Benny Decock
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Oncology top 10%
- Chemokine receptors and signaling
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 10
- Chemokine receptors and signaling 7
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Jo Van Damme (13 shared papers)René Conings (6 shared papers)Alfons Billiau (6 shared papers)Jean‐Pierre Lenaerts (5 shared papers)Herman VAN DEN BERGHE (1 shared paper)Peter Marynen (1 shared paper)J J Cassiman (1 shared paper)Guido David (1 shared paper)
- Journals
- European Journal of Immunology (3 papers)European Journal of Biochemistry (3 papers)Biochemical and Biophysical Research Communications (1 paper)Cytokine (1 paper)FEBS Letters (1 paper)
- Partner nations
- BelgiumItalyUnited States
In The Last Decade
Benny Decock
17 papers receiving 1k citations
Peers
Comparison fields: 5 of 68
- Cell Biology 209
- Oncology 320
- Immunology 153
- Molecular Biology 254
- Immunology and Allergy 13
Countries citing papers authored by Benny Decock
This map shows the geographic impact of Benny Decock'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 Benny Decock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benny Decock more than expected).
Fields of papers citing papers by Benny Decock
This network shows the impact of papers produced by Benny Decock. 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 Benny Decock. The network helps show where Benny Decock may publish in the future.
Co-authors
The 25 scholars most cited alongside Benny Decock, 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 | 1990 | 254 | |
| 2 | 1989 | 129 | |
| 3 | 1988 | 122 | |
| 4 | 1991 | 111 | |
| 5 | 1989 | 91 | |
| 6 | 1989 | 84 | |
| 7 | 1990 | 82 | |
| 8 | 1991 | 45 | |
| 9 | 1990 | 33 | |
| 10 | 1990 | 29 | |
| 11 | 1991 | 27 | |
| 12 | 1991 | 22 | |
| 13 | Interferon-gamma is cytotoxic for normal mouse fibroblasts: enhancement by tumor necrosis factor and interleukin 1. | 1989 | 16 |
| 14 | 1990 | 9 | |
| 15 | 1988 | 6 | |
| 16 | 1987 | 2 | |
| 17 | 1989 | 1 | |
| 18 | 1989 | 1 | |
| 19 | 1986 | 0 |
About Benny Decock
Benny Decock is a scholar working on Oncology, Immunology, Hematology, Cancer Research and Cell Biology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (7 papers), Cytokine Signaling Pathways and Interactions (3 papers), Plant Reproductive Biology (2 papers), Glycosylation and Glycoproteins Research (1 paper), Protease and Inhibitor Mechanisms (1 paper), Bacteriophages and microbial interactions (1 paper), Plant Molecular Biology Research (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cell Biology (209 citations), Oncology (320 citations), Immunology (153 citations), Molecular Biology (254 citations) and Immunology and Allergy (13 citations). Benny Decock has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Jo Van Damme, René Conings, Alfons Billiau, Jean‐Pierre Lenaerts, Herman VAN DEN BERGHE, Peter Marynen, J J Cassiman, Guido David, Jozef VAN BEEUMEN and Ghislain Opdenakker. Their work appears in journals such as European Journal of Immunology, European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Cytokine and FEBS Letters.
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.