Laila Abdullah

4.2k citations
90 papers · 2.9k indexed · h-index 34

Impact in

  • Neurology top 2%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Fibromyalgia and Chronic Fatigue Syndrome Research 13
    • Dementia and Cognitive Impairment Research 10
    • Alzheimer's disease research and treatments 20

Laila Abdullah

80 papers receiving 2.9k citations

Peers

Laila Abdullah
Comparison fields: 5 of 120
  • Neurology 439
  • Biological Psychiatry 113
  • Physiology 1.0k
  • Psychiatry and Mental health 596
  • Neurology 471
Replace Yuke Tian with:
Yuke Tian China
Joanna Pera Poland
Carmina Montoliú Spain
Masaki Mogi Japan
Catherine Widmann France
Shawn N. Whitehead Canada
Francisco-José Fernández-Gómez Spain
Inês Baldeiras Portugal
Jiong Shi United States
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Laila Abdullah relative to Yuke Tian China Yuke Tian's profile →
Citations per field
00.5×3.2×
Yuke Tian · 1×
Citations per year

Countries citing papers authored by Laila Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Laila Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 20235
3 20231
4 20230
5 20224
6 202139
7 202026
8 201925
9 201930
10 201936
11 201822
12 201625
13 201650
14 201647
15 200813
16 200836
17 200533
18 2004122
19 200231
20 200035

About Laila Abdullah

Laila Abdullah is a scholar working on Psychiatry and Mental health, Physiology, Neurology, Neurology and Biological Psychiatry, having authored 90 papers that have together received 2.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers), Dementia and Cognitive Impairment Research (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Mitochondrial Function and Pathology (9 papers), Traumatic Brain Injury Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Neurology (439 citations), Biological Psychiatry (113 citations), Physiology (1.0k citations), Psychiatry and Mental health (596 citations) and Neurology (471 citations). Laila Abdullah has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Fiona Crawford, Michael Mullan, Ghania Ait‐Ghezala, Ranjan Duara, Daniel Paris, John A. Schinka, James Evans, Benoit Mouzon, Samuil R. Umansky and Kira Sheinerman. Their work appears in journals such as Alzheimer s & Dementia, NeuroMolecular Medicine, Neurobiology of Aging, Aging and International Journal of Geriatric Psychiatry.

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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2026