Saskia Scheij
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Glycosylation and Glycoproteins Research 7
- Studies on Chitinases and Chitosanases 6
- Peroxisome Proliferator-Activated Receptors 3
-
- Carbohydrate Chemistry and Synthesis 16
- Co-authors
- Johannes M. F. G. Aerts (23 shared papers)Rolf G. Boot (17 shared papers)Herman S. Overkleeft (15 shared papers)Noam Zelcer (11 shared papers)Carla E. M. Hollak (4 shared papers)Roelof Ottenhoff (13 shared papers)J.E.M. Groener (3 shared papers)María Pía Ferraz (3 shared papers)
- Journals
- FEBS Letters (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Atherosclerosis (2 papers)Journal of Lipid Research (2 papers)ChemBioChem (2 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Saskia Scheij
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Physiology 624
- Cell Biology 306
- Organic Chemistry 418
- Physiology 56
- Molecular Biology 676
Countries citing papers authored by Saskia Scheij
This map shows the geographic impact of Saskia Scheij'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 Saskia Scheij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia Scheij more than expected).
Fields of papers citing papers by Saskia Scheij
This network shows the impact of papers produced by Saskia Scheij. 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 Saskia Scheij. The network helps show where Saskia Scheij may publish in the future.
Co-authors
The 25 scholars most cited alongside Saskia Scheij, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 216 | |
| 2 | 2012 | 113 | |
| 3 | 2016 | 111 | |
| 4 | 2005 | 71 | |
| 5 | 2014 | 53 | |
| 6 | 2015 | 46 | |
| 7 | 2006 | 45 | |
| 8 | 2016 | 43 | |
| 9 | 2020 | 42 | |
| 10 | 2014 | 40 | |
| 11 | 2017 | 34 | |
| 12 | 2015 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2007 | 32 | |
| 15 | 2010 | 30 | |
| 16 | 2017 | 27 | |
| 17 | 2007 | 24 | |
| 18 | 2017 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2017 | 21 |
About Saskia Scheij
Saskia Scheij is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Surgery and Cell Biology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (16 papers), Lysosomal Storage Disorders Research (14 papers), Cholesterol and Lipid Metabolism (11 papers), Glycosylation and Glycoproteins Research (7 papers), Studies on Chitinases and Chitosanases (6 papers), Cellular transport and secretion (4 papers), Lipid metabolism and biosynthesis (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Physiology (624 citations), Cell Biology (306 citations), Organic Chemistry (418 citations), Physiology (56 citations) and Molecular Biology (676 citations). Saskia Scheij has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Johannes M. F. G. Aerts, Rolf G. Boot, Herman S. Overkleeft, Noam Zelcer, Carla E. M. Hollak, Roelof Ottenhoff, J.E.M. Groener, María Pía Ferraz, Marri Verhoek and Cindy P. A. A. van Roomen. Their work appears in journals such as FEBS Letters, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Journal of Lipid Research and ChemBioChem.
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.