Saskia Scheij

1.7k citations
35 papers · 1.3k · h-index 22

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 7
    • Studies on Chitinases and Chitosanases 6
    • Peroxisome Proliferator-Activated Receptors 3
    • Carbohydrate Chemistry and Synthesis 16

Saskia Scheij

35 papers receiving 1.3k citations

Peers

Saskia Scheij
Comparison fields: 5 of 85
  • Physiology 624
  • Cell Biology 306
  • Organic Chemistry 418
  • Physiology 56
  • Molecular Biology 676
Replace María Pía Ferraz with:
María Pía Ferraz Netherlands
Shinsei Gasa Japan
Thuy‐Anh Tran‐Thi Germany
John D. Short United States
Barry J. Maurer United States
Akira Makita Japan
Hisatoshi Hanamatsu Japan
Klaus Fuchs Germany
Ritu Sharma United Kingdom
Akira Makita Japan
Saskia Scheij relative to María Pía Ferraz Netherlands María Pía Ferraz's profile →
Citations per field
00.5×1.5×
María Pía Ferraz · 1×
Citations per year

Countries citing papers authored by Saskia Scheij

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Saskia Scheij Line = papers co-authored together Saskia Scheij links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011216
2 2012113
3 2016111
4 200571
5 201453
6 201546
7 200645
8 201643
9 202042
10 201440
11 201734
12 201534
13 201833
14 200732
15 201030
16 201727
17 200724
18 201723
19 201822
20 201721

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.

Explore authors with similar magnitude of impact