Bruno Alvarez
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- vaccines and immunoinformatics approaches 6
- Glycosylation and Glycoproteins Research 1
- Protein Degradation and Inhibitors 1
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Morten Nielsen (6 shared papers)Birkir Reynisson (2 shared papers)Bjoern Peters (2 shared papers)Sinu Paul (2 shared papers)Massimo Andreatta (4 shared papers)Carolina Barra (4 shared papers)Søren Buus (2 shared papers)Nicola Ternette (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Molecular & Cellular Proteomics (1 paper)PROTEOMICS (1 paper)Genome Medicine (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- DenmarkArgentinaUnited States
In The Last Decade
Bruno Alvarez
6 papers receiving 1.7k citations
Bruno Alvarez's Hit Papers
Peers
Comparison fields: 5 of 75
- Immunology 794
- Radiology, Nuclear Medicine and Imaging 453
- Molecular Biology 1.3k
- Infectious Diseases 238
- Oncology 274
Countries citing papers authored by Bruno Alvarez
This map shows the geographic impact of Bruno Alvarez'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 Bruno Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Alvarez more than expected).
Fields of papers citing papers by Bruno Alvarez
This network shows the impact of papers produced by Bruno Alvarez. 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 Bruno Alvarez. The network helps show where Bruno Alvarez may publish in the future.
Co-authors
The 11 scholars most cited alongside Bruno Alvarez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data Hit paper breakdown → | 2020 | 1307 |
| 2 | 2017 | 144 | |
| 3 | 2019 | 91 | |
| 4 | 2018 | 68 | |
| 5 | 2022 | 52 | |
| 6 | 2018 | 36 |
About Bruno Alvarez
Bruno Alvarez is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Spectroscopy, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper), Protein Degradation and Inhibitors (1 paper), T-cell and B-cell Immunology (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Immunology (794 citations), Radiology, Nuclear Medicine and Imaging (453 citations), Molecular Biology (1.3k citations), Infectious Diseases (238 citations) and Oncology (274 citations). Bruno Alvarez has collaborated with scholars based in Denmark, Argentina and United States. Frequent co-authors include Morten Nielsen, Birkir Reynisson, Bjoern Peters, Sinu Paul, Massimo Andreatta, Carolina Barra, Søren Buus, Nicola Ternette, Saghar Kaabinejadian and William H. Hildebrand. Their work appears in journals such as Nucleic Acids Research, Molecular & Cellular Proteomics, PROTEOMICS, Genome Medicine and Frontiers in Immunology.
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.