Sonia Pacini

709 total citations
9 papers, 617 citations indexed

About

Sonia Pacini is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sonia Pacini has authored 9 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Sonia Pacini's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Signaling Pathways in Disease (2 papers). Sonia Pacini is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Signaling Pathways in Disease (2 papers). Sonia Pacini collaborates with scholars based in Italy, United Kingdom and Ireland. Sonia Pacini's co-authors include Cosima T. Baldari, Pier Giuseppe Pelicci, Andrea Ventura, Silvia Valensin, Lucilla Luzi, Cristina Ulivieri, Michela Pellegrini, Luisa Lanfrancone, Laura Patrussi and V. Pallini and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Sonia Pacini

9 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Pacini Italy 8 399 209 113 75 63 9 617
Deanna J. Volle United States 14 639 1.6× 143 0.7× 103 0.9× 85 1.1× 71 1.1× 18 870
Lunhua Liu United States 14 319 0.8× 192 0.9× 149 1.3× 71 0.9× 41 0.7× 21 607
Ursula Koppenhoefer Germany 11 546 1.4× 312 1.5× 102 0.9× 129 1.7× 63 1.0× 12 835
Yoshiyuki Kanai Japan 17 312 0.8× 214 1.0× 58 0.5× 175 2.3× 58 0.9× 33 752
Sarah J. Turner United Kingdom 7 304 0.8× 123 0.6× 64 0.6× 144 1.9× 36 0.6× 12 529
Kyoichiro Higashi Japan 11 399 1.0× 115 0.6× 64 0.6× 110 1.5× 38 0.6× 15 628
André Haman Canada 18 464 1.2× 365 1.7× 70 0.6× 216 2.9× 52 0.8× 25 930
Keli Song United States 10 336 0.8× 105 0.5× 49 0.4× 120 1.6× 32 0.5× 19 475
Guiqing Huang United States 10 396 1.0× 86 0.4× 106 0.9× 47 0.6× 54 0.9× 14 639
Kate E. Jarman Australia 13 499 1.3× 106 0.5× 119 1.1× 157 2.1× 69 1.1× 24 870

Countries citing papers authored by Sonia Pacini

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Pacini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Pacini

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

All Works

9 of 9 papers shown
1.
Pacini, Sonia, Michela Pellegrini, Enrica Migliaccio, et al.. (2004). p66SHC Promotes Apoptosis and Antagonizes Mitogenic Signaling in T Cells. Molecular and Cellular Biology. 24(4). 1747–1757. 115 indexed citations
2.
Bini, Luca, Sonia Pacini, Sabrina Liberatori, et al.. (2003). Extensive temporally regulated reorganization of the lipid raft proteome following T-cell antigen receptor triggering. Biochemical Journal. 369(2). 301–309. 127 indexed citations
3.
Valensin, Silvia, Silvia Rossi Paccani, Cristina Ulivieri, et al.. (2002). F-actin dynamics control segregation of the TCR signaling cascade to clustered lipid rafts. European Journal of Immunology. 32(2). 435–446. 81 indexed citations
4.
Ventura, Andrea, Lucilla Luzi, Sonia Pacini, Cosima T. Baldari, & Pier Giuseppe Pelicci. (2002). The p66Shc Longevity Gene Is Silenced through Epigenetic Modifications of an Alternative Promoter. Journal of Biological Chemistry. 277(25). 22370–22376. 148 indexed citations
5.
Pacini, Sonia, Silvia Valensin, John L. Telford, John E. Ladbury, & Cosima T. Baldari. (2000). Temporally regulated assembly of a dynamic signaling complex associated with the activated TCR. European Journal of Immunology. 30(9). 2620–2631. 12 indexed citations
6.
Boncristiano, Marianna, Mario Milco D’Elios, Sonia Pacini, et al.. (2000). Defective recruitment and activation of ZAP-70 in common variable immunodeficiency patients with T cell defects. European Journal of Immunology. 30(9). 2632–2638. 49 indexed citations
7.
8.
Ulivieri, Cristina, et al.. (1999). Obligatory cross-talk with the tyrosine kinases assembled with the TCR/CD3 complex in CD4 signal transduction. European Journal of Immunology. 29(8). 2625–2635. 7 indexed citations
9.
Pacini, Sonia, Cristina Ulivieri, Antonella Isacchi, et al.. (1998). Tyrosine 474 of ZAP-70 Is Required for Association with the Shc Adaptor and for T-cell Antigen Receptor-dependent Gene Activation. Journal of Biological Chemistry. 273(32). 20487–20493. 33 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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