E. De Maeyer
- Immunology top 5%
- interferon and immune responses 17
- Immune Cell Function and Interaction 7
- Virology top 5%
- HIV Research and Treatment 5
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 7
- Epidemiology top 10%
- Virology and Viral Diseases 8
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- Virus-based gene therapy research 8
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- Viral Infectious Diseases and Gene Expression in Insects 6
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- Viral Infections and Immunology Research 6
- Co-authors
- Jaqueline De Maeyer‐GuignardMichaël G. ToveyIon GresserMichel VandeputteM.N. ThangDonald W. BaileyP. De SomerJohn F. Enders
- Cited by
- ImmunologyVirologyOncology
- Journals
- Nature (5 papers)Proceedings of the National Academy of Sciences (8 papers)Nucleic Acids Research (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
E. De Maeyer
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Immunology 766
- Virology 80
- Oncology 329
- Epidemiology 277
- Radiology, Nuclear Medicine and Imaging 182
Countries citing papers authored by E. De Maeyer
This map shows the geographic impact of E. De Maeyer'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 E. De Maeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. De Maeyer more than expected).
Fields of papers citing papers by E. De Maeyer
This network shows the impact of papers produced by E. De Maeyer. 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 E. De Maeyer. The network helps show where E. De Maeyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. De Maeyer, 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 | 2002 | 72 | |
| 2 | 2002 | 16 | |
| 3 | 1994 | 3 | |
| 4 | 1992 | 64 | |
| 5 | 1988 | 6 | |
| 6 | 1985 | 1 | |
| 7 | 1984 | 2 | |
| 8 | 1983 | 3 | |
| 9 | 1982 | 33 | |
| 10 | 1982 | 11 | |
| 11 | 1977 | 8 | |
| 12 | Le chromophore du bleu dextran: un ligand puissant pour la purification de l'interféron par chromatographie d'affinité | 1976 | 2 |
| 13 | 1975 | 100 | |
| 14 | 1970 | 17 | |
| 15 | 1968 | 16 | |
| 16 | 1967 | 3 | |
| 17 | 1962 | 11 | |
| 18 | 1962 | 29 | |
| 19 | 1961 | 46 | |
| 20 | 1958 | 3 |
About E. De Maeyer
E. De Maeyer is a scholar working on Immunology, Virology and Animal Science and Zoology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include interferon and immune responses (17 papers), Virus-based gene therapy research (8 papers), Virology and Viral Diseases (8 papers), Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Viral Infections and Immunology Research (6 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Immunology (766 citations), Virology (80 citations) and Oncology (329 citations). E. De Maeyer has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Jaqueline De Maeyer‐Guignard, Michaël G. Tovey, Ion Gresser, Michel Vandeputte, M.N. Thang, Donald W. Bailey, P. De Somer, John F. Enders, Rainer Zawatzky and P. Jullien. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.