Carolina Barra

2.7k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Carolina Barra is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Carolina Barra has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Immunology. Recurrent topics in Carolina Barra's work include vaccines and immunoinformatics approaches (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and T-cell and B-cell Immunology (5 papers). Carolina Barra is often cited by papers focused on vaccines and immunoinformatics approaches (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and T-cell and B-cell Immunology (5 papers). Carolina Barra collaborates with scholars based in Denmark, Argentina and United States. Carolina Barra's co-authors include Morten Nielsen, Birkir Reynisson, Bjoern Peters, William H. Hildebrand, Saghar Kaabinejadian, Bruno Alvarez, Massimo Andreatta, Andrea Cerutti, Irene Puga and Montserrat Cols and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Carolina Barra

21 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data

2020 272 citations Birkir Reynisson, Carolina Barra et al. Journal of Proteome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carolina Barra Denmark	14	746	615	280	172	97	23	1.1k
Jinghua Lu United States	19	993 1.3×	601 1.0×	327 1.2×	259 1.5×	81 0.8×	32	1.6k
Nilufer P. Seth United States	20	891 1.2×	277 0.5×	133 0.5×	132 0.8×	73 0.8×	24	1.3k
Ulrich Moebius Germany	18	753 1.0×	350 0.6×	229 0.8×	276 1.6×	39 0.4×	49	1.3k
Angelika B. Riemer Germany	25	968 1.3×	960 1.6×	628 2.2×	419 2.4×	161 1.7×	57	2.0k
Krystyna M. Olkiewicz United States	14	523 0.7×	378 0.6×	100 0.4×	205 1.2×	96 1.0×	19	1.0k
Bonita Rup United States	19	757 1.0×	693 1.1×	685 2.4×	235 1.4×	51 0.5×	27	1.5k
Venky Ramakrishna United States	13	871 1.2×	495 0.8×	113 0.4×	334 1.9×	48 0.5×	19	1.1k
Jacinto López‐Sagaseta Spain	16	483 0.6×	282 0.5×	82 0.3×	113 0.7×	39 0.4×	25	1.0k
Andrew Worth United Kingdom	16	1.1k 1.4×	333 0.5×	266 0.9×	272 1.6×	29 0.3×	23	1.5k
Patricia K. A. Mongini United States	25	1.3k 1.7×	339 0.6×	442 1.6×	225 1.3×	64 0.7×	58	1.7k

Countries citing papers authored by Carolina Barra

Since Specialization

Citations

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

Fields of papers citing papers by Carolina Barra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Barra

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Barra, Carolina, et al.. (2025). Autoimmune associated HLAs and T cell autoantigens exhibit common patterns across several autoimmune diseases. Journal of Autoimmunity. 155. 103443–103443.

Barra, Carolina, et al.. (2024). In Silico Tools for Predicting Novel Epitopes. Methods in molecular biology. 2813. 245–280. 1 indexed citations

Barra, Carolina, Zhicheng Zhou, Peng Xu, et al.. (2024). MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer. Nature Communications. 15(1). 661–661. 6 indexed citations

Kaabinejadian, Saghar, Bjoern Peters, Carolina Barra, et al.. (2023). Machine learning reveals limited contribution of trans-only encoded variants to the HLA-DQ immunopeptidome. Communications Biology. 6(1). 442–442. 29 indexed citations

Borch, Annie, Anne-Mette Bjerregaard, Oľga Østrup, et al.. (2023). Neoepitope load, T cell signatures and PD-L2 as combined biomarker strategy for response to checkpoint inhibition immunotherapy. Frontiers in Genetics. 14. 1058605–1058605.

Sackett, Peter Wad, et al.. (2023). NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity prediction. Bioinformatics Advances. 3(1). vbad151–vbad151. 10 indexed citations

Kaabinejadian, Saghar, et al.. (2022). Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR Immunopeptidome. Frontiers in Immunology. 13. 835454–835454. 44 indexed citations

Reynisson, Birkir, Carolina Barra, Saghar Kaabinejadian, et al.. (2020). Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data. Journal of Proteome Research. 19(6). 2304–2315. 272 indexed citations breakdown →

Barra, Carolina, Chloé Ackaert, Birkir Reynisson, et al.. (2020). Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction. Frontiers in Immunology. 11. 1304–1304. 21 indexed citations

10.

Barra, Carolina, Birkir Reynisson, Heidi S. Schultz, et al.. (2020). Improved prediction of HLA antigen presentation hotspots: Applications for immunogenicity risk assessment of therapeutic proteins. Immunology. 162(2). 208–219. 12 indexed citations

11.

Alvarez, Bruno, Birkir Reynisson, Carolina Barra, et al.. (2019). NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions. Molecular & Cellular Proteomics. 18(12). 2459–2477. 85 indexed citations

12.

Barra, Carolina, Bruno Alvarez, Sinu Paul, et al.. (2018). Footprints of antigen processing boost MHC class II natural ligand predictions. Genome Medicine. 10(1). 84–84. 61 indexed citations

13.

Alvarez, Bruno, Carolina Barra, Morten Nielsen, & Massimo Andreatta. (2018). Computational Tools for the Identification and Interpretation of Sequence Motifs in Immunopeptidomes. PROTEOMICS. 18(12). e1700252–e1700252. 35 indexed citations

14.

Bjerregaard, Anne-Mette, Morten Nielsen, Vanessa Jurtz, et al.. (2017). An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes. Frontiers in Immunology. 8. 1566–1566. 87 indexed citations

15.

Magri, Giuliana, Michio Miyajima, Arthur Mortha, et al.. (2014). Innate lymphoid cells integrate stromal and immunological signals to enhance antibody production by splenic marginal zone B cells. Nature Immunology. 15(4). 354–364. 221 indexed citations

16.

Kerzerho, Jérôme, Esther Dawen Yu, Carolina Barra, et al.. (2012). Structural and Functional Characterization of a Novel Nonglycosidic Type I NKT Agonist with Immunomodulatory Properties. The Journal of Immunology. 188(5). 2254–2265. 24 indexed citations

17.

Cols, Montserrat, Carolina Barra, Bing He, et al.. (2012). Stromal Endothelial Cells Establish a Bidirectional Crosstalk with Chronic Lymphocytic Leukemia Cells through the TNF-Related Factors BAFF, APRIL, and CD40L. The Journal of Immunology. 188(12). 6071–6083. 70 indexed citations

18.

Cerutti, Andrea, Montserrat Cols, Linda Cassis, et al.. (2011). Regulation of mucosal IgA responses: lessons from primary immunodeficiencies. Annals of the New York Academy of Sciences. 1238(1). 132–144. 42 indexed citations

19.

Harrak, Youssef, Carolina Barra, Antonio Delgado, A. Raúl Castaño, & Amadeu Llebaria. (2011). Galacto-Configured Aminocyclitol Phytoceramides Are Potent in Vivo Invariant Natural Killer T Cell Stimulators. Journal of the American Chemical Society. 133(31). 12079–12084. 37 indexed citations

20.

Harrak, Youssef, Carolina Barra, Carmen Bedia, et al.. (2009). Aminocyclitol‐Substituted Phytoceramides and their Effects on iNKT Cell Stimulation. ChemMedChem. 4(10). 1608–1613. 19 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.

Explore authors with similar magnitude of impact