Valentina Pacciani

937 total citations
8 papers, 775 citations indexed

About

Valentina Pacciani is a scholar working on Immunology, Dermatology and Immunology and Allergy. According to data from OpenAlex, Valentina Pacciani has authored 8 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Dermatology and 3 papers in Immunology and Allergy. Recurrent topics in Valentina Pacciani's work include Dermatology and Skin Diseases (3 papers), Allergic Rhinitis and Sensitization (3 papers) and Immunotherapy and Immune Responses (2 papers). Valentina Pacciani is often cited by papers focused on Dermatology and Skin Diseases (3 papers), Allergic Rhinitis and Sensitization (3 papers) and Immunotherapy and Immune Responses (2 papers). Valentina Pacciani collaborates with scholars based in Italy, Switzerland and United Kingdom. Valentina Pacciani's co-authors include Silvia Gregori, Maria-Grazia Roncarolo, Manuela Battaglia, Chiara F. Magnani, Daniela Tomasoni, Miriam Scirpoli, Ehud Hauben, Elena Campione, Sergio Chimenti and Laura Diluvio and has published in prestigious journals such as Nature Medicine, Blood and Journal of Allergy and Clinical Immunology.

In The Last Decade

Valentina Pacciani

8 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentina Pacciani Italy 7 610 123 83 82 71 8 775
M Naiem United Arab Emirates 9 374 0.6× 50 0.4× 78 0.9× 51 0.6× 69 1.0× 15 711
Monica E. Gianolini Italy 7 686 1.1× 24 0.2× 238 2.9× 37 0.5× 36 0.5× 7 896
Kenji Katamura Japan 15 417 0.7× 72 0.6× 124 1.5× 110 1.3× 111 1.6× 38 1.1k
Yasuhiro Tabata Japan 20 550 0.9× 55 0.4× 174 2.1× 153 1.9× 56 0.8× 23 950
Michael Brusilovsky United States 16 573 0.9× 15 0.1× 187 2.3× 54 0.7× 33 0.5× 25 755
Tanja Aarvak Norway 12 430 0.7× 33 0.3× 347 4.2× 43 0.5× 37 0.5× 17 880
Marie‐Olivia Chandesris France 18 504 0.8× 31 0.3× 70 0.8× 92 1.1× 79 1.1× 46 939
Jean‐Marc Doisne France 15 937 1.5× 60 0.5× 130 1.6× 25 0.3× 5 0.1× 22 1.1k
Anne Barra France 12 541 0.9× 19 0.2× 73 0.9× 41 0.5× 20 0.3× 16 710
Sa’ar Mizrahi Israel 13 734 1.2× 8 0.1× 66 0.8× 59 0.7× 41 0.6× 16 872

Countries citing papers authored by Valentina Pacciani

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Pacciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Pacciani

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

All Works

8 of 8 papers shown
1.
Cardellini, Jacopo, Valentina Pacciani, Claudia Innocenti, et al.. (2024). Magnetic–Plasmonic Nanoscale Liposomes with Tunable Optical and Magnetic Properties for Combined Multimodal Imaging and Drug Delivery. ACS Applied Nano Materials. 7(4). 3668–3678. 13 indexed citations
2.
Pacciani, Valentina, S Corrente, Silvia Gregori, et al.. (2012). Correlation of Der p 2 T-cell responses with clinical characteristics of children allergic to house dust mite. Annals of Allergy Asthma & Immunology. 109(6). 442–447. 6 indexed citations
3.
Pacciani, Valentina, Silvia Gregori, L Chini, et al.. (2010). Induction of anergic allergen-specific suppressor T cells using tolerogenic dendritic cells derived from children with allergies to house dust mites. Journal of Allergy and Clinical Immunology. 125(3). 727–736. 50 indexed citations
4.
Angelini, Federica, Valentina Pacciani, S Corrente, et al.. (2010). Dendritic cells modifi cation during sublingual immunotherapy in children with allergic symptoms to house dust mites. World Journal of Pediatrics. 7(1). 24–30. 33 indexed citations
5.
Gregori, Silvia, Daniela Tomasoni, Valentina Pacciani, et al.. (2010). Differentiation of type 1 T regulatory cells (Tr1) by tolerogenic DC-10 requires the IL-10–dependent ILT4/HLA-G pathway. Blood. 116(6). 935–944. 457 indexed citations
6.
Caruso, Roberta, Elisabetta Botti, Massimiliano Sarra, et al.. (2009). Involvement of interleukin-21 in the epidermal hyperplasia of psoriasis. Nature Medicine. 15(9). 1013–1015. 166 indexed citations
7.
Pacciani, Valentina, et al.. (2005). Altered phenotype and function of dendritic cells in children with type 1 diabetes. Clinical & Experimental Immunology. 142(2). 341–346. 16 indexed citations
8.
Guglietta, Silvia, Anna Rosa Garbuglia, Valentina Pacciani, et al.. (2005). Positive selection of cytotoxic T lymphocyte escape variants during acute hepatitis C virus infection. European Journal of Immunology. 35(9). 2627–2637. 34 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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