Sonja Chocron
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
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- Congenital heart defects research
- Developmental Biology and Gene Regulation
- CRISPR and Genetic Engineering
- TGF-β signaling in diseases
Papers in
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- Congenital heart defects research 10
- Developmental Biology and Gene Regulation 4
- Genetics 4
- Genomics and Rare Diseases 2
- Co-authors
- Jeroen Bakkers (11 shared papers)Matthias Hammerschmidt (2 shared papers)Manon C. Verhoeven (2 shared papers)Fabian Rentzsch (1 shared paper)K. A. Smith (4 shared papers)Holger Rehmann (2 shared papers)Emma de Pater (1 shared paper)Stefan Schulte‐Merker (1 shared paper)
- Journals
- European Journal of Human Genetics (2 papers)Human Mutation (1 paper)Science (1 paper)Nature Communications (1 paper)PLoS Genetics (1 paper)
- Partner nations
- NetherlandsGermanyChina
In The Last Decade
Sonja Chocron
11 papers receiving 528 citations
Peers
Comparison fields: 5 of 66
- Cell Biology 124
- Molecular Biology 437
- Cardiology and Cardiovascular Medicine 92
- Aging 7
- Genetics 84
Countries citing papers authored by Sonja Chocron
This map shows the geographic impact of Sonja Chocron'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 Sonja Chocron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Chocron more than expected).
Fields of papers citing papers by Sonja Chocron
This network shows the impact of papers produced by Sonja Chocron. 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 Sonja Chocron. The network helps show where Sonja Chocron may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Chocron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 130 | |
| 2 | 2008 | 102 | |
| 3 | 2009 | 78 | |
| 4 | 2018 | 59 | |
| 5 | 2011 | 38 | |
| 6 | 2011 | 31 | |
| 7 | 2015 | 24 | |
| 8 | 2023 | 22 | |
| 9 | 2021 | 22 | |
| 10 | 2016 | 16 | |
| 11 | 2021 | 10 |
About Sonja Chocron
Sonja Chocron is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Epidemiology, having authored 11 papers that have together received 532 indexed citations. Recurring topics across this work include Congenital heart defects research (10 papers), Developmental Biology and Gene Regulation (4 papers), Congenital Heart Disease Studies (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Genomics and Rare Diseases (2 papers), Cardiovascular Effects of Exercise (2 papers), Hemispheric Asymmetry in Neuroscience (2 papers) and Cardiac Structural Anomalies and Repair (1 paper). The work is most often cited by research in Cell Biology (124 citations), Molecular Biology (437 citations), Cardiology and Cardiovascular Medicine (92 citations), Aging (7 citations) and Genetics (84 citations). Sonja Chocron has collaborated with scholars based in Netherlands, Germany and China. Frequent co-authors include Jeroen Bakkers, Matthias Hammerschmidt, Manon C. Verhoeven, Fabian Rentzsch, K. A. Smith, Holger Rehmann, Emma de Pater, Stefan Schulte‐Merker, Jeroen Bussmann and Sarah M. Kamel. Their work appears in journals such as European Journal of Human Genetics, Human Mutation, Science, Nature Communications and PLoS Genetics.
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.