Inge M. E. Dijkstra

1.1k citations
23 papers · 704 · h-index 15

Impact in

Papers in

Inge M. E. Dijkstra

22 papers receiving 688 citations

Peers

Inge M. E. Dijkstra
Comparison fields: 5 of 62
  • Clinical Biochemistry 192
  • Biochemistry 100
  • Molecular Biology 594
  • Physiology 197
  • Physiology 27
Replace Ann K. Heinzer with:
Ann K. Heinzer United States
Petra A.W. Mooijer Netherlands
Brunhilde Molzer Austria
Teresa Pàmpols Spain
Ann Snowden United States
Dariush Fahimi Germany
Christoph Wiesinger Austria
Thanh-Phuong Thai Germany
R. B. H. Schutgens Netherlands
Jaspreet Singh United States
Inge M. E. Dijkstra relative to Ann K. Heinzer United States Ann K. Heinzer's profile →
Citations per field
00.5×4.8×
Ann K. Heinzer · 1×
Citations per year

Countries citing papers authored by Inge M. E. Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by Inge M. E. Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inge M. E. Dijkstra, 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 Inge M. E. Dijkstra Line = papers co-authored together Inge M. E. Dijkstra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014161
2 2010130
3 201750
4 202042
5 201638
6 201237
7 201737
8 202129
9 201429
10 201829
11 201222
12 202222
13 201615
14 201614
15 201714
16 202413
17 20219
18
The long-acting GLP-1 analogue, liraglutide, increases beta cell numbers during early human development
20056
19 20243
20 20242

About Inge M. E. Dijkstra

Inge M. E. Dijkstra is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Genetics and Biochemistry, having authored 23 papers that have together received 704 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (19 papers), Metabolism and Genetic Disorders (8 papers), Adipose Tissue and Metabolism (7 papers), RNA regulation and disease (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Lipid metabolism and biosynthesis (2 papers), Immune cells in cancer (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Clinical Biochemistry (192 citations), Biochemistry (100 citations), Molecular Biology (594 citations), Physiology (197 citations) and Physiology (27 citations). Inge M. E. Dijkstra has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Stephan Kemp, Ronald J. A. Wanders, Marc Engelen, Rob Ofman, Bwee Tien Poll‐The, Björn M. van Geel, Carlo W.T. van Roermund, Marjolein Turkenburg, Arno van Cruchten and Mathieu Barbier. Their work appears in journals such as Journal of Inherited Metabolic Disease, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Molecular Genetics and Metabolism and Journal of Neuroinflammation.

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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