Khaled Abdallah

462 citations
18 papers · 337 · h-index 11

Impact in

    • Neuropeptides and Animal Physiology
    • Neurotransmitter Receptor Influence on Behavior
    • Neuroscience and Neuropharmacology Research
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

Khaled Abdallah

18 papers receiving 335 citations

Peers

Khaled Abdallah
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 164
  • Neurology 99
  • Physiology 79
  • Psychiatry and Mental health 42
  • Endocrine and Autonomic Systems 18
Replace Bao Fu with:
Bao Fu China
Jérôme Maheux Canada
Federico Moro Italy
Georgia M. Parkin Australia
Jeremiah K. Britt United States
Niyatee Samudra United States
Coral J. Cintrón-Pérez United States
Melina Ellis Australia
Grishma Pradhan United States
Claire-Marie Rangon France
Khaled Abdallah relative to Bao Fu China Bao Fu's profile →
Citations per field
00.5×2.9×
Bao Fu · 1×
Citations per year

Countries citing papers authored by Khaled Abdallah

Since Specialization
Citations

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

Fields of papers citing papers by Khaled Abdallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201192
2 201348
3 201530
4 202028
5 201725
6 202024
7 202118
8 201715
9 202012
10 202210
11 202110
12 20206
13 20186
14 20215
15 20175
16 20221
17
5G Micro-Cell Deployment in Coexistence with Fixed Services
20161
18 20221

About Khaled Abdallah

Khaled Abdallah is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Infectious Diseases and Physiology, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Pain Mechanisms and Treatments (3 papers), Long-Term Effects of COVID-19 (2 papers), Receptor Mechanisms and Signaling (2 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (164 citations), Neurology (99 citations), Physiology (79 citations), Psychiatry and Mental health (42 citations) and Endocrine and Autonomic Systems (18 citations). Khaled Abdallah has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Louis Gendron, Radhouane Dallel, Philippe Luccarini, Alain Artola, Lénaı̈c Monconduit, Laura Cardoit, Stéphanie Morin, Abdelhamid Benazzouz, Claire Delaville and Philippe De Deurwaerdère. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, Journal of Neurophysiology, Organic Letters and Journal of Neural Transmission.

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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