Birkir Reynisson
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 8
- Enzyme Catalysis and Immobilization 1
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Morten Nielsen (8 shared papers)Bjoern Peters (2 shared papers)Bruno Alvarez (2 shared papers)Sinu Paul (1 shared paper)Carolina Barra (5 shared papers)Saghar Kaabinejadian (1 shared paper)William H. Hildebrand (1 shared paper)Søren Buus (3 shared papers)
- Journals
- FEMS Microbiology Ecology (1 paper)The Journal of Immunology (1 paper)Immunology (1 paper)Journal of Proteome Research (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- ArgentinaDenmarkUnited Kingdom
In The Last Decade
Birkir Reynisson
9 papers receiving 1.6k citations
Birkir Reynisson's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 842
- Radiology, Nuclear Medicine and Imaging 472
- Molecular Biology 1.2k
- Infectious Diseases 313
- Virology 50
Countries citing papers authored by Birkir Reynisson
This map shows the geographic impact of Birkir Reynisson'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 Birkir Reynisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birkir Reynisson more than expected).
Fields of papers citing papers by Birkir Reynisson
This network shows the impact of papers produced by Birkir Reynisson. 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 Birkir Reynisson. The network helps show where Birkir Reynisson may publish in the future.
Co-authors
The 25 scholars most cited alongside Birkir Reynisson, 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 | 1192 |
| 2 | Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data Hit paper breakdown → | 2020 | 272 |
| 3 | 2019 | 85 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 12 | |
| 7 | 2014 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 0 |
About Birkir Reynisson
Birkir Reynisson is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Ecology, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (2 papers), Bacteriophages and microbial interactions (1 paper), Biofuel production and bioconversion (1 paper), Plant Virus Research Studies (1 paper), CAR-T cell therapy research (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Immunology (842 citations), Radiology, Nuclear Medicine and Imaging (472 citations), Molecular Biology (1.2k citations), Infectious Diseases (313 citations) and Virology (50 citations). Birkir Reynisson has collaborated with scholars based in Argentina, Denmark and United Kingdom. Frequent co-authors include Morten Nielsen, Bjoern Peters, Bruno Alvarez, Sinu Paul, Carolina Barra, Saghar Kaabinejadian, William H. Hildebrand, Søren Buus, Nicola Ternette and Massimo Andreatta. Their work appears in journals such as FEMS Microbiology Ecology, The Journal of Immunology, Immunology, Journal of Proteome Research and Molecular & Cellular Proteomics.
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.