Jonathan C. Grima
Impact in
Papers in
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- Parkinson's Disease Mechanisms and Treatments 6
- Amyotrophic Lateral Sclerosis Research 4
- Neurological diseases and metabolism 2
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- Mitochondrial Function and Pathology 3
- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- Phillip M. Rappold (3 shared papers)Kim Tieu (3 shared papers)Mei Cui (2 shared papers)Ke Zhang (3 shared papers)Thomas E. Lloyd (3 shared papers)Adrianne S. Chesser (2 shared papers)Jeffrey D. Rothstein (2 shared papers)Kai Ruan (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)Nucleus (1 paper)eLife (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Jonathan C. Grima
10 papers receiving 896 citations
Jonathan C. Grima's Hit Papers
Peers
Comparison fields: 5 of 75
- Neurology 406
- Neurology 108
- Genetics 123
- Cellular and Molecular Neuroscience 186
- Aging 16
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 | Stress Granule Assembly Disrupts Nucleocytoplasmic Transport Hit paper breakdown → | 2018 | 279 |
| 2 | 2014 | 178 | |
| 3 | 2011 | 150 | |
| 4 | 2011 | 79 | |
| 5 | 2018 | 64 | |
| 6 | 2020 | 58 | |
| 7 | 2015 | 35 | |
| 8 | 2017 | 25 | |
| 9 | 2016 | 23 | |
| 10 | 2014 | 12 |
About Jonathan C. Grima
Jonathan C. Grima is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Neurology, having authored 10 papers that have together received 903 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Neurological diseases and metabolism (2 papers), Metabolism and Genetic Disorders (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Neurology (406 citations), Neurology (108 citations), Genetics (123 citations), Cellular and Molecular Neuroscience (186 citations) and Aging (16 citations). Jonathan C. Grima has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Phillip M. Rappold, Kim Tieu, Mei Cui, Ke Zhang, Thomas E. Lloyd, Adrianne S. Chesser, Jeffrey D. Rothstein, Kai Ruan, Kathleen M. Cunningham and Xiaoxi Zhuang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Nucleus, 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.