Makrina Daniilidou

5.5k total citations
17 papers, 331 citations indexed

About

Makrina Daniilidou is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Makrina Daniilidou has authored 17 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Makrina Daniilidou's work include Alzheimer's disease research and treatments (4 papers), Diet and metabolism studies (3 papers) and Tryptophan and brain disorders (3 papers). Makrina Daniilidou is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Diet and metabolism studies (3 papers) and Tryptophan and brain disorders (3 papers). Makrina Daniilidou collaborates with scholars based in Greece, United Kingdom and Sweden. Makrina Daniilidou's co-authors include Magda Tsolaki, Maria Koutroumani, Petroula Proitsi, Michelle K. Lupton, John Powell, Αnastasia A. Pantazaki, Eleni G. Andreadou, Anna Matton, Kuang Lin and Gillian Hamilton and has published in prestigious journals such as PLoS Medicine, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Current Medicinal Chemistry.

In The Last Decade

Makrina Daniilidou

17 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Makrina Daniilidou Greece	11	131	122	48	37	30	17	331
Gianluca Cipriani Italy	11	105 0.8×	90 0.7×	100 2.1×	26 0.7×	17 0.6×	23	414
Jianjing Xue United States	13	87 0.7×	180 1.5×	85 1.8×	29 0.8×	20 0.7×	16	559
Laura H. Vähätalo Finland	12	120 0.9×	130 1.1×	73 1.5×	32 0.9×	16 0.5×	16	422
Sunny Chen United States	11	157 1.2×	216 1.8×	21 0.4×	60 1.6×	40 1.3×	27	468
Gülay Üzüm Türkiye	13	88 0.7×	98 0.8×	18 0.4×	22 0.6×	47 1.6×	22	383
Youjiao Chen China	9	87 0.7×	140 1.1×	14 0.3×	84 2.3×	27 0.9×	9	365
Mihael Rogač Slovenia	5	51 0.4×	108 0.9×	41 0.9×	57 1.5×	27 0.9×	9	355
Raiza Bonomo United States	9	144 1.1×	126 1.0×	23 0.5×	16 0.4×	13 0.4×	14	290

Countries citing papers authored by Makrina Daniilidou

Since Specialization

Citations

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

Fields of papers citing papers by Makrina Daniilidou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makrina Daniilidou

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

All Works

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17 of 17 papers shown

Goikolea, Julen, Gorka Gereñu, Makrina Daniilidou, et al.. (2022). Serum Thioredoxin-80 is associated with age, ApoE4, and neuropathological biomarkers in Alzheimer’s disease: a potential early sign of AD. Alzheimer s Research & Therapy. 14(1). 37–37. 12 indexed citations

Daniilidou, Makrina, Göran Hagman, Shireen Sindi, et al.. (2021). Stress and Alzheimer’s disease: Linking salivary cortisol to biomarkers of neurodegeneration and cognitive decline in a memory clinic cohort. Alzheimer s & Dementia. 17(S5). 1 indexed citations

Daniilidou, Makrina, Ingemar Kåreholt, Shireen Sindi, et al.. (2021). Serum proBDNF Is Associated With Changes in the Ketone Body β-Hydroxybutyrate and Shows Superior Repeatability Over Mature BDNF: Secondary Outcomes From a Cross-Over Trial in Healthy Older Adults. Frontiers in Aging Neuroscience. 13. 716594–716594. 12 indexed citations

Håkansson, Krister, Julen Goikolea, Makrina Daniilidou, et al.. (2021). Serum proBDNF availability predicts memory gains in the FINGER multimodal lifestyle intervention. Alzheimer s & Dementia. 17(S5). 2 indexed citations

Sindi, Shireen, Anna Matton, Ingemar Kåreholt, et al.. (2020). Ketosis After Intake of Coconut Oil and Caprylic Acid—With and Without Glucose: A Cross-Over Study in Healthy Older Adults. Frontiers in Nutrition. 7. 40–40. 31 indexed citations

Berntsson, Shala Ghaderi, Makrina Daniilidou, Niklas Dahl, et al.. (2020). Aniridia with PAX6 mutations and narcolepsy. Journal of Sleep Research. 29(6). e12982–e12982. 9 indexed citations

Hallberg, Pär, Hans Smedje, Niclas Eriksson, et al.. (2019). Pandemrix-induced narcolepsy is associated with genes related to immunity and neuronal survival. EBioMedicine. 40. 595–604. 36 indexed citations

Tsolaki, Anthoula, et al.. (2018). Prevalence of Apolipoprotein E Polymorphisms in Alzheimer’s Disease, Mild Cognitive Impairment, and Healthy Elderly: A Northern Greece Study. Neurodegenerative Diseases. 18(4). 216–224. 10 indexed citations

Andreadou, Eleni G., Αnastasia A. Pantazaki, Makrina Daniilidou, & Magda Tsolaki. (2017). Rhamnolipids, Microbial Virulence Factors, in Alzheimer’s Disease. Journal of Alzheimer s Disease. 59(1). 209–222. 26 indexed citations

10.

Proitsi, Petroula, Michelle K. Lupton, Latha Velayudhan, et al.. (2014). Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis. PLoS Medicine. 11(9). e1001713–e1001713. 66 indexed citations

11.

Koutroumani, Maria, Makrina Daniilidou, Thomas Giannakouŕos, et al.. (2013). The deletion variant of α2b-adrenergic receptor is associated with decreased risk in Alzheimer's disease and mild cognitive impairment. Journal of the Neurological Sciences. 328(1-2). 19–23. 10 indexed citations

12.

Lupton, Michelle K., Petroula Proitsi, Kuang Lin, et al.. (2013). The Role of ABCA1 Gene Sequence Variants on Risk of Alzheimer's Disease. Journal of Alzheimer s Disease. 38(4). 897–906. 45 indexed citations

13.

Daniilidou, Makrina, Magda Tsolaki, Thomas Giannakouŕos, & Eleni Nikolakaki. (2011). Detection of elevated antibodies against SR protein kinase 1 in the serum of Alzheimer's disease patients. Journal of Neuroimmunology. 238(1-2). 67–72. 7 indexed citations

14.

Daniilidou, Makrina, Maria Koutroumani, & Magda Tsolaki. (2011). Epigenetic Mechanisms in Alzheimer's Disease. Current Medicinal Chemistry. 18(12). 1751–1756. 34 indexed citations

15.

Sanidas, Ioannis, Vassiliki Kotoula, Eleni Ritou, et al.. (2010). The ratio of SRPK1/SRPK1a regulates erythroid differentiation in K562 leukaemic cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(12). 1319–1331. 13 indexed citations

16.

Gounaris, Antonios, et al.. (1998). Gut hormone levels in neonates under phototherapy. Early Human Development. 51(1). 57–60. 4 indexed citations

17.

Gounaris, Antonios, et al.. (1997). Gut hormone concentrations in preterm infants with necrotizing enterocolitis. Acta Paediatrica. 86(7). 762–763. 13 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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