Giulia Pasqual

2.3k total citations
24 papers, 1.6k citations indexed

About

Giulia Pasqual is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Giulia Pasqual has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Infectious Diseases and 5 papers in Oncology. Recurrent topics in Giulia Pasqual's work include Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (10 papers) and Viral Infections and Outbreaks Research (7 papers). Giulia Pasqual is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (10 papers) and Viral Infections and Outbreaks Research (7 papers). Giulia Pasqual collaborates with scholars based in United States, Italy and Switzerland. Giulia Pasqual's co-authors include Gabriel D. Victora, Stefan Kunz, Sasha Targ, Johanne T. Jacobsen, Luka Mesin, Aleksey Chudnovskiy, Ziv Shulman, Alexander D. Gitlin, Mila Janković and Michel C. Nussenzweig and has published in prestigious journals such as Nature, Science and Advanced Materials.

In The Last Decade

Giulia Pasqual

24 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Pasqual United States 17 940 393 381 174 170 24 1.6k
Isabelle Bally France 20 778 0.8× 353 0.9× 178 0.5× 51 0.3× 96 0.6× 48 1.3k
Talitha R. Bakker Switzerland 15 906 1.0× 556 1.4× 237 0.6× 225 1.3× 187 1.1× 20 1.4k
Adriaan D. Bins Netherlands 19 752 0.8× 444 1.1× 136 0.4× 451 2.6× 137 0.8× 41 1.5k
Jennifer S. Sims United States 15 420 0.4× 480 1.2× 132 0.3× 176 1.0× 238 1.4× 21 1.2k
Marlène Bouvier United States 18 892 0.9× 603 1.5× 107 0.3× 196 1.1× 273 1.6× 32 1.4k
Kevin S. Kao United States 14 771 0.8× 499 1.3× 267 0.7× 283 1.6× 167 1.0× 26 1.6k
Vincent C. Luca United States 16 453 0.5× 749 1.9× 184 0.5× 447 2.6× 262 1.5× 30 1.6k
Zsuzsa Bajtay Hungary 24 886 0.9× 225 0.6× 159 0.4× 54 0.3× 134 0.8× 46 1.3k
Alexander D. Gitlin United States 16 1.8k 1.9× 802 2.0× 155 0.4× 338 1.9× 202 1.2× 19 2.5k
Jérôme Bouchet France 22 535 0.6× 846 2.2× 308 0.8× 80 0.5× 162 1.0× 35 1.6k

