Bianca Querido

552 total citations
11 papers, 439 citations indexed

About

Bianca Querido is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Bianca Querido has authored 11 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Virology. Recurrent topics in Bianca Querido's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (7 papers). Bianca Querido is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (7 papers). Bianca Querido collaborates with scholars based in Netherlands, Portugal and United States. Bianca Querido's co-authors include Sjoerd H. van der Burg, Thorbald van Hall, Marjolein Sluijter, Cláudia C. Oliveira, Sandra Laban, Arnoud de Ru, Jan W. Drijfhout, Peter A. van Veelen, Rienk Offringa and Elien M. Doorduijn and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Bianca Querido

11 papers receiving 437 citations

Peers

Bianca Querido
Marc Potempa United States
Fiorella Rossi United States
Hema Desai United States
Astrid Melotti Switzerland
Madhura Mukhopadhyay United States
Leah M. Henry United States
Bianca Querido
Citations per year, relative to Bianca Querido Bianca Querido (= 1×) peers Nathalie Bosquet

Countries citing papers authored by Bianca Querido

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Querido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Querido

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

All Works

11 of 11 papers shown
1.
Doorduijn, Elien M., Marjolein Sluijter, Bianca Querido, et al.. (2018). T Cells Engaging the Conserved MHC Class Ib Molecule Qa-1b with TAP-Independent Peptides Are Semi-Invariant Lymphocytes. Frontiers in Immunology. 9. 60–60. 27 indexed citations
2.
Doorduijn, Elien M., Marjolein Sluijter, Koen A. Marijt, et al.. (2017). T cells specific for a TAP-independent self-peptide remain naïve in tumor-bearing mice and are fully exploitable for therapy. OncoImmunology. 7(3). e1382793–e1382793. 20 indexed citations
3.
Doorduijn, Elien M., Marjolein Sluijter, Bianca Querido, et al.. (2016). TAP-independent self-peptides enhance T cell recognition of immune-escaped tumors. Journal of Clinical Investigation. 126(2). 784–794. 55 indexed citations
4.
Oliveira, Cláudia C., Marjolein Sluijter, Bianca Querido, et al.. (2014). Dominant contribution of the proteasome and metalloproteinases to TAP-independent MHC-I peptide repertoire. Molecular Immunology. 62(1). 129–136. 12 indexed citations
5.
Oliveira, Cláudia C., Bianca Querido, Marjolein Sluijter, et al.. (2013). New Role of Signal Peptide Peptidase To Liberate C-Terminal Peptides for MHC Class I Presentation. The Journal of Immunology. 191(8). 4020–4028. 33 indexed citations
6.
Oliveira, Cláudia C., Bianca Querido, Marjolein Sluijter, et al.. (2011). Peptide transporter TAP mediates between competing antigen sources generating distinct surface MHC class I peptide repertoires. European Journal of Immunology. 41(11). 3114–3124. 30 indexed citations
7.
Lampen, Margit H., Marieke C. Verweij, Bianca Querido, et al.. (2010). CD8+ T Cell Responses against TAP-Inhibited Cells Are Readily Detected in the Human Population. The Journal of Immunology. 185(11). 6508–6517. 33 indexed citations
8.
Oliveira, Cláudia C., Peter A. van Veelen, Bianca Querido, et al.. (2010). The nonpolymorphic MHC Qa-1b mediates CD8+ T cell surveillance of antigen-processing defects. The Journal of Experimental Medicine. 207(3). 671–671. 70 indexed citations
9.
Oliveira, Cláudia C., Peter A. van Veelen, Bianca Querido, et al.. (2009). The nonpolymorphic MHC Qa-1b mediates CD8+ T cell surveillance of antigen-processing defects. The Journal of Experimental Medicine. 207(1). 207–221. 78 indexed citations
11.
Cocklin, Simon, Hosahudya N. Gopi, Bianca Querido, et al.. (2007). Broad-Spectrum Anti-Human Immunodeficiency Virus (HIV) Potential of a Peptide HIV Type 1 Entry Inhibitor. Journal of Virology. 81(7). 3645–3648. 39 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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