Christine Decaestecker
Impact in
- Immunology top 1%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Biophysics top 0.5%
- Cell Image Analysis Techniques
Papers in
-
- Glycosylation and Glycoproteins Research 18
- S100 Proteins and Annexins 15
- Oncology 65
- Peptidase Inhibition and Analysis 19
- Co-authors
- Róbert Kiss (106 shared papers)Isabelle Salmon (136 shared papers)Olivier Debeir (52 shared papers)Hans‐Joachim Gabius (45 shared papers)Sandrine Rorive (32 shared papers)Philippe Van Ham (18 shared papers)Isabelle Camby (27 shared papers)Sven Saussez (26 shared papers)
In The Last Decade
Christine Decaestecker
277 papers receiving 8.5k citations
Peers
Comparison fields: 5 of 184
- Immunology 2.2k
- Biophysics 514
- Genetics 704
- Cancer Research 937
- Oncology 1.6k
Countries citing papers authored by Christine Decaestecker
This map shows the geographic impact of Christine Decaestecker'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 Christine Decaestecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Decaestecker more than expected).
Fields of papers citing papers by Christine Decaestecker
This network shows the impact of papers produced by Christine Decaestecker. 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 Christine Decaestecker. The network helps show where Christine Decaestecker may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine Decaestecker, 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 287 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 217 | |
| 2 | 2020 | 191 | |
| 3 | 2002 | 164 | |
| 4 | 2007 | 163 | |
| 5 | 2002 | 152 | |
| 6 | 2009 | 148 | |
| 7 | 2005 | 140 | |
| 8 | 2006 | 136 | |
| 9 | 2006 | 135 | |
| 10 | 2003 | 134 | |
| 11 | 2001 | 131 | |
| 12 | 2001 | 130 | |
| 13 | 2007 | 126 | |
| 14 | 2005 | 114 | |
| 15 | 2011 | 109 | |
| 16 | 2010 | 106 | |
| 17 | 2015 | 103 | |
| 18 | 1999 | 100 | |
| 19 | 2007 | 97 | |
| 20 | 2010 | 97 |
About Christine Decaestecker
Christine Decaestecker is a scholar working on Molecular Biology, Oncology, Immunology, Artificial Intelligence and Cancer Research, having authored 287 papers that have together received 8.7k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (47 papers), Cell Image Analysis Techniques (27 papers), AI in cancer detection (26 papers), Glioma Diagnosis and Treatment (22 papers), Peptidase Inhibition and Analysis (19 papers), Glycosylation and Glycoproteins Research (18 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and S100 Proteins and Annexins (15 papers). The work is most often cited by research in Immunology (2.2k citations), Biophysics (514 citations), Genetics (704 citations), Cancer Research (937 citations) and Oncology (1.6k citations). Christine Decaestecker has collaborated with scholars based in Belgium, France and Germany. Frequent co-authors include Róbert Kiss, Isabelle Salmon, Olivier Debeir, Hans‐Joachim Gabius, Sandrine Rorive, Philippe Van Ham, Isabelle Camby, Sven Saussez, Herbert Kaltner and Nikoletta Nagy. Their work appears in journals such as International Journal of Oncology, Journal of Neuropathology & Experimental Neurology, PLoS ONE, Journal of Cancer Research and Clinical Oncology and Neuropathology and Applied Neurobiology.
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.