Susanna Molinari
- Co-authors
- Renata BattiniCarol ImbrianoMassimo GanassiSérgio FerrariGiulio CossuMaria Gabriella Cusella De AngelisSara BadodiStefano Ferrari
- Topics
- Muscle Physiology and Disorders (8 papers)RNA Research and Splicing (6 papers)Neurogenetic and Muscular Disorders Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Susanna Molinari
21 papers receiving 626 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 494
- Cellular and Molecular Neuroscience 111
- Genetics 79
- Physiology 68
- Genetics 58
Countries citing papers authored by Susanna Molinari
This map shows the geographic impact of Susanna Molinari'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 Susanna Molinari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Molinari more than expected).
Fields of papers citing papers by Susanna Molinari
This network shows the impact of papers produced by Susanna Molinari. 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 Susanna Molinari. The network helps show where Susanna Molinari may publish in the future.
Co-authorship network of co-authors of Susanna Molinari
This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Molinari. A scholar is included among the top collaborators of Susanna Molinari 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 Susanna Molinari. Susanna Molinari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 22 | |
| 8 | 27 | |
| 9 | 32 | |
| 10 | 48 | |
| 11 | 21 | |
| 12 | 29 | |
| 13 | 29 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 19 | |
| 17 | Absence of MEF2 binding to the A/T-rich element in the muscle creatine kinase (MCK) enhancer correlates with lack of early expression of the MCK gene in embryonic mammalian muscle. | 26 |
| 18 | 135 | |
| 19 | 111 | |
| 20 | 7 |
About Susanna Molinari
Susanna Molinari is a scholar working on Genetics, Molecular Biology and Geriatrics and Gerontology, having authored 23 papers that have together received 631 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), RNA Research and Splicing (6 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Molecular Biology (494 citations), Cellular and Molecular Neuroscience (111 citations) and Developmental Neuroscience (24 citations). Susanna Molinari has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Renata Battini, Carol Imbriano, Massimo Ganassi, Sérgio Ferrari, Giulio Cossu, Maria Gabriella Cusella De Angelis, Sara Badodi, Stefano Ferrari, Giorgia Razzini and M. Coletta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.