Francis Brasseur
- Immunology top 0.5%
- Immunotherapy and Immune Responses 38
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 14
- Oncology top 2%
- CAR-T cell therapy research 3
- Molecular Biology top 5%
- vaccines and immunoinformatics approaches 13
- RNA Interference and Gene Delivery 12
- Glycosylation and Glycoproteins Research 4
- Hematology top 10%
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- Virus-based gene therapy research 3
- Co-authors
- Thierry BoonPierre van der BruggenEtienne De PlaenPierre G. CoulieBenoı̂t J. Van den EyndeChristophe LurquinCharles De SmetBernard Lethé
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Experimental Medicine (4 papers)Blood (1 paper)
- Partner nations
- BelgiumFranceSwitzerland
In The Last Decade
Francis Brasseur
46 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 2.8k
- Oncology 1.3k
- Molecular Biology 1.9k
- Hematology 140
- Radiology, Nuclear Medicine and Imaging 242
Countries citing papers authored by Francis Brasseur
This map shows the geographic impact of Francis Brasseur'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 Francis Brasseur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Brasseur more than expected).
Fields of papers citing papers by Francis Brasseur
This network shows the impact of papers produced by Francis Brasseur. 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 Francis Brasseur. The network helps show where Francis Brasseur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francis Brasseur, 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 | 2011 | 28 | |
| 2 | 2007 | 99 | |
| 3 | 2007 | 49 | |
| 4 | 2006 | 18 | |
| 5 | 2006 | 57 | |
| 6 | 2006 | 12 | |
| 7 | 2004 | 176 | |
| 8 | 2003 | 32 | |
| 9 | 2002 | 311 | |
| 10 | 2000 | 38 | |
| 11 | 2000 | 78 | |
| 12 | 1999 | 180 | |
| 13 | 1998 | 57 | |
| 14 | 1997 | 17 | |
| 15 | 1996 | 43 | |
| 16 | Genes encoding human tumor-antigens recognized by cytolytic T-lymphocytes | 1995 | 2 |
| 17 | 1995 | 124 | |
| 18 | Structure, chromosomal localization, and expression of 12 genes of the MAGE familybreakdown → | 1994 | 513 |
| 19 | 1993 | 42 | |
| 20 | 1992 | 110 |
About Francis Brasseur
Francis Brasseur is a scholar working on Immunology, Molecular Biology and Oncology, having authored 46 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (38 papers), T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (14 papers), vaccines and immunoinformatics approaches (13 papers), RNA Interference and Gene Delivery (12 papers), Glycosylation and Glycoproteins Research (4 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (2.8k citations), Oncology (1.3k citations) and Molecular Biology (1.9k citations). Francis Brasseur has collaborated with scholars based in Belgium, France and Switzerland. Frequent co-authors include Thierry Boon, Pierre van der Bruggen, Etienne De Plaen, Pierre G. Coulie, Benoı̂t J. Van den Eynde, Christophe Lurquin, Charles De Smet, Bernard Lethé, Susanna Mandruzzato and Guy Andry. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.
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.