Peggy de Kievit

607 citations
6 papers · 476 indexed · h-index 6
Topics
Viral Infections and Immunology Research (2 papers)Muscle Physiology and Disorders (2 papers)Force Microscopy Techniques and Applications (1 paper)

In The Last Decade

Peggy de Kievit

6 papers receiving 470 citations

Peers

Peggy de Kievit
Comparison fields: 5 of 57
  • Molecular Biology 382
  • Biomedical Engineering 108
  • Cardiology and Cardiovascular Medicine 92
  • Genetics 82
  • Cellular and Molecular Neuroscience 65
Replace Claudia Bühr with:
Claudia Bühr Switzerland
Carole Desseaux France
Junquan Xu China
Jackson Winter United States
Matthew M. Moore United States
Bjorn de Wagenaar Netherlands
Hui Gai United States
Balázs Kiss Hungary
Petra van Kuik‐Romeijn Netherlands
Justin Kolb United States
Peggy de Kievit relative to Claudia Bühr Switzerland Claudia Bühr's profile →
Citations per field
00.5×4.5×
Claudia Bühr · 1×
Citations per year

Countries citing papers authored by Peggy de Kievit

Since Specialization
Citations

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

Fields of papers citing papers by Peggy de Kievit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peggy de Kievit. 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 Peggy de Kievit. The network helps show where Peggy de Kievit may publish in the future.

Co-authorship network of co-authors of Peggy de Kievit

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 92
2 60
3 29
4 211
5 74
6 10

About Peggy de Kievit

Peggy de Kievit is a scholar working on Bioengineering, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 476 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (2 papers), Muscle Physiology and Disorders (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Genetics (82 citations), Molecular Biology (382 citations) and Cardiology and Cardiovascular Medicine (92 citations). Peggy de Kievit has collaborated with scholars based in Netherlands, Finland and United States. Frequent co-authors include Silvère M. van der Maarel, Rune R. Frants, Richard J.L.F. Lemmers, George W. Padberg, Lodewijk A. Sandkuijl, Gert‐Jan B. van Ommen, Wendy U. Dittmer, M.W.J. Prins, Joost L. M. Vissers and Michel van Geel. Their work appears in journals such as Nature Genetics, Annals of Neurology and Clinica Chimica Acta.

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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