G J van Ommen
- Molecular Biology top 5%
- Genetics top 1%
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Johan T. den DunnenEgbert BakkerP.M. GrootscholtenChristine Van BroeckhovenP. PearsonMartin C. WapenaarH.B. GinjaarLau A.J. Blonden
- Topics
- Muscle Physiology and Disorders (15 papers)Neurogenetic and Muscular Disorders Research (12 papers)RNA modifications and cancer (7 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
G J van Ommen
38 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.8k
- Genetics 632
- Genetics 436
- Cardiology and Cardiovascular Medicine 361
- Cellular and Molecular Neuroscience 352
Countries citing papers authored by G J van Ommen
This map shows the geographic impact of G J van Ommen'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 G J van Ommen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G J van Ommen more than expected).
Fields of papers citing papers by G J van Ommen
This network shows the impact of papers produced by G J van Ommen. 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 G J van Ommen. The network helps show where G J van Ommen may publish in the future.
Co-authorship network of co-authors of G J van Ommen
This figure shows the co-authorship network connecting the top 25 collaborators of G J van Ommen. A scholar is included among the top collaborators of G J van Ommen 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 G J van Ommen. G J van Ommen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | A Unifying Genetic Model for Facioscapulohumeral Muscular Dystrophybreakdown → | 528 |
| 3 | 26 | |
| 4 | 64 | |
| 5 | 2 | |
| 6 | 156 | |
| 7 | 19 | |
| 8 | Apparent gene conversions involving the SMN gene in the region of the spinal muscular atrophy locus on chromosome 5. | 86 |
| 9 | 13 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 56 | |
| 13 | 23 | |
| 14 | Deletions within the pseudoautosomal region help map three new markers and indicate a possible role of this region in linear growth. | 25 |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 48 | |
| 18 | 48 | |
| 19 | 15 | |
| 20 | 32 |
About G J van Ommen
G J van Ommen is a scholar working on Genetics, Genetics and Molecular Biology, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Neurogenetic and Muscular Disorders Research (12 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Genetics (632 citations), Molecular Biology (1.8k citations) and Cellular and Molecular Neuroscience (352 citations). G J van Ommen has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Johan T. den Dunnen, Egbert Bakker, P.M. Grootscholten, Christine Van Broeckhoven, P. Pearson, Martin C. Wapenaar, H.B. Ginjaar, Lau A.J. Blonden, Daphne de Jong and Silvère M. van der Maarel. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.
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.