Amina Nasri
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neurological disorders and treatments
- Long-Term Effects of COVID-19
- Neurological diseases and metabolism
Papers in
- Neurology 36
- Parkinson's Disease Mechanisms and Treatments 18
- Neurological disorders and treatments 10
- Neurological diseases and metabolism 7
- Amyotrophic Lateral Sclerosis Research 6
- Physiology 15
- Alzheimer's disease research and treatments 10
- Co-authors
- Riadh Gouider (41 shared papers)Imen Kacem (41 shared papers)Amina Gargouri (35 shared papers)Mouna Ben Djebara (32 shared papers)Saloua Mrabet (31 shared papers)Ikram Sghaier (14 shared papers)Youssef Sidhom (8 shared papers)Chokri Mhiri (2 shared papers)
In The Last Decade
Amina Nasri
50 papers receiving 201 citations
Peers
Comparison fields: 5 of 67
- Neurology 133
- Neurology 34
- Sensory Systems 10
- Genetics 19
- Cellular and Molecular Neuroscience 26
Countries citing papers authored by Amina Nasri
This map shows the geographic impact of Amina Nasri'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 Amina Nasri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Nasri more than expected).
Fields of papers citing papers by Amina Nasri
This network shows the impact of papers produced by Amina Nasri. 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 Amina Nasri. The network helps show where Amina Nasri may publish in the future.
Co-authors
The 25 scholars most cited alongside Amina Nasri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 25 | |
| 2 | 2019 | 17 | |
| 3 | 2018 | 14 | |
| 4 | 2016 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Amina Nasri
Amina Nasri is a scholar working on Neurology, Physiology, Neurology, Pathology and Forensic Medicine and Molecular Biology, having authored 59 papers that have together received 208 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (18 papers), Alzheimer's disease research and treatments (10 papers), Neurological disorders and treatments (10 papers), Multiple Sclerosis Research Studies (8 papers), Neurological diseases and metabolism (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Glycogen Storage Diseases and Myoclonus (5 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). The work is most often cited by research in Neurology (133 citations), Neurology (34 citations), Sensory Systems (10 citations), Genetics (19 citations) and Cellular and Molecular Neuroscience (26 citations). Amina Nasri has collaborated with scholars based in Tunisia, Iran and France. Frequent co-authors include Riadh Gouider, Imen Kacem, Amina Gargouri, Mouna Ben Djebara, Saloua Mrabet, Ikram Sghaier, Youssef Sidhom, Chokri Mhiri, Senda Ajroud‐Driss and A. Souissi. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Journal of the Neurological Sciences, Neurological Sciences, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and Neurophysiologie Clinique.
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.