E. Hammouda
Impact in
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- Muscle Physiology and Disorders
- Genomics and Chromatin Dynamics
- RNA regulation and disease
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
Papers in
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- Nuclear Structure and Function 2
- RNA Research and Splicing 1
- Muscle Physiology and Disorders 1
- Genetics 1
- Co-authors
- Marina Raffaele di Barletta (1 shared paper)Michel Fardeau (1 shared paper)Daniela Toniolo (1 shared paper)Ketty Schwartz (1 shared paper)J.A. Urtizberea (1 shared paper)Gisèle Bonne (1 shared paper)Cheryl R. Greenberg (1 shared paper)Henri-Marc Bécane (1 shared paper)
In The Last Decade
E. Hammouda
4 papers receiving 1.1k citations
E. Hammouda's Hit Papers
Peers
Comparison fields: 5 of 49
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 260
- Genetics 99
- Cell Biology 148
- Developmental Biology 17
Countries citing papers authored by E. Hammouda
This map shows the geographic impact of E. Hammouda'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 E. Hammouda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Hammouda more than expected).
Fields of papers citing papers by E. Hammouda
This network shows the impact of papers produced by E. Hammouda. 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 E. Hammouda. The network helps show where E. Hammouda may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Hammouda, 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 | Mutations in the gene encoding lamin A/C cause autosomal dominant Emery-Dreifuss muscular dystrophy Hit paper breakdown → | 1999 | 1032 |
| 2 | 2008 | 72 | |
| 3 | 2009 | 28 | |
| 4 | [Oculopharyngeal muscular dystrophy: study of patients from seven Spanish families with different GCG expansions in PABP2 gene]. | 2004 | 7 |
About E. Hammouda
E. Hammouda is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 4 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear Structure and Function (2 papers), Neurological diseases and metabolism (1 paper), RNA Research and Splicing (1 paper), Cardiomyopathy and Myosin Studies (1 paper), Cardiovascular and exercise physiology (1 paper), Sports Performance and Training (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cardiology and Cardiovascular Medicine (260 citations), Genetics (99 citations), Cell Biology (148 citations) and Developmental Biology (17 citations). E. Hammouda has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Marina Raffaele di Barletta, Michel Fardeau, Daniela Toniolo, Ketty Schwartz, J.A. Urtizberea, Gisèle Bonne, Cheryl R. Greenberg, Henri-Marc Bécane, Luciano Merlini and Shaïda Varnous. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Nature Genetics, Neuromuscular Disorders and PubMed.
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.