Halima Amhaoul

430 total citations
9 papers, 346 citations indexed

About

Halima Amhaoul is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Halima Amhaoul has authored 9 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Halima Amhaoul's work include Epilepsy research and treatment (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Drug Transport and Resistance Mechanisms (3 papers). Halima Amhaoul is often cited by papers focused on Epilepsy research and treatment (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Drug Transport and Resistance Mechanisms (3 papers). Halima Amhaoul collaborates with scholars based in Belgium, Australia and Netherlands. Halima Amhaoul's co-authors include Stefanie Dedeurwaerdere, Steven Staelens, Daniele Bertoglio, Idrish Ali, Andrew Katsifis, Samir Kumar‐Singh, Annemie Van der Linden, Jeroen Verhaeghe, Filomena Mattner and Paula Berghofer and has published in prestigious journals such as Neuroscience, Epilepsia and Neuropharmacology.

In The Last Decade

Halima Amhaoul

9 papers receiving 343 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Halima Amhaoul Belgium 7 196 191 73 69 65 9 346
Vera Russmann Germany 14 173 0.9× 202 1.1× 127 1.7× 70 1.0× 47 0.7× 17 370
W. Saskia van der Hel Netherlands 11 159 0.8× 250 1.3× 132 1.8× 43 0.6× 58 0.9× 12 442
Neide Ferreira dos Santos Brazil 7 247 1.3× 293 1.5× 117 1.6× 127 1.8× 30 0.5× 10 473
Julia Müller Germany 10 108 0.6× 259 1.4× 182 2.5× 28 0.4× 170 2.6× 13 472
Josephine Heffernan Ireland 9 103 0.5× 176 0.9× 153 2.1× 99 1.4× 35 0.5× 18 410
João Chaves Portugal 14 247 1.3× 136 0.7× 105 1.4× 171 2.5× 30 0.5× 33 485
Evy Grini Iversen Norway 8 46 0.2× 184 1.0× 133 1.8× 55 0.8× 43 0.7× 9 353
Xin Heng China 8 46 0.2× 98 0.5× 134 1.8× 26 0.4× 88 1.4× 11 390
Stephanie Nadine Reichel Germany 4 108 0.6× 130 0.7× 173 2.4× 36 0.5× 51 0.8× 5 326
Sookyong Koh United States 5 83 0.4× 168 0.9× 113 1.5× 76 1.1× 166 2.6× 7 373

Countries citing papers authored by Halima Amhaoul

Since Specialization
Citations

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

Fields of papers citing papers by Halima Amhaoul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Halima Amhaoul

This figure shows the co-authorship network connecting the top 25 collaborators of Halima Amhaoul. A scholar is included among the top collaborators of Halima Amhaoul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Halima Amhaoul. Halima Amhaoul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bertoglio, Daniele, Halima Amhaoul, Idrish Ali, et al.. (2021). TSPO PET upregulation predicts epileptic phenotype at disease onset independently from chronic TSPO expression in a rat model of temporal lobe epilepsy. NeuroImage Clinical. 31. 102701–102701. 14 indexed citations
2.
Bertoglio, Daniele, et al.. (2017). Kainic Acid-Induced Post-Status Epilepticus Models of Temporal Lobe Epilepsy with Diverging Seizure Phenotype and Neuropathology. Frontiers in Neurology. 8. 588–588. 60 indexed citations
3.
Missault, Stephan, Halima Amhaoul, David Thomae, et al.. (2017). Decreased levels of active uPA and KLK8 assessed by [111In]MICA‐401 binding correlate with the seizure burden in an animal model of temporal lobe epilepsy. Epilepsia. 58(9). 1615–1625. 6 indexed citations
5.
Bertoglio, Daniele, Jeroen Verhaeghe, Eva Santermans, et al.. (2016). Non-invasive PET imaging of brain inflammation at disease onset predicts spontaneous recurrent seizures and reflects comorbidities. Brain Behavior and Immunity. 61. 69–79. 33 indexed citations
6.
Amhaoul, Halima, Idrish Ali, Krystyna Szewczyk, et al.. (2016). P2X7 receptor antagonism reduces the severity of spontaneous seizures in a chronic model of temporal lobe epilepsy. Neuropharmacology. 105. 175–185. 54 indexed citations
7.
Amhaoul, Halima, Julie Hamaide, Daniele Bertoglio, et al.. (2015). Brain inflammation in a chronic epilepsy model: Evolving pattern of the translocator protein during epileptogenesis. Neurobiology of Disease. 82. 526–539. 63 indexed citations
8.
Amhaoul, Halima, Steven Staelens, & Stefanie Dedeurwaerdere. (2014). Imaging brain inflammation in epilepsy. Neuroscience. 279. 238–252. 36 indexed citations
9.
Dedeurwaerdere, Stefanie, Paul D. Callaghan, Tien Pham, et al.. (2012). PET imaging of brain inflammation during early epileptogenesis in a rat model of temporal lobe epilepsy. EJNMMI Research. 2(1). 60–60. 74 indexed citations

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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