M. E. van der Stelt

490 citations
9 papers · 424 indexed · h-index 8
Topics
Glycosylation and Glycoproteins Research (8 papers)Immune Response and Inflammation (3 papers)Galectins and Cancer Biology (2 papers)

In The Last Decade

M. E. van der Stelt

9 papers receiving 418 citations

Peers

M. E. van der Stelt
Comparison fields: 5 of 70
  • Molecular Biology 328
  • Immunology 169
  • Radiology, Nuclear Medicine and Imaging 103
  • Organic Chemistry 59
  • Epidemiology 47
Replace Toshiko Takahashi with:
Toshiko Takahashi Japan
C-T. Yuen United Kingdom
Britni M. Arlian United States
J K Welply United States
E F Hounsell United Kingdom
L Trägårdh Sweden
Ana M. Dias Portugal
Hélio J. Crespo Portugal
A. H. Straus Brazil
Weijie Dong China
M. E. van der Stelt relative to Toshiko Takahashi Japan Toshiko Takahashi's profile →
Citations per field
00.5×2.7×
Toshiko Takahashi · 1×
Citations per year

Countries citing papers authored by M. E. van der Stelt

Since Specialization
Citations

This map shows the geographic impact of M. E. van der Stelt'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 M. E. van der Stelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. E. van der Stelt more than expected).

Fields of papers citing papers by M. E. van der Stelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. van der Stelt. 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 M. E. van der Stelt. The network helps show where M. E. van der Stelt may publish in the future.

Co-authorship network of co-authors of M. E. van der Stelt

This figure shows the co-authorship network connecting the top 25 collaborators of M. E. van der Stelt. A scholar is included among the top collaborators of M. E. van der Stelt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. E. van der Stelt. M. E. van der Stelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Effects of low dose methotrexate therapy on the concentration and the glycosylation of alpha 1-acid glycoprotein in the serum of patients with rheumatoid arthritis: a longitudinal study.
25
2 187
3 1
4 8
5
Effect of transgenic expression of human alpha 1-acid glycoprotein (AGP) on the glycosylation of human and mouse AGP in various transgenic mouse sera.
9
6 48
7 69
8 67
9 10

About M. E. van der Stelt

M. E. van der Stelt is a scholar working on Immunology, Biotechnology and Molecular Biology, having authored 9 papers that have together received 424 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Immune Response and Inflammation (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (169 citations), Immunology and Allergy (41 citations) and Molecular Biology (328 citations). M. E. van der Stelt has collaborated with scholars based in Netherlands, Italy and Switzerland. Frequent co-authors include W. van Dijk, Odette Pos, V. Koshte, Rob C. Aalberse, Willem van Dijk, R.J. Scheper, Robert A.J. Oostendorp, Luciana Dente, Chin B. Eap and Pierre Baumann. Their work appears in journals such as The Journal of Experimental Medicine, Biochemical Journal and Clinica Chimica Acta.

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.

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