Djamel Grid

2.3k citations
28 papers · 1.3k · h-index 17

Impact in

Papers in

Djamel Grid

28 papers receiving 1.3k citations

Peers

Djamel Grid
Comparison fields: 5 of 63
  • Cellular and Molecular Neuroscience 710
  • Neurology 309
  • Cell Biology 272
  • Neurology 251
  • Genetics 112
Replace A. Löfgren with:
A. Löfgren Belgium
Beate Schlotter‐Weigel Germany
P. F. Chance United States
Nazha Birouk France
Е. Л. Дадали Russia
Alice B. Schindler United States
Tine Deconinck Belgium
Malika Chaouch Algeria
John Wolff United States
Nacer Abbas France
Djamel Grid relative to A. Löfgren Belgium A. Löfgren's profile →
Citations per field
00.5×1.7×
A. 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002417
2 2007117
3 1999103
4 199971
5 200670
6 200265
7 199956
8 199754
9 199852
10 200941
11 200940
12 200033
13 200130
14 200530
15 200221
16 200821
17 201118
18 200716
19 200715
20 200714

About Djamel Grid

Djamel Grid is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cell Biology and Genetics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (21 papers), Neurological diseases and metabolism (8 papers), Nuclear Structure and Function (5 papers), RNA Research and Splicing (5 papers), Cellular Mechanics and Interactions (5 papers), Genetic Neurodegenerative Diseases (4 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (710 citations), Neurology (309 citations), Cell Biology (272 citations), Neurology (251 citations) and Genetics (112 citations). Djamel Grid has collaborated with scholars based in France, Algeria and Switzerland. Frequent co-authors include Mériem Tazir, Nicolas Lévy, T. Hammadouche, Annachiara De Sandre‐Giovannoli, Jean-Michel Vallat, Malika Chaouch, Serguei Kozlov, Pierre Szepetowski, Colin L. Stewart and Antoon Vandenberghe. Their work appears in journals such as Neuromuscular Disorders, The American Journal of Human Genetics, Neurology, Annals of Neurology and Annals of Human Genetics.

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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