Rumaisa Bashir
Impact in
-
- Genetic Neurodegenerative Diseases
- Molecular Biology top 5%
- Muscle Physiology and Disorders
- RNA Research and Splicing
- Ion channel regulation and function
- Nuclear Structure and Function
Papers in ⓘ
- Aging 2
-
- Genetic Neurodegenerative Diseases 6
- Co-authors
- I. Mahjneh (6 shared papers)Sharon Keers (6 shared papers)Isabelle Richard (5 shared papers)Elizabeth Vafiadaki (4 shared papers)Tom Strachan (4 shared papers)J. Beckmann (3 shared papers)Zohar Argov (3 shared papers)Kate Bushby (3 shared papers)
- Journals
- Genomics (4 papers)Neuromuscular Disorders (3 papers)Nature Genetics (2 papers)Human Molecular Genetics (2 papers)Hepatology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Rumaisa Bashir
20 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 405
- Molecular Biology 1.5k
- Cell Biology 286
- Cardiology and Cardiovascular Medicine 343
- Genetics 152
Countries citing papers authored by Rumaisa Bashir
This map shows the geographic impact of Rumaisa Bashir'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 Rumaisa Bashir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rumaisa Bashir more than expected).
Fields of papers citing papers by Rumaisa Bashir
This network shows the impact of papers produced by Rumaisa Bashir. 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 Rumaisa Bashir. The network helps show where Rumaisa Bashir may publish in the future.
Co-authors
The 25 scholars most cited alongside Rumaisa Bashir, 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 | A gene related to Caenorhabditis elegans spermatogenesis factor fer-1 is mutated in limb-girdle muscular dystrophy type 2B Hit paper breakdown → | 1998 | 526 |
| 2 | 2010 | 195 | |
| 3 | 1991 | 131 | |
| 4 | 2000 | 113 | |
| 5 | 1992 | 101 | |
| 6 | 2000 | 77 | |
| 7 | 1993 | 69 | |
| 8 | 2000 | 59 | |
| 9 | 1993 | 54 | |
| 10 | 2012 | 53 | |
| 11 | 2010 | 50 | |
| 12 | 2001 | 49 | |
| 13 | 2006 | 45 | |
| 14 | 1996 | 44 | |
| 15 | 2008 | 39 | |
| 16 | 2008 | 33 | |
| 17 | 2007 | 31 | |
| 18 | 2012 | 24 | |
| 19 | 1996 | 11 | |
| 20 | 1994 | 8 |
About Rumaisa Bashir
Rumaisa Bashir is a scholar working on Aging, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Physiology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Genetic Neurodegenerative Diseases (6 papers), Nuclear Structure and Function (4 papers), RNA Research and Splicing (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Ion channel regulation and function (2 papers), Genetic and rare skin diseases. (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (405 citations), Molecular Biology (1.5k citations), Cell Biology (286 citations), Cardiology and Cardiovascular Medicine (343 citations) and Genetics (152 citations). Rumaisa Bashir has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include I. Mahjneh, Sharon Keers, Isabelle Richard, Elizabeth Vafiadaki, Tom Strachan, J. Beckmann, Zohar Argov, Kate Bushby, S. Britton and Mayana Zatz. Their work appears in journals such as Genomics, Neuromuscular Disorders, Nature Genetics, Human Molecular Genetics and Hepatology.
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.