G. Matthyssens
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- T-cell and B-cell Immunology
Papers in
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- Glycosylation and Glycoproteins Research 9
- Epidemiology 13
- Trypanosoma species research and implications 11
- Co-authors
- Terence H. Rabbitts (5 shared papers)Marc Lauwereys (2 shared papers)Christian Cambillau (1 shared paper)Chrislaine Martinez (1 shared paper)Pieter de Geus (1 shared paper)R. Hamers (8 shared papers)Susumu Tonegawa (4 shared papers)N. Van Meirvenne (4 shared papers)
- Journals
- Nature (5 papers)European Journal of Biochemistry (3 papers)Gene (2 papers)Cell (2 papers)Thrombosis and Haemostasis (2 papers)
- Partner nations
- BelgiumUnited KingdomFrance
In The Last Decade
G. Matthyssens
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 399
- Immunology 365
- Epidemiology 506
- Hematology 155
- Parasitology 87
Countries citing papers authored by G. Matthyssens
This map shows the geographic impact of G. Matthyssens'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 G. Matthyssens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Matthyssens more than expected).
Fields of papers citing papers by G. Matthyssens
This network shows the impact of papers produced by G. Matthyssens. 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 G. Matthyssens. The network helps show where G. Matthyssens may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Matthyssens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 356 | |
| 2 | 1980 | 175 | |
| 3 | 1980 | 152 | |
| 4 | 1977 | 93 | |
| 5 | 1989 | 83 | |
| 6 | 1983 | 75 | |
| 7 | 1981 | 70 | |
| 8 | 1985 | 66 | |
| 9 | 1980 | 54 | |
| 10 | 1992 | 52 | |
| 11 | 1983 | 48 | |
| 12 | 1983 | 45 | |
| 13 | 1991 | 45 | |
| 14 | 1983 | 45 | |
| 15 | 1988 | 42 | |
| 16 | 1991 | 40 | |
| 17 | 1986 | 36 | |
| 18 | 1993 | 35 | |
| 19 | 1995 | 30 | |
| 20 | 1977 | 25 |
About G. Matthyssens
G. Matthyssens is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (11 papers), Glycosylation and Glycoproteins Research (9 papers), Research on Leishmaniasis Studies (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cell Adhesion Molecules Research (3 papers), Escherichia coli research studies (3 papers), Enzyme Structure and Function (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (399 citations), Immunology (365 citations), Epidemiology (506 citations), Hematology (155 citations) and Parasitology (87 citations). G. Matthyssens has collaborated with scholars based in Belgium, United Kingdom and France. Frequent co-authors include Terence H. Rabbitts, Marc Lauwereys, Christian Cambillau, Chrislaine Martinez, Pieter de Geus, R. Hamers, Susumu Tonegawa, N. Van Meirvenne, M. Steinert and Étienne Pays. Their work appears in journals such as Nature, European Journal of Biochemistry, Gene, Cell and Thrombosis and Haemostasis.
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.