Maaike C. de Vries

2.0k citations
41 papers · 1.2k indexed · h-index 19
Topics
Metabolism and Genetic Disorders (34 papers)Mitochondrial Function and Pathology (28 papers)Diet and metabolism studies (13 papers)

In The Last Decade

Maaike C. de Vries

41 papers receiving 1.2k citations

Peers

Maaike C. de Vries
Comparison fields: 5 of 83
  • Molecular Biology 923
  • Clinical Biochemistry 827
  • Physiology 321
  • Genetics 155
  • Pediatrics, Perinatology and Child Health 122
Replace A. A. M. Morris with:
A. A. M. Morris United Kingdom
Rafael Borba Rosa Brazil
Irina Anselm United States
C. Jakobs Netherlands
Raffaele Maletta Italy
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Maneesh Gupta United States
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Maaike C. de Vries relative to A. A. M. Morris United Kingdom A. A. M. Morris's profile →
Citations per field
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A. A. M. Morris · 1×
Citations per year

Countries citing papers authored by Maaike C. de Vries

Since Specialization
Citations

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

Fields of papers citing papers by Maaike C. de Vries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike C. de Vries. 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 Maaike C. de Vries. The network helps show where Maaike C. de Vries may publish in the future.

Co-authorship network of co-authors of Maaike C. de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of Maaike C. de Vries. A scholar is included among the top collaborators of Maaike C. de Vries 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 Maaike C. de Vries. Maaike C. de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 10
4 19
5 40
6 9
7 7
8 68
9 20
10 6
11 55
12 47
13 10
14 7
15 73
16 34
17 32
18 13
19 68
20
[Optimal breastfeeding to prevent hyperbilirubinaemia in healthy, term newborns].
17

About Maaike C. de Vries

Maaike C. de Vries is a scholar working on Clinical Biochemistry, Biochemistry and Physiology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (34 papers), Mitochondrial Function and Pathology (28 papers) and Diet and metabolism studies (13 papers). The work is most often cited by research in Clinical Biochemistry (827 citations), Biological Psychiatry (40 citations) and Molecular Biology (923 citations). Maaike C. de Vries has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Richard J. Rodenburg, Jan Smeıtınk, Éva Morava, Mirian C. H. Janssen, Lambertus P. van den Heuvel, Marije Hogeveen, Frans A. Hol, Annet M. Bosch, M. Estela Rubio‐Gozalbo and Francjan J. van Spronsen. Their work appears in journals such as Brain, Neurology and Pediatric Research.

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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