Pavlos Antoniou

1.4k total citations
17 papers, 448 citations indexed

About

Pavlos Antoniou is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Pavlos Antoniou has authored 17 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Pavlos Antoniou's work include Algorithms and Data Compression (5 papers), Genomics and Phylogenetic Studies (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Pavlos Antoniou is often cited by papers focused on Algorithms and Data Compression (5 papers), Genomics and Phylogenetic Studies (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Pavlos Antoniou collaborates with scholars based in United Kingdom, Cyprus and France. Pavlos Antoniou's co-authors include Marios Ioannides, Philippos C. Patsalis, Anna Schuh, Hélène Dreau, Michael D. Hadjidaniel, Pierre Peterlongo, Chrysanthia A. Leontiou, Janice Kielbassa, Marie-France Sagot and Rayan Chikhi and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Pavlos Antoniou

16 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavlos Antoniou United Kingdom 9 237 123 102 72 49 17 448
Benshang Li China 11 271 1.1× 70 0.6× 93 0.9× 34 0.5× 32 0.7× 33 450
Per Arne Andresen Norway 13 149 0.6× 80 0.7× 85 0.8× 91 1.3× 48 1.0× 24 556
Christoph Bartenhagen Germany 17 423 1.8× 150 1.2× 264 2.6× 50 0.7× 31 0.6× 28 651
Matthew R. Huska Germany 12 667 2.8× 85 0.7× 142 1.4× 30 0.4× 36 0.7× 21 917
C. Mattocks United Kingdom 9 150 0.6× 122 1.0× 74 0.7× 40 0.6× 18 0.4× 11 348
Benjamin Kelly United States 14 341 1.4× 203 1.7× 40 0.4× 20 0.3× 33 0.7× 38 575
Mathieu Lajoie Canada 14 399 1.7× 107 0.9× 139 1.4× 42 0.6× 30 0.6× 24 712
Willem C.R. Sloos Netherlands 14 290 1.2× 188 1.5× 43 0.4× 38 0.5× 22 0.4× 21 517
Joy Nakitandwe United States 12 304 1.3× 58 0.5× 101 1.0× 47 0.7× 23 0.5× 30 521
Zachary Ramjan United States 5 738 3.1× 164 1.3× 145 1.4× 29 0.4× 17 0.3× 6 831

Countries citing papers authored by Pavlos Antoniou

Since Specialization
Citations

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

Fields of papers citing papers by Pavlos Antoniou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavlos Antoniou

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

All Works

17 of 17 papers shown
1.
Schwarze, Katharina, James Buchanan, Jilles M. Fermont, et al.. (2019). The complete costs of genome sequencing: a microcosting study in cancer and rare diseases from a single center in the United Kingdom. Genetics in Medicine. 22(1). 85–94. 140 indexed citations
2.
Sosinsky, Alona, Pavlos Antoniou, John C. Ambrose, et al.. (2018). Abstract 434: 100,000 Genomes Project: Cancer program. Cancer Research. 78(13_Supplement). 434–434. 1 indexed citations
3.
Klintman, Jenny, Samantha J.L. Knight, Pauline Robbe, et al.. (2018). Clinical‐grade validation of whole genome sequencing reveals robust detection of low‐frequency variants and copy number alterations in CLL. British Journal of Haematology. 182(3). 412–417. 11 indexed citations
4.
Purshouse, Karin, Anna Schuh, Benjamin P. Fairfax, et al.. (2017). Whole-genome sequencing identifies homozygous BRCA2 deletion guiding treatment in dedifferentiated prostate cancer. Molecular Case Studies. 3(3). a001362–a001362. 8 indexed citations
5.
Blakemore, Stuart J., Ruth Clifford, Pavlos Antoniou, et al.. (2017). The contribution of gene mutations to long-term clinical outcomes: data from the randomised UK LRF CLL4 trial. ePrints Soton (University of Southampton). 2 indexed citations
6.
Stamatopoulos, Basile, Adele Timbs, Tom Smith, et al.. (2016). Targeted deep sequencing reveals clinically relevant subclonal IgHV rearrangements in chronic lymphocytic leukemia. Leukemia. 31(4). 837–845. 37 indexed citations
7.
Ioannides, Marios, Kyriakos Tsangaras, Michael D. Hadjidaniel, et al.. (2016). Whole-genome fetal and maternal DNA methylation analysis using MeDIP-NGS for the identification of differentially methylated regions. Genetics Research. 98. e15–e15. 11 indexed citations
8.
Stamatopoulos, Basile, Pavlos Antoniou, Dimitris Vavoulis, et al.. (2016). Characterization of Recurrent Mutations in Patient with a Richter Syndrome By Targeted Next Generation Sequencing. Blood. 128(22). 3200–3200. 2 indexed citations
9.
10.
Ioannides, Marios, Pavlos Antoniou, George Koumbaris, et al.. (2013). Implementation of High Resolution Whole Genome Array CGH in the Prenatal Clinical Setting: Advantages, Challenges, and Review of the Literature. BioMed Research International. 2013. 1–14. 30 indexed citations
11.
Kielbassa, Janice, Rayan Chikhi, Raluca Uricaru, et al.. (2012). KIS SPLICE: de-novo calling alternative splicing events from RNA-seq data. BMC Bioinformatics. 13(S6). S5–S5. 76 indexed citations
12.
Koumbaris, George, Marios Ioannides, Christodoulos Christodoulou, et al.. (2011). FoSTeS, MMBIR and NAHR at the human proximal Xp region and the mechanisms of human Xq isochromosome formation. Human Molecular Genetics. 20(10). 1925–1936. 29 indexed citations
13.
Antoniou, Pavlos, Costas S. Iliopoulos, Laurent Mouchard, & Solon P. Pissis. (2010). A Fast and Efficient Algorithm for Mapping Short Sequences to a Reference Genome. Advances in experimental medicine and biology. 680. 399–403. 26 indexed citations
14.
Antoniou, Pavlos, Costas S. Iliopoulos, Laurent Mouchard, & Solon P. Pissis. (2009). Algorithms for mapping short degenerate and weighted sequences to a reference genome. International Journal of Computational Biology and Drug Design. 2(4). 385–385. 1 indexed citations
15.
Antoniou, Pavlos, et al.. (2009). Mapping uniquely occurring short sequences derived from high throughput technologies to a reference genome. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 1 indexed citations
16.
Antoniou, Pavlos, et al.. (2008). Conservative String Covering of Indeterminate Strings.. Research Portal (King's College London). 108–115. 6 indexed citations
17.
Antoniou, Pavlos, Maxime Crochemore, Costas S. Iliopoulos, & Pierre Peterlongo. (2007). Application of suffix trees for the acquisition of common motifs with gaps in a set of strings. HAL (Le Centre pour la Communication Scientifique Directe). 57–66. 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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