Anna Vasilaki

900 citations
33 papers · 705 · h-index 15

Impact in

Papers in

Anna Vasilaki

33 papers receiving 691 citations

Peers

Anna Vasilaki
Comparison fields: 5 of 88
  • Hepatology 119
  • Cellular and Molecular Neuroscience 137
  • Epidemiology 216
  • Ophthalmology 42
  • Reproductive Medicine 33
Replace Biao Li with:
Biao Li China
Masahiko Nomura Japan
Hisaka Kawate Japan
Maria Troullinaki Germany
F Stivala Italy
Nikolaus Berndt Germany
Yoichiro Kai Japan
Di Li China
Martin Laser United States
Zahra Tanfin France
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Citations per field
00.5×8.3×
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998195
2 199951
3 200341
4 200238
5
NADPH-diaphorase colocalization with somatostatin receptor subtypes sst2A and sst2B in the retina.
200137
6 201536
7 200433
8 200429
9 200426
10 200323
11 200922
12 200820
13 201318
14 201918
15 202315
16 200814
17 200611
18 201311
19 201510
20 20149

About Anna Vasilaki

Anna Vasilaki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Artificial Intelligence and Physiology, having authored 33 papers that have together received 705 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Retinal Development and Disorders (5 papers), Quantum Computing Algorithms and Architecture (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Reproductive Physiology in Livestock (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Hepatology (119 citations), Cellular and Molecular Neuroscience (137 citations), Epidemiology (216 citations), Ophthalmology (42 citations) and Reproductive Medicine (33 citations). Anna Vasilaki has collaborated with scholars based in Greece, Switzerland and Germany. Frequent co-authors include Kyriaki Thermos, Elias Kouroumalis, Panagiotis Skordilis, J. Moschandrea, O.N. Manousos, Daniël Hoyer, Jacques Epelbaum, Christina Spyraki, David Stephens and Andy Mead. Their work appears in journals such as Neuropharmacology, Systems Biology in Reproductive Medicine, Antibiotics, Investigative Ophthalmology & Visual Science and Water Resources and Economics.

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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