Fadia Medja

1.9k citations
21 papers · 1.5k · h-index 18

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism

Papers in

Fadia Medja

21 papers receiving 1.5k citations

Peers

Fadia Medja
Comparison fields: 5 of 95
  • Horticulture 65
  • Neurology 375
  • Cellular and Molecular Neuroscience 431
  • Neurology 156
  • Biochemistry 143
Replace Jerry S. McKinney with:
Jerry S. McKinney United States
Iain P. Hargreaves United Kingdom
Magdalena Zielińska Poland
Fulvio Celsi Italy
Dirk A. Ridder Germany
Kai Zhong China
María‐Dolores Miñana Spain
Xiaohui Wang China
Kemal Uğur Tüfekçi Türkiye
Amit U. Joshi United States
Fadia Medja relative to Jerry S. McKinney United States Jerry S. McKinney's profile →
Citations per field
00.5×
Jerry S. McKinney · 1×
Citations per year

Countries citing papers authored by Fadia Medja

Since Specialization
Citations

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

Fields of papers citing papers by Fadia Medja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003213
2 2003172
3 2009171
4 2005169
5 2003133
6 2008107
7 201295
8 200284
9 201057
10 201343
11 200742
12 200541
13 200940
14 201735
15 200530
16 200427
17 201223
18 200622
19 201411
20 20097

About Fadia Medja

Fadia Medja is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Developmental Neuroscience, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (3 papers), Receptor Mechanisms and Signaling (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Traditional and Medicinal Uses of Annonaceae (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Horticulture (65 citations), Neurology (375 citations), Cellular and Molecular Neuroscience (431 citations), Neurology (156 citations) and Biochemistry (143 citations). Fadia Medja has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Anne Lombès, Günter U. Höglinger, Patrick P. Michel, Merle Ruberg, Étienne C. Hirsch, Annie Lannuzel, Pierre Champy, Pierre Gressèns, Bertrand Friguet and Géraldine Carrard. Their work appears in journals such as Journal of Neurochemistry, Neuromuscular Disorders, Neuroscience, The FASEB Journal and Hepatology.

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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