M.C.M. van Dijk

781 citations
16 papers · 688 indexed · h-index 11

Impact in

Papers in

M.C.M. van Dijk

16 papers receiving 662 citations

Peers

M.C.M. van Dijk
Comparison fields: 5 of 75
  • Molecular Biology 440
  • Biochemistry 37
  • Endocrinology, Diabetes and Metabolism 79
  • Cancer Research 70
  • Cell Biology 75
Replace Georg Tschank with:
Georg Tschank Germany
J H Baldwin United States
M E Cornet Spain
Eun Wie Cho South Korea
M L Brown United States
Véronique Sbarra France
S Ganguly United States
Blandine Kedjouar France
J. E. De Vries Netherlands
Shinsuke Kanamura Japan
M.C.M. van Dijk relative to Georg Tschank Germany Georg Tschank's profile →
Citations per field
00.5×1.5×2.3×
Georg Tschank · 1×
Citations per year

Countries citing papers authored by M.C.M. van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by M.C.M. van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside M.C.M. van Dijk, 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 M.C.M. van Dijk Line = papers co-authored together M.C.M. van Dijk links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Particuliere handhaving; de burger en zijn advocaat als premiejagers: voor de kartelautoriteiten
20061
2 2000118
3 200067
4 19988
5 199759
6 199768
7 199760
8 19962
9 1995121
10 199318
11 199234
12 199211
13 199210
14 199187
15 19904
16 198920

About M.C.M. van Dijk

M.C.M. van Dijk is a scholar working on Pediatrics, Perinatology and Child Health, Cancer Research, Hepatology, Pharmacology and Pharmacology, having authored 16 papers that have together received 688 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Pancreatic function and diabetes (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Neonatal Health and Biochemistry (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (440 citations), Biochemistry (37 citations), Endocrinology, Diabetes and Metabolism (79 citations), Cancer Research (70 citations) and Cell Biology (75 citations). M.C.M. van Dijk has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Wim J. van Blitterswijk, Theo J.C. van Berkel, Paula Ruurs, Henk Hilkmann, Gijsbertus Ziere, John de Widt, J. Kar Kruijt, Francisco J.G. Muriana, Patrick C.N. Rensen and Martin K. Bijsterbosch. Their work appears in journals such as Biochemical Journal, European Journal of Biochemistry, Gene, Nature Medicine and Journal of Biological Chemistry.

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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