Countries citing papers authored by Giulia Pasqual

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Pasqual

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Pasqual

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Pasqual. A scholar is included among the top collaborators of Giulia Pasqual 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 Giulia Pasqual. Giulia Pasqual 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.
Chudnovskiy, Aleksey, et al.. (2025). The Bidirectional Interplay between T Cell–Based Immunotherapies and the Tumor Microenvironment. Cancer Immunology Research. 13(4). 463–475. 2 indexed citations
2.
Nakandakari-Higa, Sandra, Sarah K. Walker, Maria Cecília Campos Canesso, et al.. (2024). Universal recording of immune cell interactions in vivo. Nature. 627(8003). 399–406. 47 indexed citations
3.
Chudnovskiy, Aleksey, Tiago B. R. Castro, Sandra Nakandakari-Higa, et al.. (2024). Proximity-dependent labeling identifies dendritic cells that drive the tumor-specific CD4 + T cell response. Science Immunology. 9(100). eadq8843–eadq8843. 9 indexed citations
4.
Pasqual, Giulia, Aleksey Chudnovskiy, & Gabriel D. Victora. (2023). Monitoring the Interaction Between Dendritic Cells and T Cells In Vivo with LIPSTIC. Methods in molecular biology. 2618. 71–80. 2 indexed citations
5.
Iborra, Salvador, Marta Ramírez‐Huesca, Inmaculada Jorge, et al.. (2023). Immune synapse formation promotes lipid peroxidation and MHC-I upregulation in licensed dendritic cells for efficient priming of CD8+ T cells. Nature Communications. 14(1). 6772–6772. 17 indexed citations
6.
Gabbia, Daniela, et al.. (2023). Sex Drives Functional Changes in the Progression and Regression of Liver Fibrosis. International Journal of Molecular Sciences. 24(22). 16452–16452. 10 indexed citations
7.
Fusco, Laura, Arianna Gazzi, Christopher E. Shuck, et al.. (2022). Immune Profiling and Multiplexed Label‐Free Detection of 2D MXenes by Mass Cytometry and High‐Dimensional Imaging. Advanced Materials. 34(45). e2205154–e2205154. 25 indexed citations
8.
9.
Gabbia, Daniela, et al.. (2022). Investigating the effect of gender on liver fibrosis and associated sarcopenia. Digestive and Liver Disease. 54. S35–S35. 1 indexed citations
10.
Chudnovskiy, Aleksey, Giulia Pasqual, & Gabriel D. Victora. (2019). Studying interactions between dendritic cells and T cells in vivo. Current Opinion in Immunology. 58. 24–30. 51 indexed citations
11.
Pasqual, Giulia, Aleksey Chudnovskiy, Marianna Agudelo, et al.. (2018). Monitoring T cell–dendritic cell interactions in vivo by intercellular enzymatic labelling. Nature. 553(7689). 496–500. 171 indexed citations
12.
Ersching, Jonatan, Alejo Efeyan, Luka Mesin, et al.. (2017). Germinal Center Selection and Affinity Maturation Require Dynamic Regulation of mTORC1 Kinase. Immunity. 46(6). 1045–1058.e6. 225 indexed citations
13.
Mesin, Luka, Giulia Pasqual, Sasha Targ, et al.. (2016). Visualizing antibody affinity maturation in germinal centers. Science. 351(6277). 1048–1054. 313 indexed citations
14.
Pasqual, Giulia, Alessandro Angelini, & Gabriel D. Victora. (2015). Triggering Positive Selection of Germinal Center B Cells by Antigen Targeting to DEC-205. Methods in molecular biology. 1291. 125–134. 24 indexed citations
15.
Shulman, Ziv, Alexander D. Gitlin, Sasha Targ, et al.. (2013). T Follicular Helper Cell Dynamics in Germinal Centers. Science. 341(6146). 673–677. 277 indexed citations
16.
Burri, Dominique J., Giulia Pasqual, Cylia Rochat, et al.. (2012). Molecular Characterization of the Processing of Arenavirus Envelope Glycoprotein Precursors by Subtilisin Kexin Isozyme-1/Site-1 Protease. Journal of Virology. 86(9). 4935–4946. 33 indexed citations
17.
Pasqual, Giulia, Jillian M. Rojek, Mark Masin, Jean‐Yves Chatton, & Stefan Kunz. (2011). Old World Arenaviruses Enter the Host Cell via the Multivesicular Body and Depend on the Endosomal Sorting Complex Required for Transport. PLoS Pathogens. 7(9). e1002232–e1002232. 126 indexed citations
18.
Pasquato, Antonella, Cylia Rochat, Dominique J. Burri, et al.. (2011). Evaluation of the anti-arenaviral activity of the subtilisin kexin isozyme-1/site-1 protease inhibitor PF-429242. Virology. 423(1). 14–22. 43 indexed citations
19.
Pasqual, Giulia, Dominique J. Burri, Antonella Pasquato, Juan Carlos de la Torre, & Stefan Kunz. (2010). Role of the Host Cell's Unfolded Protein Response in Arenavirus Infection. Journal of Virology. 85(4). 1662–1670. 39 indexed citations
20.
Rojek, Jillian M., et al.. (2009). Targeting the Proteolytic Processing of the Viral Glycoprotein Precursor Is a Promising Novel Antiviral Strategy against Arenaviruses. Journal of Virology. 84(1). 573–584. 46 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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