Mara Bourbouli

412 total citations
18 papers, 265 citations indexed

About

Mara Bourbouli is a scholar working on Neurology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Mara Bourbouli has authored 18 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 9 papers in Physiology and 6 papers in Psychiatry and Mental health. Recurrent topics in Mara Bourbouli's work include Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (6 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Mara Bourbouli is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (6 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Mara Bourbouli collaborates with scholars based in Greece, United States and Germany. Mara Bourbouli's co-authors include Elisabeth Kapaki, George P. Paraskevas, Vasilios C. Constantinides, Ioannis Zaganas, Anastasia Bougea, Leonidas Stefanis, Fotini Boufidou, Vasiliki Zouvelou, Ioannis Evdokimidis and Michael Rentzos and has published in prestigious journals such as Cell Reports, Neurobiology of Aging and Journal of Alzheimer s Disease.

In The Last Decade

Mara Bourbouli

18 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mara Bourbouli Greece 11 115 110 71 48 44 18 265
Virpi Moilanen Finland 11 180 1.6× 144 1.3× 89 1.3× 53 1.1× 31 0.7× 14 351
Hironobu Endo Japan 10 101 0.9× 138 1.3× 75 1.1× 44 0.9× 67 1.5× 28 268
Timo Eninger Germany 3 136 1.2× 125 1.1× 61 0.9× 108 2.3× 38 0.9× 3 335
Jingxuan Huang China 10 73 0.6× 47 0.4× 19 0.3× 72 1.5× 30 0.7× 34 264
Mehtap Bacioglu United States 6 193 1.7× 180 1.6× 61 0.9× 114 2.4× 62 1.4× 8 412
Katsuhiko Shibuya Japan 12 80 0.7× 127 1.2× 33 0.5× 81 1.7× 53 1.2× 19 333
Tomás López‐Alburquerque Spain 14 221 1.9× 67 0.6× 18 0.3× 51 1.1× 104 2.4× 27 387
Mónica Díez-Fairén Spain 11 242 2.1× 101 0.9× 32 0.5× 104 2.2× 112 2.5× 19 385
Wang Zheng Chiu Netherlands 6 292 2.5× 137 1.2× 59 0.8× 50 1.0× 52 1.2× 8 361
Caroline Ran Sweden 15 98 0.9× 175 1.6× 268 3.8× 88 1.8× 53 1.2× 35 490

Countries citing papers authored by Mara Bourbouli

Since Specialization
Citations

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

Fields of papers citing papers by Mara Bourbouli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mara Bourbouli

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

All Works

18 of 18 papers shown
1.
Constantinides, Vasilios C., Fotini Boufidou, Mara Bourbouli, et al.. (2023). Application of the AT(N) and Other CSF Classification Systems in Behavioral Variant Frontotemporal Dementia. Diagnostics. 13(3). 332–332. 4 indexed citations
2.
Constantinides, Vasilios C., George P. Paraskevas, Fotini Boufidou, et al.. (2023). CSF Aβ42 and Aβ42/Aβ40 Ratio in Alzheimer’s Disease and Frontotemporal Dementias. Diagnostics. 13(4). 783–783. 25 indexed citations
3.
Bourbouli, Mara, Helen Latsoudis, Garyfallia Gouna, et al.. (2022). Study of Alzheimer's disease- and frontotemporal dementia-associated genes in the Cretan Aging Cohort. Neurobiology of Aging. 123. 111–128. 5 indexed citations
4.
Kapaki, Elisabeth, et al.. (2022). Cerebrospinal Fluid Biomarker Profile in TDP-43-Related Genetic Frontotemporal Dementia. Journal of Personalized Medicine. 12(10). 1747–1747. 7 indexed citations
5.
Bourbouli, Mara, George P. Paraskevas, Vasiliki Zouvelou, et al.. (2021). Genotyping and Plasma/Cerebrospinal Fluid Profiling of a Cohort of Frontotemporal Dementia–Amyotrophic Lateral Sclerosis Patients. Brain Sciences. 11(9). 1239–1239. 7 indexed citations
6.
7.
Constantinides, Vasilios C., George P. Paraskevas, Fotini Boufidou, et al.. (2020). Cerebrospinal fluid biomarker profiling in corticobasal degeneration: Application of the AT(N) and other classification systems. Parkinsonism & Related Disorders. 82. 44–49. 15 indexed citations
8.
Basta, Maria, Ioannis Zaganas, Panagiotis G. Simos, et al.. (2020). Apolipoprotein E ɛ4 (APOE ɛ4) Allele is Associated with Long Sleep Duration Among Elderly with Cognitive Impairment. Journal of Alzheimer s Disease. 79(2). 763–771. 14 indexed citations
9.
Constantinides, Vasilios C., George P. Paraskevas, Fotini Boufidou, et al.. (2020). Cerebrospinal fluid amyloid beta and tau proteins in atypical Parkinsonism: a review. Neuroimmunology and Neuroinflammation. 2020. 4 indexed citations
10.
Basta, Maria, Alexandros N. Vgontzas, Ioannis Zaganas, et al.. (2020). Objective Daytime Napping is Associated with Disease Severity and Inflammation in Patients with Mild to Moderate Dementia1. Journal of Alzheimer s Disease. 74(3). 803–815. 21 indexed citations
11.
Paraskevas, George P., et al.. (2019). In vivo Prevalence of Alzheimer Biomarkers in Dementia with Lewy Bodies. Dementia and Geriatric Cognitive Disorders. 47(4-6). 289–296. 15 indexed citations
12.
13.
Bourbouli, Mara, et al.. (2018). Localization of Human Glutamate Dehydrogenases Provides Insights into Their Metabolic Role and Their Involvement in Disease Processes. Neurochemical Research. 44(1). 170–187. 21 indexed citations
14.
Papadimas, George K., George P. Paraskevas, Thomas Zambelis, et al.. (2017). The multifaceted clinical presentation of VCP-proteinopathy in a Greek family.. PubMed. 36(4). 203–206. 13 indexed citations
15.
Bourbouli, Mara, Michael Rentzos, Anastasia Bougea, et al.. (2017). Cerebrospinal Fluid TAR DNA-Binding Protein 43 Combined with Tau Proteins as a Candidate Biomarker for Amyotrophic Lateral Sclerosis and Frontotemporal Dementia Spectrum Disorders. Dementia and Geriatric Cognitive Disorders. 44(3-4). 144–152. 44 indexed citations
16.
Bougea, Anastasia, Christos Koros, María Stamelou, et al.. (2016). Frontotemporal dementia as the presenting phenotype of p.A53T mutation carriers in the alpha-synuclein gene. Parkinsonism & Related Disorders. 35. 82–87. 25 indexed citations
17.
Santana, Isabel, Inês Baldeiras, Magda Tsolaki, et al.. (2015). Does Caffeine Consumption Modify Cerebrospinal Fluid Amyloid-β Levels in Patients with Alzheimer’s Disease?. Journal of Alzheimer s Disease. 47(4). 1069–1078. 23 indexed citations
18.
Ilias, Ιoannis, George P. Paraskevas, Anastasia Bougea, et al.. (2015). Thyroid Autoantibodies in the Cerebrospinal Fluid of Subjects with and without Thyroid Disease: Implications for Hashimoto’s Encephalopathy. Journal of Thyroid Research. 2015. 1–4. 6 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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