Anne E. Deconinck
Impact in
- Rehabilitation top 1%
- Exercise and Physiological Responses
- Molecular Biology top 5%
- Muscle Physiology and Disorders
- Congenital heart defects research
- RNA modifications and cancer
Papers in
-
- Muscle Physiology and Disorders 5
- Congenital heart defects research 4
- Epigenetics and DNA Methylation 3
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Kay E. Davies (5 shared papers)Jonathon M. Tinsley (4 shared papers)Allyson C. Potter (3 shared papers)Jill A. Rafael (3 shared papers)Laurent Metzinger (2 shared papers)Sergei G. Tevosian (3 shared papers)Stuart H. Orkin (3 shared papers)Yuko Fujiwara (2 shared papers)
- Journals
- Cell (2 papers)Development (2 papers)Neuromuscular Disorders (1 paper)Current Biology (1 paper)Biology of the Cell (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Anne E. Deconinck
12 papers receiving 1.8k citations
Anne E. Deconinck's Hit Papers
Peers
Comparison fields: 5 of 73
- Rehabilitation 239
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 286
- Physiology 320
- Aging 22
Countries citing papers authored by Anne E. Deconinck
This map shows the geographic impact of Anne E. Deconinck'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 Anne E. Deconinck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne E. Deconinck more than expected).
Fields of papers citing papers by Anne E. Deconinck
This network shows the impact of papers produced by Anne E. Deconinck. 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 Anne E. Deconinck. The network helps show where Anne E. Deconinck may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne E. Deconinck, 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 | Utrophin-Dystrophin-Deficient Mice as a Model for Duchenne Muscular Dystrophy Hit paper breakdown → | 1997 | 607 |
| 2 | 2000 | 313 | |
| 3 | 1997 | 192 | |
| 4 | 1998 | 181 | |
| 5 | 1999 | 168 | |
| 6 | 1996 | 86 | |
| 7 | 2000 | 85 | |
| 8 | 1998 | 73 | |
| 9 | 2001 | 71 | |
| 10 | 2001 | 34 | |
| 11 | 2007 | 14 | |
| 12 | 2005 | 13 |
About Anne E. Deconinck
Anne E. Deconinck is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Rehabilitation, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Congenital heart defects research (4 papers), Epigenetics and DNA Methylation (3 papers), Silk-based biomaterials and applications (2 papers), Nerve injury and regeneration (2 papers), Zebrafish Biomedical Research Applications (2 papers), Exercise and Physiological Responses (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Rehabilitation (239 citations), Molecular Biology (1.6k citations), Cellular and Molecular Neuroscience (286 citations), Physiology (320 citations) and Aging (22 citations). Anne E. Deconinck has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Kay E. Davies, Jonathon M. Tinsley, Allyson C. Potter, Jill A. Rafael, Laurent Metzinger, Sergei G. Tevosian, Stuart H. Orkin, Yuko Fujiwara, Judith A. Skinner and Diana J. Watt. Their work appears in journals such as Cell, Development, Neuromuscular Disorders, Current Biology and Biology of the Cell.
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.