F. Aerts
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
-
- Antifungal resistance and susceptibility
Papers in
-
- 14-3-3 protein interactions 2
- Oncology 7
- Cancer Treatment and Pharmacology 3
- Polyomavirus and related diseases 2
- Co-authors
- M. De Brabander (13 shared papers)Μ. Borgers (5 shared papers)G. Geuens (6 shared papers)J. Van Cutsem (3 shared papers)H. Van den Bossche (2 shared papers)Rudy Willebrords (2 shared papers)Johan De Mey (2 shared papers)Rony Nuydens (2 shared papers)
- Journals
- Mycoses (2 papers)Inflammation Research (2 papers)Biophysical Chemistry (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Chemico-Biological Interactions (1 paper)
- Partner nations
- BelgiumGermanyNetherlands
In The Last Decade
F. Aerts
25 papers receiving 547 citations
Peers
Comparison fields: 5 of 94
- Cell Biology 185
- Infectious Diseases 87
- Small Animals 29
- Immunology 75
- Molecular Biology 227
Countries citing papers authored by F. Aerts
This map shows the geographic impact of F. Aerts'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 F. Aerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Aerts more than expected).
Fields of papers citing papers by F. Aerts
This network shows the impact of papers produced by F. Aerts. 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 F. Aerts. The network helps show where F. Aerts may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Aerts, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 124 | |
| 2 | 1976 | 68 | |
| 3 | 1975 | 62 | |
| 4 | 1980 | 56 | |
| 5 | 1980 | 38 | |
| 6 | 1995 | 37 | |
| 7 | 1980 | 30 | |
| 8 | 1979 | 24 | |
| 9 | 1977 | 24 | |
| 10 | On the cytochemistry of the haemocytes of Galleria mellonella with special reference to polyphenoloxidase. | 1958 | 24 |
| 11 | 1983 | 22 | |
| 12 | 1978 | 22 | |
| 13 | 2000 | 17 | |
| 14 | 1977 | 15 | |
| 15 | 2012 | 14 | |
| 16 | 1996 | 12 | |
| 17 | 1986 | 8 | |
| 18 | 1992 | 8 | |
| 19 | 1974 | 6 | |
| 20 | 2014 | 5 |
About F. Aerts
F. Aerts is a scholar working on Molecular Biology, Oncology, Cell Biology, Epidemiology and Immunology, having authored 25 papers that have together received 627 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Antifungal resistance and susceptibility (3 papers), Cancer Treatment and Pharmacology (3 papers), Fungal Biology and Applications (3 papers), 14-3-3 protein interactions (2 papers), Polyomavirus and related diseases (2 papers), Antimicrobial Peptides and Activities (2 papers) and Intraocular Surgery and Lenses (2 papers). The work is most often cited by research in Cell Biology (185 citations), Infectious Diseases (87 citations), Small Animals (29 citations), Immunology (75 citations) and Molecular Biology (227 citations). F. Aerts has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include M. De Brabander, Μ. Borgers, G. Geuens, J. Van Cutsem, H. Van den Bossche, Rudy Willebrords, Johan De Mey, Rony Nuydens, J. Richard McIntosh and Johan Hoebeke. Their work appears in journals such as Mycoses, Inflammation Research, Biophysical Chemistry, JNCI Journal of the National Cancer Institute and Chemico-Biological Interactions.
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.