Anna Vasilaki

886 total citations
32 papers, 696 citations indexed

About

Anna Vasilaki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Anna Vasilaki has authored 32 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Epidemiology. Recurrent topics in Anna Vasilaki's work include Receptor Mechanisms and Signaling (16 papers), Retinal Development and Disorders (7 papers) and Neuroendocrine Tumor Research Advances (6 papers). Anna Vasilaki is often cited by papers focused on Receptor Mechanisms and Signaling (16 papers), Retinal Development and Disorders (7 papers) and Neuroendocrine Tumor Research Advances (6 papers). Anna Vasilaki collaborates with scholars based in Greece, Switzerland and Germany. Anna Vasilaki's co-authors include Kyriaki Thermos, Elias Kouroumalis, J. Moschandrea, Panagiotis Skordilis, O.N. Manousos, Daniël Hoyer, Christina Spyraki, Jacques Epelbaum, David Stephens and Andy Mead and has published in prestigious journals such as Gut, International Journal of Molecular Sciences and Journal of Neurochemistry.

In The Last Decade

Anna Vasilaki

32 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Vasilaki Greece 15 291 260 149 141 82 32 696
Zhang Xue-lin China 17 254 0.9× 94 0.4× 56 0.4× 47 0.3× 68 0.8× 54 1.0k
Liat Hayardeny Israel 20 319 1.1× 194 0.7× 203 1.4× 37 0.3× 90 1.1× 35 1.2k
Takashi Shimomura Japan 13 260 0.9× 72 0.3× 64 0.4× 71 0.5× 24 0.3× 29 679
Martin Laser Germany 14 410 1.4× 42 0.2× 125 0.8× 22 0.2× 53 0.6× 15 853
Maria Troullinaki Germany 11 159 0.5× 77 0.3× 48 0.3× 41 0.3× 44 0.5× 15 440
Gamze Ayata United States 14 135 0.5× 389 1.5× 115 0.8× 223 1.6× 82 1.0× 21 871
Masahiko Nomura Japan 14 226 0.8× 82 0.3× 78 0.5× 92 0.7× 25 0.3× 34 541
Sébastien Dussaud France 7 308 1.1× 171 0.7× 77 0.5× 78 0.6× 30 0.4× 14 893
Mary Nivison United States 9 302 1.0× 65 0.3× 80 0.5× 97 0.7× 37 0.5× 14 601
Yoichiro Kai Japan 14 329 1.1× 94 0.4× 83 0.6× 53 0.4× 22 0.3× 19 605

Countries citing papers authored by Anna Vasilaki

Since Specialization
Citations

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

Fields of papers citing papers by Anna Vasilaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Vasilaki

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

All Works

20 of 20 papers shown
1.
Savvas, Ilias Κ., et al.. (2024). Hybrid Quantum Neural Network Approaches to Protein–Ligand Binding Affinity Prediction. Mathematics. 12(15). 2372–2372. 1 indexed citations
2.
Savvas, Ilias Κ., et al.. (2023). Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery. Electronics. 12(11). 2402–2402. 14 indexed citations
3.
Vasilaki, Anna, Vasiliki Tsolaki, Μαρία Ιωάννου, et al.. (2023). Critical-Illness: Combined Effects of Colistin and Vasoactive Drugs: A Pilot Study. Antibiotics. 12(6). 1057–1057. 4 indexed citations
4.
Vasilaki, Anna, et al.. (2023). Colistin Effects on Emphysematous Lung in an LPS-Sepsis Model. Antibiotics. 12(12). 1731–1731. 1 indexed citations
5.
Savvas, Ilias Κ., et al.. (2022). Quantum Machine Learning in Drug Discovery: Current State and Challenges. 394–401. 4 indexed citations
6.
Vasilaki, Anna, et al.. (2015). Evidence of deregulated cholesterol efflux in abdominal aortic aneurysm. Acta Histochemica. 118(2). 97–108. 10 indexed citations
7.
Paraskeva, Efrosyni, Anna Vasilaki, Ilias Mylonis, et al.. (2014). Long-term exposure to muscarinic agonists decreases expression of contractile proteins and responsiveness of rabbit tracheal smooth muscle cells. BMC Pulmonary Medicine. 14(1). 39–39. 9 indexed citations
8.
Leondaritis, George, et al.. (2013). PKC-epsilon activation is required for recognition memory in the rat. Behavioural Brain Research. 253. 280–289. 18 indexed citations
9.
10.
Vasilaki, Anna & Kyriaki Thermos. (2009). Somatostatin analogues as therapeutics in retinal disease. Pharmacology & Therapeutics. 122(3). 324–333. 22 indexed citations
11.
Hatziefthimiou, Apostolia, et al.. (2008). REGIONAL DIFFERENCES IN THE MODULATORY ROLE OF THE EPITHELIUM IN SHEEP AIRWAY. Clinical and Experimental Pharmacology and Physiology. 36(7). 668–674. 4 indexed citations
12.
Kouvaras, Evangelos, E. Asprodini, Anna Vasilaki, et al.. (2008). Fentanyl treatment reduces GABAergic inhibition in the CA1 area of the hippocampus 24 h after acute exposure to the drug. Neuropharmacology. 55(7). 1172–1182. 13 indexed citations
13.
Vasilaki, Anna, et al.. (2006). Somatostatin receptors in wildtype and somatostatin deficient mice and their involvement in nitric oxide physiology in the retina. Neuropeptides. 40(5). 365–373. 11 indexed citations
14.
Vasilaki, Anna. (2004). Effect of Somatostatin on Nitric Oxide Production in Human Retinal Pigment Epithelium Cell Cultures. Investigative Ophthalmology & Visual Science. 45(5). 1499–1506. 29 indexed citations
15.
Vasilaki, Anna, et al.. (2004). The somatostatin receptor (sst1) modulates the release of somatostatin in the nucleus accumbens of the rat. Neuropharmacology. 47(4). 612–618. 26 indexed citations
16.
Grigoryan, E. N., et al.. (2003). Somatostatin receptor immunoreactivity in the eye of the adult newt (Pleurodeles waltlii Michan). Neuroscience Letters. 337(3). 143–146. 7 indexed citations
17.
Monte, Massimo Dal, Cristina Petrucci, Anna Vasilaki, et al.. (2003). Genetic deletion of somatostatin receptor 1 alters somatostatinergic transmission in the mouse retina. Neuropharmacology. 45(8). 1080–1092. 41 indexed citations
18.
Vasilaki, Anna, et al.. (2002). Somatostatin Regulates Nitric Oxide Production in Human Retinal Pigment Epithelial (RPE) Cell Cultures. Investigative Ophthalmology & Visual Science. 43(13). 4584–4584. 3 indexed citations
19.
Mead, Andy, Anna Vasilaki, Christina Spyraki, Theodora Duka, & David Stephens. (1999). AMPA‐receptor involvement in c‐fos expression in the medial prefrontal cortex and amygdala dissociates neural substrates of conditioned activity and conditioned reward. European Journal of Neuroscience. 11(11). 4089–4098. 52 indexed citations
20.
Kouroumalis, Elias, Panagiotis Skordilis, Kyriaki Thermos, et al.. (1998). Treatment of hepatocellular carcinoma with octreotide: a randomised controlled study. Gut. 42(3). 442–447. 196 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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