Marian Peeters

1.0k citations
19 papers · 802 indexed · h-index 13
Topics
Zebrafish Biomedical Research Applications (10 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)Congenital heart defects research (4 papers)

In The Last Decade

Marian Peeters

19 papers receiving 793 citations

Peers

Marian Peeters
Comparison fields: 5 of 76
  • Cell Biology 467
  • Molecular Biology 411
  • Hematology 217
  • Immunology 204
  • Physiology 68
Replace Karine Bollérot with:
Karine Bollérot France
Colin G. Miles United Kingdom
Laleh Talebian United States
Claire Pouget United States
Valérie Lemarchandel France
Amanda D. Yzaguirre United States
Wilson K. Clements United States
Claire C. Cutting United States
Samir Taoudi Australia
Anna Liakhovitskaia United Kingdom
Marian Peeters relative to Karine Bollérot France Karine Bollérot's profile →
Citations per field
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Karine Bollérot · 1×
Citations per year

Countries citing papers authored by Marian Peeters

Since Specialization
Citations

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

Fields of papers citing papers by Marian Peeters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marian Peeters. 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 Marian Peeters. The network helps show where Marian Peeters may publish in the future.

Co-authorship network of co-authors of Marian Peeters

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 347
2 84
3 17
4 1
5 47
6 126
7 4
8
Multipotential hematopoietic progenitor cells from embryos developed in vitro engraft unconditioned W41/W41 neonatal miceB.
4
9 22
10 2
11 19
12 20
13 18
14 2
15 20
16 1
17 12
18 41
19 15

About Marian Peeters

Marian Peeters is a scholar working on Developmental Neuroscience, Cell Biology and Obstetrics and Gynecology, having authored 19 papers that have together received 802 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Cell Biology (467 citations), Hematology (217 citations) and Immunology (204 citations). Marian Peeters has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Elaine Dzierzak, Katrin Ottersbach, Craig J. Ceol, Claire C. Cutting, Trista E. North, Pulin Li, Paul L. Huang, James M. Harris, Allegra M. Lord and Gerhard Weber. Their work appears in journals such as Cell, Blood and PLoS ONE.

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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