Sven Eyckerman
Impact in
-
- Regulation of Appetite and Obesity
- Cell Biology top 5%
- Biotin and Related Studies
Papers in
-
- Bioinformatics and Genomic Networks 9
- RNA and protein synthesis mechanisms 8
- CRISPR and Genetic Engineering 6
- Oncology 14
- Cytokine Signaling Pathways and Interactions 10
- Co-authors
- Jan Tavernier (33 shared papers)Joël Vandekerckhove (10 shared papers)Annick Verhee (14 shared papers)Irma Lemmens (11 shared papers)Kris Gevaert (21 shared papers)Delphine Lavens (5 shared papers)Frank Peelman (6 shared papers)Lennart Zabeau (4 shared papers)
- Journals
- Journal of Proteome Research (4 papers)Scientific Reports (4 papers)Biochemical Journal (3 papers)Mass Spectrometry Reviews (3 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- BelgiumUnited KingdomGermany
In The Last Decade
Sven Eyckerman
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Endocrine and Autonomic Systems 308
- Cell Biology 279
- Molecular Biology 961
- Immunology 266
- Oncology 295
Countries citing papers authored by Sven Eyckerman
This map shows the geographic impact of Sven Eyckerman'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 Sven Eyckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Eyckerman more than expected).
Fields of papers citing papers by Sven Eyckerman
This network shows the impact of papers produced by Sven Eyckerman. 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 Sven Eyckerman. The network helps show where Sven Eyckerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Eyckerman, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 161 | |
| 2 | 2003 | 158 | |
| 3 | 2000 | 122 | |
| 4 | 2010 | 103 | |
| 5 | 2004 | 89 | |
| 6 | 2009 | 78 | |
| 7 | 2018 | 71 | |
| 8 | 2018 | 70 | |
| 9 | 2012 | 69 | |
| 10 | 2020 | 52 | |
| 11 | 2019 | 51 | |
| 12 | 2006 | 50 | |
| 13 | 2000 | 50 | |
| 14 | 2005 | 45 | |
| 15 | Comparison of leptin- and interleukin-6-regulated expression of the rPAP gene family: evidence for differential co-regulatory signals. | 2002 | 41 |
| 16 | 2016 | 35 | |
| 17 | Analysis of Tyr to Phe and fa/fa leptin receptor mutations in the PC12 cell line. | 1999 | 33 |
| 18 | 2021 | 30 | |
| 19 | 2015 | 29 | |
| 20 | 2010 | 28 |
About Sven Eyckerman
Sven Eyckerman is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Spectroscopy, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biotin and Related Studies (11 papers), Cytokine Signaling Pathways and Interactions (10 papers), Bioinformatics and Genomic Networks (9 papers), Advanced Proteomics Techniques and Applications (8 papers), RNA and protein synthesis mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Regulation of Appetite and Obesity (7 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (308 citations), Cell Biology (279 citations), Molecular Biology (961 citations), Immunology (266 citations) and Oncology (295 citations). Sven Eyckerman has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Jan Tavernier, Joël Vandekerckhove, Annick Verhee, Irma Lemmens, Kris Gevaert, Delphine Lavens, Frank Peelman, Lennart Zabeau, D. Broekaert and Delphine De Sutter. Their work appears in journals such as Journal of Proteome Research, Scientific Reports, Biochemical Journal, Mass Spectrometry Reviews and Molecular & Cellular Proteomics.
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.