M Super
- Molecular Biology
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Martin SchwarzGeraldine MaloneG. H. WatsonD. Gareth EvansM. Dawn TeareStephen F. LittleDian DonnaiHugh C. Smith
- Topics
- Cystic Fibrosis Research Advances (17 papers)Prenatal Screening and Diagnostics (6 papers)Tracheal and airway disorders (5 papers)
- Journals
- Annals of the New York Academy of SciencesArchives of Disease in ChildhoodJournal of Medical Genetics
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
M Super
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 526
- Genetics 453
- Pulmonary and Respiratory Medicine 432
- Physiology 303
- Neurology 226
Countries citing papers authored by M Super
This map shows the geographic impact of M Super'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 M Super with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Super more than expected).
Fields of papers citing papers by M Super
This network shows the impact of papers produced by M Super. 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 M Super. The network helps show where M Super may publish in the future.
Co-authorship network of co-authors of M Super
This figure shows the co-authorship network connecting the top 25 collaborators of M Super. A scholar is included among the top collaborators of M Super 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 M Super. M Super is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Angelman syndrome phenotype associated with mutations in MECP2. | 1 |
| 3 | 48 | |
| 4 | 19 | |
| 5 | 6 | |
| 6 | 19 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 27 | |
| 12 | 196 | |
| 13 | 29 | |
| 14 | 10 | |
| 15 | 16 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | Cystic fibrosis in the South West African Afrikaner. An example of population drift, possibly with heterozygote advantage. | 11 |
About M Super
M Super is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Genetics, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (17 papers), Prenatal Screening and Diagnostics (6 papers) and Tracheal and airway disorders (5 papers). The work is most often cited by research in Genetics (453 citations), Neurology (226 citations) and Pulmonary and Respiratory Medicine (432 citations). M Super has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Martin Schwarz, Geraldine Malone, G. H. Watson, D. Gareth Evans, M. Dawn Teare, Stephen F. Little, Dian Donnai, Hugh C. Smith, R G Patel and David Webb. Their work appears in journals such as Annals of the New York Academy of Sciences, Archives of Disease in Childhood and Journal of Medical 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.