Jamila Ahdidan

646 total citations
10 papers, 433 citations indexed

About

Jamila Ahdidan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Jamila Ahdidan has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pharmacology. Recurrent topics in Jamila Ahdidan's work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Stress Responses and Cortisol (2 papers). Jamila Ahdidan is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Stress Responses and Cortisol (2 papers). Jamila Ahdidan collaborates with scholars based in Denmark, United States and France. Jamila Ahdidan's co-authors include Poul Videbech, M. Mallar Chakravarty, Jesper Frandsen, Cyrus A. Raji, Leif Østergaard, Rikke Beese Dalby, Raben Rosenberg, Milan Fiala, Dale E. Bredesen and Jonathan Canick and has published in prestigious journals such as NeuroImage, Psychological Medicine and Journal of Affective Disorders.

In The Last Decade

Jamila Ahdidan

9 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamila Ahdidan Denmark 9 139 134 121 78 55 10 433
Cynthia Cáceres Spain 14 205 1.5× 160 1.2× 155 1.3× 126 1.6× 113 2.1× 29 644
Lauren Nutile United States 6 238 1.7× 166 1.2× 62 0.5× 169 2.2× 51 0.9× 9 567
Daomin Zhu China 12 126 0.9× 73 0.5× 50 0.4× 40 0.5× 28 0.5× 27 366
Aikaterini Xekardaki Switzerland 10 130 0.9× 232 1.7× 133 1.1× 87 1.1× 50 0.9× 11 443
Shankar Tumati Canada 15 325 2.3× 123 0.9× 99 0.8× 71 0.9× 51 0.9× 27 573
Timothy J. Meeker United States 9 118 0.8× 69 0.5× 48 0.4× 130 1.7× 69 1.3× 23 383
Tarik Karakaya Germany 10 150 1.1× 164 1.2× 91 0.8× 122 1.6× 58 1.1× 18 378
Zeynab Alshelh United States 10 180 1.3× 159 1.2× 71 0.6× 319 4.1× 75 1.4× 19 597
David Ames Australia 7 161 1.2× 305 2.3× 85 0.7× 236 3.0× 94 1.7× 10 597

Countries citing papers authored by Jamila Ahdidan

Since Specialization
Citations

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

Fields of papers citing papers by Jamila Ahdidan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamila Ahdidan

This figure shows the co-authorship network connecting the top 25 collaborators of Jamila Ahdidan. A scholar is included among the top collaborators of Jamila Ahdidan 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 Jamila Ahdidan. Jamila Ahdidan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Bertrand, Anne, Enrica Cavedo, Simone Lista, et al.. (2017). [P2–379]: ACCURACY OF MRI CLASSIFICATION ALGORITHMS IN A TERTIARY MEMORY CENTER CLINICAL ROUTINE COHORT. Alzheimer s & Dementia. 13(7S_Part_15).
2.
Bredesen, Dale E., et al.. (2016). Reversal of cognitive decline in Alzheimer's disease. Aging. 8(6). 1250–1258. 105 indexed citations
3.
Ahdidan, Jamila, Cyrus A. Raji, Edgar A. DeYoe, et al.. (2015). Quantitative Neuroimaging Software for Clinical Assessment of Hippocampal Volumes on MR Imaging. Journal of Alzheimer s Disease. 49(3). 723–732. 35 indexed citations
4.
Ahdidan, Jamila, Leslie Foldager, Raben Rosenberg, et al.. (2013). Hippocampal volume and serotonin transporter polymorphism in major depressive disorder. Acta Neuropsychiatrica. 25(4). 206–214. 10 indexed citations
5.
Dalby, Rikke Beese, Jesper Frandsen, M. Mallar Chakravarty, et al.. (2012). Correlations between Stroop task performance and white matter lesion measures in late-onset major depression. Psychiatry Research Neuroimaging. 202(2). 142–149. 19 indexed citations
6.
Ahdidan, Jamila, M. Mallar Chakravarty, Barbara Ravnkilde, et al.. (2011). Longitudinal MR study of brain structure and hippocampus volume in major depressive disorder. Acta Psychiatrica Scandinavica. 123(3). 211–219. 47 indexed citations
7.
Dalby, Rikke Beese, Jesper Frandsen, M. Mallar Chakravarty, et al.. (2010). Depression severity is correlated to the integrity of white matter fiber tracts in late-onset major depression. Psychiatry Research Neuroimaging. 184(1). 38–48. 81 indexed citations
8.
Ravnkilde, Barbara, et al.. (2010). Hippocampal visuospatial function and volume in remitted depressed patients: An 8-year follow-up study. Journal of Affective Disorders. 125(1-3). 177–183. 18 indexed citations
9.
Jakobsen, Johannes, et al.. (2010). Regional brain atrophy in primary fatigued patients with multiple sclerosis. NeuroImage. 50(2). 608–615. 57 indexed citations
10.
Dalby, Rikke Beese, M. Mallar Chakravarty, Jamila Ahdidan, et al.. (2009). Localization of white-matter lesions and effect of vascular risk factors in late-onset major depression. Psychological Medicine. 40(8). 1389–1399. 61 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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