Chris A.G. van Eekelen

460 citations
10 papers · 398 indexed · h-index 9
Topics
Virus-based gene therapy research (4 papers)RNA Research and Splicing (4 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)
Partner nations
Netherlands

In The Last Decade

Chris A.G. van Eekelen

10 papers receiving 352 citations

Peers

Chris A.G. van Eekelen
Comparison fields: 5 of 69
  • Molecular Biology 331
  • Cell Biology 68
  • Genetics 65
  • Radiology, Nuclear Medicine and Imaging 26
  • Cardiology and Cardiovascular Medicine 22
Replace Z. Toister with:
Z. Toister Israel
A. Miller‐Faurès Belgium
Paul J. Leibowitz United States
Sarah Munchel United States
Sandra H. Mayrand United States
Kazumi Sawazaki Japan
Gregory K. Potts United States
Lisa L. Freeman-Cook United States
Masamoto Imaizumi Japan
Toru Nakao Japan
Chris A.G. van Eekelen relative to Z. Toister Israel Z. Toister's profile →
Citations per field
00.5×2.6×
Z. Toister · 1×
Citations per year

Countries citing papers authored by Chris A.G. van Eekelen

Since Specialization
Citations

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

Fields of papers citing papers by Chris A.G. van Eekelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris A.G. van Eekelen. 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 Chris A.G. van Eekelen. The network helps show where Chris A.G. van Eekelen may publish in the future.

Co-authorship network of co-authors of Chris A.G. van Eekelen

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 40
2 14
3 14
4 106
5 115
6 30
7 10
8 8
9 6
10 55

About Chris A.G. van Eekelen

Chris A.G. van Eekelen is a scholar working on Immunology and Allergy, Genetics and Surfaces, Coatings and Films, having authored 10 papers that have together received 398 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA Research and Splicing (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Molecular Biology (331 citations), Cell Biology (68 citations) and Genetics (65 citations). Chris A.G. van Eekelen has collaborated with scholars based in Netherlands. Frequent co-authors include Walther J. van Venrooij, Peter Sillekens, Edwin C.M. Mariman, Anton Berns, P. Hans, Rob Jansen, W J van Venrooij, Martin Salden, W J Habets and L. B. A. van de Putte. Their work appears in journals such as Nature, Journal of Molecular Biology and FEBS Letters.

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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