7× 22 0.4× 22 0.4× 30 622
Mel Maranian United Kingdom 8 103 0.5× 101 0.5× 107 1.3× 22 0.4× 46 0.8× 12 389

Countries citing papers authored by Alessandra Sanna

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Sanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Sanna

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

All Works

20 of 20 papers shown
1.
Zanda, Bastianina, et al.. (2018). Thrombolysis in Acute Ischemic Stroke after Idarucizumab for Dabigatran Etexilate Reversal in Elderly: A Case Report.. PubMed. 10(2). 15–17. 5 indexed citations
2.
Sanna, Alessandra, et al.. (2006). Glatiramer acetate reduces lymphocyte proliferation and enhances IL-5 and IL-13 production through modulation of monocyte-derived dendritic cells in multiple sclerosis. Institutional Research Information System University of Ferrara (University of Ferrara). 48 indexed citations
3.
Sotgiu, Stefano, Giannina Arru, Alessandra Sanna, et al.. (2006). Immunomodulation of fucosyl-lactose and lacto-N-fucopentaose on mononuclear cells from multiple sclerosis and healthy subjects.. PubMed. 2(2). 114–20. 14 indexed citations
4.
Sotgiu, Stefano, et al.. (2006). Multiple sclerosis: peripheral mononuclear cells inhibit Plasmodium falciparum growth and are activated by parasite antigens.. PubMed. 43(3). 130–2. 1 indexed citations
5.
Liu, Xuan, Knut R. Steffensen, Alessandra Sanna, et al.. (2005). Anti-inflammatory nuclear receptor superfamily in multiple sclerosis patients from Sardinia and Sweden. Neurobiology of Disease. 20(3). 961–968. 7 indexed citations
6.
Sotgiu, Stefano, Maura Pugliatti, Maria Alessandra Sotgiu, et al.. (2005). Seasonal fluctuation of multiple sclerosis births in Sardinia. Journal of Neurology. 253(1). 38–44. 45 indexed citations
7.
Sanna, Alessandra, Giannina Arru, H. Link, et al.. (2005). Glatiramer acetate reduces lymphocyte proliferation and enhances IL-5 and IL-13 production through modulation of monocyte-derived dendritic cells in multiple sclerosis. Clinical & Experimental Immunology. 143(2). 357–362. 2 indexed citations
8.
Huang, Yu-Min, Xuan Liu, Knut R. Steffensen, et al.. (2005). Immunological heterogeneity of multiple sclerosis in Sardinia and Sweden. Multiple Sclerosis Journal. 11(1). 16–23. 6 indexed citations
9.
10.
Sotgiu, Stefano, Maura Pugliatti, Maria Laura Fois, et al.. (2004). Genes, environment, and susceptibility to multiple sclerosis. Neurobiology of Disease. 17(2). 131–143. 34 indexed citations
11.
Huang, Yuming, et al.. (2004). Multiple sclerosis: interferon-beta induces CD123+BDCA2− dendritic cells that produce IL-6 and IL-10 and have no enhanced type I interferon production. Journal of Neuroimmunology. 158(1-2). 204–212. 19 indexed citations
12.
Cao, et al.. (2003). Modulation effects of human immature and mature dendritic cells on glatiramer acetate specific T cell lines in vitro.. PubMed. 11(4). 409–15. 1 indexed citations
13.
Sotgiu, Stefano, et al.. (2003). Alpha B‐crystallin is not a dominant peripheral T‐cell autoantigen in multiple sclerosis amongst Sardinians. European Journal of Neurology. 10(5). 583–586. 6 indexed citations
14.
Sotgiu, Stefano, Maura Pugliatti, Alessandra Sanna, et al.. (2002). Serum uric acid and multiple sclerosis. Neurological Sciences. 23(4). 183–188. 66 indexed citations
15.
Sotgiu, Stefano, Maura Pugliatti, Alessandra Sanna, et al.. (2002). Multiple sclerosis complexity in selected populations: the challenge of Sardinia, insular Italy1. European Journal of Neurology. 9(4). 329–341. 44 indexed citations
16.
Sanna, Alessandra, et al.. (2001). Glatiramer acetate and IFN-β act on dendritic cells in multiple sclerosis. Journal of Neuroimmunology. 121(1-2). 102–110. 78 indexed citations
17.
Sotgiu, Stefano, Maura Pugliatti, Giuliana Solinas, et al.. (2001). Immunogenetic heterogeneity of multiple sclerosis in Sardinia. Neurological Sciences. 22(2). 167–170. 7 indexed citations
18.
Carozzi, S, et al.. (1997). Peritoneal dialysis effluent, cytokine levels, and peritoneal mesothelial cell viability in CAPD: a possible relationship.. PubMed. 13. 7–12. 9 indexed citations
19.
Muntoni, Sa., Paola Mascia, Paolo Pintus, et al.. (1991). Mean levels and distribution of some risk factors for atherosclerosis in Sardinia: The ATS-Sardegna survey. European Journal of Epidemiology. 7(1). 39–47. 7 indexed citations
20.
Chezzi, Carlo, et al.. (1988). Inhibition of late influenza virus genome expression by diamidinophenylindole. Annales de l Institut Pasteur Virologie. 139(1). 69–78. 1 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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