Amina Chaouch

21 papers receiving 478 citations

Peers

Amina Chaouch
Comparison fields: 5 of 53
  • Neurology 262
  • Cell Biology 111
  • Cellular and Molecular Neuroscience 73
  • Genetics 35
  • Neurology 25
Replace Karima Ghorab with:
Karima Ghorab France
Jean Christophe Antoine France
Matthew Wicklund United States
Hongyang Jing China
Jana Zschüntzsch Germany
Léna Guillot‐Noël France
Roula Ghaoui Australia
Luigi Citrigno Italy
J. Blake United Kingdom
Talya Dor Israel
Amina Chaouch relative to Karima Ghorab France Karima Ghorab's profile →
Citations per field
00.5×1.5×2×2.4×
Karima Ghorab · 1×
Citations per year

Countries citing papers authored by Amina Chaouch

Since Specialization
Citations

This map shows the geographic impact of Amina Chaouch'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 Chaouch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Chaouch more than expected).

Fields of papers citing papers by Amina Chaouch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amina Chaouch. 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 Chaouch. The network helps show where Amina Chaouch may publish in the future.

Co-authors

The 25 scholars most cited alongside Amina Chaouch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amina Chaouch Line = papers co-authored together Amina Chaouch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 200273
3 201472
4 201156
5 201340
6 201237
7 202022
8 201122
9 200821
10 201318
11 202010
12 20128
13 20246
14 20243
15 20252
16 20252
17 20242
18 20221
19 20241
20 20251

About Amina Chaouch

Amina Chaouch is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Cell Biology, having authored 25 papers that have together received 492 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (11 papers), Myasthenia Gravis and Thymoma (6 papers), Neurogenetic and Muscular Disorders Research (4 papers), Genetic Neurodegenerative Diseases (3 papers), Cellular transport and secretion (3 papers), Hereditary Neurological Disorders (3 papers), Thyroid and Parathyroid Surgery (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Neurology (262 citations), Cell Biology (111 citations), Cellular and Molecular Neuroscience (73 citations), Genetics (35 citations) and Neurology (25 citations). Amina Chaouch has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Hanns Lochmüller, Juliane S. Müller, Ulrike Schara, Angela Abicht, Marina Dusl, Velina Guergueltcheva, David Beeson, Daniel Hantaı̈, M. Chaouch and Lineu César Werneck. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Neuromuscular Disorders, Annals of Human Genetics, Journal of Medical Internet Research and Journal of the Neurological Sciences.

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.

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