Carolina Barra
- Co-authors
- Morten NielsenBirkir ReynissonBjoern PetersWilliam H. HildebrandSaghar KaabinejadianBruno AlvarezMassimo AndreattaAndrea Cerutti
- Topics
- vaccines and immunoinformatics approaches (14 papers)Monoclonal and Polyclonal Antibodies Research (13 papers)T-cell and B-cell Immunology (5 papers)
- Journals
- Journal of the American Chemical SocietyNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- DenmarkArgentinaUnited States
In The Last Decade
Carolina Barra
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Immunology 746
- Molecular Biology 615
- Radiology, Nuclear Medicine and Imaging 280
- Oncology 172
- Surgery 97
Countries citing papers authored by Carolina Barra
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 29 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 44 | |
| 8 | 6 | |
| 9 | Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Databreakdown → | 272 |
| 10 | 12 | |
| 11 | 21 | |
| 12 | 85 | |
| 13 | 61 | |
| 14 | 35 | |
| 15 | 87 | |
| 16 | 221 | |
| 17 | 70 | |
| 18 | 24 | |
| 19 | 42 | |
| 20 | 19 |
About Carolina Barra
Carolina Barra is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (746 citations), Radiology, Nuclear Medicine and Imaging (280 citations) and Molecular Biology (615 citations). Carolina Barra has collaborated with scholars based in Denmark, Argentina and United States. Frequent 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. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.
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.