J.C.T. van Deutekom

4.1k citations
43 papers · 3.3k indexed · 1 hit paper · h-index 27
Topics
Muscle Physiology and Disorders (36 papers)Virus-based gene therapy research (12 papers)RNA Research and Splicing (12 papers)

In The Last Decade

J.C.T. van Deutekom

42 papers receiving 3.2k citations

Hit Papers

Entries in the Leiden Duchenne muscular dystrophy mutatio...20062026201220192006100200300400500

Peers

J.C.T. van Deutekom
Comparison fields: 5 of 88
  • Molecular Biology 2.9k
  • Genetics 764
  • Genetics 746
  • Cellular and Molecular Neuroscience 478
  • Cardiology and Cardiovascular Medicine 448
Replace Stephen Abbs with:
Stephen Abbs United Kingdom
Ieke B. Ginjaar Netherlands
Aurélie Goyenvalle France
Allyson C. Potter United Kingdom
Jill A. Rafael United States
Corlee J. Bertelson United States
Yuko Miyagoe‐Suzuki Japan
F.M.S. Tomé France
Claude A. Dechesne France
Lucy Feng United Kingdom
J.C.T. van Deutekom relative to Stephen Abbs United Kingdom Stephen Abbs's profile →
Citations per field
00.5×1.5×
Stephen Abbs · 1×
Citations per year

Countries citing papers authored by J.C.T. van Deutekom

Since Specialization
Citations

This map shows the geographic impact of J.C.T. van Deutekom'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 J.C.T. van Deutekom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.C.T. van Deutekom more than expected).

Fields of papers citing papers by J.C.T. van Deutekom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C.T. van Deutekom. 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 J.C.T. van Deutekom. The network helps show where J.C.T. van Deutekom may publish in the future.

Co-authorship network of co-authors of J.C.T. van Deutekom

This figure shows the co-authorship network connecting the top 25 collaborators of J.C.T. van Deutekom. A scholar is included among the top collaborators of J.C.T. van Deutekom 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 J.C.T. van Deutekom. J.C.T. van Deutekom 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 37
2 20
3 51
4 25
5 25
6 33
7 26
8 64
9
Entries in the Leiden Duchenne muscular dystrophy mutation database: An overview of mutation types and paradoxical cases that confirm the reading‐frame rulebreakdown →
531
10 65
11 11
12 91
13 152
14 95
15 171
16 27
17 24
18 34
19 50
20 38

About J.C.T. van Deutekom

J.C.T. van Deutekom is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 3.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (36 papers), Virus-based gene therapy research (12 papers) and RNA Research and Splicing (12 papers). The work is most often cited by research in Genetics (746 citations), Molecular Biology (2.9k citations) and Genetics (764 citations). J.C.T. van Deutekom has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Gert‐Jan B. van Ommen, Annemieke Aartsma‐Rus, Johan T. den Dunnen, Ivo F.A.C. Fokkema, Anneke A. M. Janson, Johnny Huard, Ryan Pruchnic, Levent Balkir, Zhuqing Qu and Paul D. Robbins. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Blood.

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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