Jonathan C. Grima
Impact in
Papers in
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 6
- Amyotrophic Lateral Sclerosis Research 5
- Neurological diseases and metabolism 2
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- Genetic Neurodegenerative Diseases 4
- Co-authors
- Kim Tieu (3 shared papers)Phillip M. Rappold (3 shared papers)Mei Cui (2 shared papers)Adrianne S. Chesser (2 shared papers)Kathleen M. Cunningham (2 shared papers)Thomas E. Lloyd (2 shared papers)Ke Zhang (2 shared papers)Kai Ruan (2 shared papers)
- Journals
- Neuron (3 papers)Proceedings of the National Academy of Sciences (3 papers)eNeuro (1 paper)eLife (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jonathan C. Grima
14 papers receiving 2.7k citations
Jonathan C. Grima's Hit Papers
Peers
Comparison fields: 5 of 85
- Neurology 1.3k
- Genetics 632
- Cellular and Molecular Neuroscience 594
- Neurology 241
- Molecular Biology 1.6k
Countries citing papers authored by Jonathan C. Grima
This map shows the geographic impact of Jonathan C. Grima'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 Jonathan C. Grima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Grima more than expected).
Fields of papers citing papers by Jonathan C. Grima
This network shows the impact of papers produced by Jonathan C. Grima. 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 Jonathan C. Grima. The network helps show where Jonathan C. Grima may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan C. Grima, 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 | The C9orf72 repeat expansion disrupts nucleocytoplasmic transport Hit paper breakdown → | 2015 | 795 |
| 2 | 2018 | 335 | |
| 3 | 2018 | 302 | |
| 4 | 2017 | 275 | |
| 5 | 2016 | 266 | |
| 6 | 2014 | 196 | |
| 7 | 2011 | 166 | |
| 8 | 2011 | 84 | |
| 9 | 2018 | 72 | |
| 10 | 2020 | 63 | |
| 11 | 2019 | 39 | |
| 12 | 2015 | 36 | |
| 13 | 2017 | 30 | |
| 14 | 2014 | 13 |
About Jonathan C. Grima
Jonathan C. Grima is a scholar working on Neurology, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Neurology, having authored 14 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Alzheimer's disease research and treatments (3 papers), Neurological diseases and metabolism (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Neurology (1.3k citations), Genetics (632 citations), Cellular and Molecular Neuroscience (594 citations), Neurology (241 citations) and Molecular Biology (1.6k citations). Jonathan C. Grima has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Kim Tieu, Phillip M. Rappold, Mei Cui, Adrianne S. Chesser, Kathleen M. Cunningham, Thomas E. Lloyd, Ke Zhang, Kai Ruan, Jeffrey D. Rothstein and Xiaoxi Zhuang. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, eNeuro, eLife and 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.