Jonathan Lévy
Impact in
- Geophysics top 10%
- earthquake and tectonic studies
- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- Earthquake Detection and Analysis
-
- Seismology and Earthquake Studies
Papers in
-
- RNA modifications and cancer 2
- Genetics 9
- Genomic variations and chromosomal abnormalities 5
- Genetics and Neurodevelopmental Disorders 3
- Genetic and Kidney Cyst Diseases 2
- Congenital Ear and Nasal Anomalies 2
- Co-authors
- Brian S. Currie (1 shared paper)Robert J. Skoumal (1 shared paper)M. R. Brudzinski (1 shared paper)Zaid Al-Ars (1 shared paper)Jane Sterling (1 shared paper)Margaret Stanley (1 shared paper)Nauman Ahmed (1 shared paper)Peter Goon (1 shared paper)
- Journals
- Clinical Genetics (5 papers)Human Mutation (1 paper)European Journal of Human Genetics (1 paper)EBioMedicine (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- FranceNetherlandsUnited Kingdom
In The Last Decade
Jonathan Lévy
17 papers receiving 348 citations
Peers
Comparison fields: 5 of 75
- Geophysics 95
- Artificial Intelligence 91
- Genetics 75
- Molecular Biology 140
- Epidemiology 64
Countries citing papers authored by Jonathan Lévy
This map shows the geographic impact of Jonathan Lévy'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 Jonathan Lévy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lévy more than expected).
Fields of papers citing papers by Jonathan Lévy
This network shows the impact of papers produced by Jonathan Lévy. 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 Jonathan Lévy. The network helps show where Jonathan Lévy may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Lévy, 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 | 2014 | 99 | |
| 2 | 2011 | 66 | |
| 3 | 2019 | 49 | |
| 4 | 2012 | 35 | |
| 5 | 2018 | 25 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 15 | |
| 8 | 2020 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 0 | |
| 19 | 2025 | 0 |
About Jonathan Lévy
Jonathan Lévy is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Surgery and Genetics, having authored 19 papers that have together received 366 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Metabolism and Genetic Disorders (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Prenatal Screening and Diagnostics (2 papers), RNA modifications and cancer (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Congenital Ear and Nasal Anomalies (2 papers). The work is most often cited by research in Geophysics (95 citations), Artificial Intelligence (91 citations), Genetics (75 citations), Molecular Biology (140 citations) and Epidemiology (64 citations). Jonathan Lévy has collaborated with scholars based in France, Netherlands and United Kingdom. Frequent co-authors include Brian S. Currie, Robert J. Skoumal, M. R. Brudzinski, Zaid Al-Ars, Jane Sterling, Margaret Stanley, Nauman Ahmed, Peter Goon, Alain Verloès and Koen Bertels. Their work appears in journals such as Clinical Genetics, Human Mutation, European Journal of Human Genetics, EBioMedicine and BMC Bioinformatics.
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.