Panagiotis Alexiou

5.3k total citations
52 papers, 3.7k citations indexed

About

Panagiotis Alexiou is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Panagiotis Alexiou has authored 52 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 20 papers in Cancer Research and 10 papers in Plant Science. Recurrent topics in Panagiotis Alexiou's work include RNA modifications and cancer (19 papers), MicroRNA in disease regulation (17 papers) and RNA Research and Splicing (16 papers). Panagiotis Alexiou is often cited by papers focused on RNA modifications and cancer (19 papers), MicroRNA in disease regulation (17 papers) and RNA Research and Splicing (16 papers). Panagiotis Alexiou collaborates with scholars based in United States, Greece and Czechia. Panagiotis Alexiou's co-authors include Manolis Maragkakis, Artemis G. Hatzigeorgiou, Martin Reczko, Giorgio L. Papadopoulos, Zissimos P. Mourelatos, Theodore Dalamagas, Thanasis Vergoulis, Nectarios Koziris, Ivo Große and Anastassios Vourekas and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

Panagiotis Alexiou

50 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panagiotis Alexiou United States 25 2.9k 2.1k 419 194 165 52 3.7k
Nicole Ludwig Germany 32 2.3k 0.8× 1.6k 0.8× 252 0.6× 310 1.6× 209 1.3× 100 3.5k
Feng‐Mao Lin Taiwan 12 2.5k 0.8× 1.8k 0.8× 519 1.2× 208 1.1× 87 0.5× 17 3.4k
Juw Won Park United States 25 3.1k 1.1× 909 0.4× 277 0.7× 237 1.2× 227 1.4× 52 3.7k
Ângelo Calado Portugal 19 2.7k 0.9× 1.6k 0.7× 175 0.4× 423 2.2× 186 1.1× 24 3.6k
Harsh Dweep Germany 16 1.7k 0.6× 1.4k 0.7× 132 0.3× 203 1.0× 202 1.2× 33 2.4k
Robert F. Place United States 30 3.7k 1.3× 2.4k 1.1× 159 0.4× 238 1.2× 279 1.7× 47 4.7k
Huili Guo Singapore 13 4.6k 1.6× 3.7k 1.7× 292 0.7× 361 1.9× 167 1.0× 21 5.4k
Andrew M. Thomson Australia 16 3.0k 1.0× 2.3k 1.1× 144 0.3× 239 1.2× 178 1.1× 26 3.9k
Priyanka Pandey India 18 1.8k 0.6× 1.3k 0.6× 327 0.8× 157 0.8× 256 1.6× 46 2.5k
Martin J. Simard Canada 29 3.7k 1.3× 1.9k 0.9× 725 1.7× 306 1.6× 185 1.1× 59 4.6k

Countries citing papers authored by Panagiotis Alexiou

Since Specialization
Citations

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

Fields of papers citing papers by Panagiotis Alexiou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panagiotis Alexiou

This figure shows the co-authorship network connecting the top 25 collaborators of Panagiotis Alexiou. A scholar is included among the top collaborators of Panagiotis Alexiou 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 Panagiotis Alexiou. Panagiotis Alexiou 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.
2.
Belair, Cédric, et al.. (2024). Deep learning and direct sequencing of labeled RNA captures transcriptome dynamics. NAR Genomics and Bioinformatics. 6(3). lqae116–lqae116. 1 indexed citations
3.
Leu, N. Adrian, Anastassios Vourekas, Panagiotis Alexiou, et al.. (2023). The MOV10 RNA helicase is a dosage-dependent host restriction factor for LINE1 retrotransposition in mice. PLoS Genetics. 19(5). e1010566–e1010566. 4 indexed citations
4.
Majtner, Tomáš, et al.. (2023). Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes. Biology. 12(10). 1276–1276. 2 indexed citations
5.
Fulneček, Jaroslav, et al.. (2023). The SAP domain of Ku facilitates its efficient loading onto DNA ends. Nucleic Acids Research. 51(21). 11706–11716. 1 indexed citations
6.
7.
Samalova, Marketa, Kareem Elsayad, Alexis Peaucelle, et al.. (2023). Hormone-regulated expansins: Expression, localization, and cell wall biomechanics in Arabidopsis root growth. PLANT PHYSIOLOGY. 194(1). 209–228. 32 indexed citations
8.
Majtner, Tomáš, et al.. (2022). ENNGene: an Easy Neural Network model building tool for Genomics. BMC Genomics. 23(1). 248–248. 7 indexed citations
9.
Growková, Kateřina, Amandine Verlande, Radek Jorda, et al.. (2020). CDK9 activity is critical for maintaining MDM4 overexpression in tumor cells. Cell Death and Disease. 11(9). 24 indexed citations
10.
Vrettos, Nicholas, Manolis Maragkakis, Panagiotis Alexiou, et al.. (2020). Modulation of Aub–TDRD interactions elucidates piRNA amplification and germplasm formation. Life Science Alliance. 4(3). e202000912–e202000912. 12 indexed citations
11.
Γεωργακίλας, Γεώργιος, et al.. (2020). Multi-branch Convolutional Neural Network for Identification of Small Non-coding RNA genomic loci. Scientific Reports. 10(1). 9486–9486. 15 indexed citations
12.
Vrettos, Nicholas, Manolis Maragkakis, Panagiotis Alexiou, & Zissimos P. Mourelatos. (2016). Kc167, a widely used Drosophila cell line, contains an active primary piRNA pathway. RNA. 23(1). 108–118. 13 indexed citations
13.
Vourekas, Anastassios, Panagiotis Alexiou, Nicholas Vrettos, Manolis Maragkakis, & Zissimos P. Mourelatos. (2016). Sequence-dependent but not sequence-specific piRNA adhesion traps mRNAs to the germ plasm. Nature. 531(7594). 390–394. 99 indexed citations
14.
Maragkakis, Manolis, Panagiotis Alexiou, Tadashi Nakaya, & Zissimos P. Mourelatos. (2015). CLIPSeqTools—a novel bioinformatics CLIP-seq analysis suite. RNA. 22(1). 1–9. 40 indexed citations
15.
Liu, Xuhang, Qi Zheng, Nicholas Vrettos, et al.. (2014). A MicroRNA Precursor Surveillance System in Quality Control of MicroRNA Synthesis. Molecular Cell. 55(6). 868–879. 69 indexed citations
16.
Honda, Shozo, Manolis Maragkakis, Panagiotis Alexiou, et al.. (2013). Mitochondrial protein BmPAPI modulates the length of mature piRNAs. RNA. 19(10). 1405–1418. 66 indexed citations
17.
Marotta, Diane, Jayashree Karar, W. Timothy Jenkins, et al.. (2011). In Vivo Profiling of Hypoxic Gene Expression in Gliomas Using the Hypoxia Marker EF5 and Laser-capture Microdissection. Cancer Research. 71(3). 779–789. 44 indexed citations
18.
Maragkakis, Manolis, Thanasis Vergoulis, Panagiotis Alexiou, et al.. (2011). DIANA-microT Web server upgrade supports Fly and Worm miRNA target prediction and bibliographic miRNA to disease association. Nucleic Acids Research. 39(suppl). W145–W148. 116 indexed citations
19.
Alexiou, Panagiotis, Thanasis Vergoulis, George Prekas, et al.. (2009). miRGen 2.0: a database of microRNA genomic information and regulation. Nucleic Acids Research. 38(suppl_1). D137–D141. 112 indexed citations
20.
Dimopoulos, N.J., et al.. (2006). A new neural network ensemble heuristic for a predictor of the aldose reductase inhibitory activity. 838–843. 4 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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