Djamel Grid

2.4k citations
32 papers · 1.9k · h-index 20

Impact in

Papers in

Djamel Grid

32 papers receiving 1.8k citations

Peers

Djamel Grid
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 1.1k
  • Neurology 465
  • Neurology 327
  • Genetics 228
  • Cell Biology 326
Replace Ann Löfgren with:
Ann Löfgren Belgium
Radim Mazanec Czechia
José Leal Loureiro Portugal
Nazha Birouk France
Hamid Azzedine France
Marie Coutelier France
Masayoshi Tada Japan
P. F. Chance United States
Stefan-M. Pulst United States
Collette K. Hand Canada
Djamel Grid relative to Ann Löfgren Belgium Ann Löfgren's profile →
Citations per field
00.5×2×2.6×
Ann Löfgren · 1×
Citations per year

Countries citing papers authored by Djamel Grid

Since Specialization
Citations

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

Fields of papers citing papers by Djamel Grid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Djamel Grid, 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 Djamel Grid Line = papers co-authored together Djamel Grid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002457
2 2007278
3 2007129
4 1999117
5 200992
6 200687
7 200278
8 199975
9 199973
10 199766
11 199859
12 200952
13 200945
14 200836
15 200534
16 200033
17 200131
18 200223
19 200822
20 201122

About Djamel Grid

Djamel Grid is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cell Biology, Rheumatology and Neurology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (23 papers), Neurological diseases and metabolism (9 papers), RNA regulation and disease (5 papers), Nuclear Structure and Function (5 papers), Cellular Mechanics and Interactions (5 papers), RNA Research and Splicing (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Neurology (465 citations), Neurology (327 citations), Genetics (228 citations) and Cell Biology (326 citations). Djamel Grid has collaborated with scholars based in France, Algeria and Switzerland. Frequent co-authors include Mériem Tazir, Nicolas Lévy, T. Hammadouche, Malika Chaouch, Annachiara De Sandre‐Giovannoli, Jean-Michel Vallat, Serguei V. Kozlov, Pierre Szepetowski, Colin L. Stewart and Antoon Vandenberghe. Their work appears in journals such as Neuromuscular Disorders, Neurology, The American Journal of Human Genetics, Annals of Neurology 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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