Maaike P.G. Vreeswijk

6.1k citations
50 papers · 1.7k indexed · h-index 22
Topics
DNA Repair Mechanisms (25 papers)BRCA gene mutations in cancer (25 papers)CRISPR and Genetic Engineering (17 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Maaike P.G. Vreeswijk

50 papers receiving 1.7k citations

Peers

Maaike P.G. Vreeswijk
Comparison fields: 5 of 89
  • Molecular Biology 992
  • Genetics 649
  • Oncology 518
  • Cancer Research 363
  • Reproductive Medicine 189
Replace Elisabeth Mueller‐Holzner with:
Elisabeth Mueller‐Holzner Austria
Irene A. Rigault de la Longrais Italy
Zdeněk Kleibl Czechia
Barbara Wappenschmidt Germany
Sarah Maines‐Bandiera Canada
Chang‐Il Hwang United States
Diana Iliev United States
Miguel de la Hoya Spain
Ivraym B. Barsoum Canada
Gaynor J. Bates United Kingdom
Maaike P.G. Vreeswijk relative to Elisabeth Mueller‐Holzner Austria Elisabeth Mueller‐Holzner's profile →
Citations per field
00.5×6.1×
Elisabeth Mueller‐Holzner · 1×
Citations per year

Countries citing papers authored by Maaike P.G. Vreeswijk

Since Specialization
Citations

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

Fields of papers citing papers by Maaike P.G. Vreeswijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike P.G. Vreeswijk. 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 P.G. Vreeswijk. The network helps show where Maaike P.G. Vreeswijk may publish in the future.

Co-authorship network of co-authors of Maaike P.G. Vreeswijk

This figure shows the co-authorship network connecting the top 25 collaborators of Maaike P.G. Vreeswijk. A scholar is included among the top collaborators of Maaike P.G. Vreeswijk 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 P.G. Vreeswijk. Maaike P.G. Vreeswijk 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 5
2 3
3 2
4 21
5 33
6 20
7 32
8 34
9 40
10 119
11 3
12 41
13 173
14 124
15 82
16 82
17 11
18 4
19 68
20 19

About Maaike P.G. Vreeswijk

Maaike P.G. Vreeswijk is a scholar working on Genetics, Cancer Research and Reproductive Medicine, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (25 papers), BRCA gene mutations in cancer (25 papers) and CRISPR and Genetic Engineering (17 papers). The work is most often cited by research in Cancer Research (363 citations), Genetics (649 citations) and Reproductive Medicine (189 citations). Maaike P.G. Vreeswijk has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Harry Vrieling, Peter Devilee, Christi J. van Asperen, Jan H.J. Hoeijmakers, A.A. van Zeeland, Dik C. van Gent, Carolien H. M. van Deurzen, Roland Kanaar, Marthe M. de Jonge and Kishan A.T. Naipal. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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