Max De Wilde
Impact in
- Virology top 10%
- HIV Research and Treatment
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
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- RNA and protein synthesis mechanisms 5
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- Semantic Web and Ontologies 9
- Natural Language Processing Techniques 4
- Co-authors
- Teresa Cabezón (12 shared papers)Marc Van Montagu (2 shared papers)Ann Depicker (2 shared papers)Ruben Verborgh (7 shared papers)Guido De Vos (1 shared paper)J. Schell (1 shared paper)Alex Bollen (6 shared papers)Raimundo Villarroel (4 shared papers)
In The Last Decade
Max De Wilde
31 papers receiving 972 citations
Peers
Comparison fields: 5 of 108
- Virology 73
- Biotechnology 144
- Microbiology 71
- Molecular Biology 669
- Plant Science 288
Countries citing papers authored by Max De Wilde
This map shows the geographic impact of Max De Wilde'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 Max De Wilde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max De Wilde more than expected).
Fields of papers citing papers by Max De Wilde
This network shows the impact of papers produced by Max De Wilde. 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 Max De Wilde. The network helps show where Max De Wilde may publish in the future.
Co-authors
The 25 scholars most cited alongside Max De Wilde, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 205 | |
| 2 | 1979 | 147 | |
| 3 | 1990 | 85 | |
| 4 | 1986 | 67 | |
| 5 | 1989 | 56 | |
| 6 | 2013 | 55 | |
| 7 | 1984 | 52 | |
| 8 | 1988 | 50 | |
| 9 | 1976 | 49 | |
| 10 | Expression of hepatitis B surface antigen in yeast. | 1983 | 46 |
| 11 | 1975 | 39 | |
| 12 | 1987 | 37 | |
| 13 | Using OpenRefine | 2013 | 33 |
| 14 | 1989 | 30 | |
| 15 | Construction and characterization of a Saccharomyces cerevisiae strain (RIT4376) expressing hepatitis B surface antigen. | 1987 | 27 |
| 16 | 1991 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 1977 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 1978 | 9 |
About Max De Wilde
Max De Wilde is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Ecology and Epidemiology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Library Science and Information Systems (5 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (5 papers), Natural Language Processing Techniques (4 papers), Bacterial Genetics and Biotechnology (4 papers), Hepatitis B Virus Studies (3 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Virology (73 citations), Biotechnology (144 citations), Microbiology (71 citations), Molecular Biology (669 citations) and Plant Science (288 citations). Max De Wilde has collaborated with scholars based in Belgium, Canada and Germany. Frequent co-authors include Teresa Cabezón, Marc Van Montagu, Ann Depicker, Ruben Verborgh, Guido De Vos, J. Schell, Alex Bollen, Raimundo Villarroel, M Legrain and François Hilger. Their work appears in journals such as Gene, Proceedings of the National Academy of Sciences, Infection and Immunity, AIDS and Journal of Immunological Methods.
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.