Xavier Mata

541 total citations
28 papers, 365 citations indexed

About

Xavier Mata is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Xavier Mata has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Cell Biology. Recurrent topics in Xavier Mata's work include Animal Genetics and Reproduction (6 papers), Veterinary Equine Medical Research (5 papers) and Cancer-related molecular mechanisms research (4 papers). Xavier Mata is often cited by papers focused on Animal Genetics and Reproduction (6 papers), Veterinary Equine Medical Research (5 papers) and Cancer-related molecular mechanisms research (4 papers). Xavier Mata collaborates with scholars based in France, Morocco and Denmark. Xavier Mata's co-authors include Éric Barrey, Laurent Schibler, Anne Vaiman, G. Guérin, Stéphane Chaffaux, Núria Mach, Gérard Guérin, Céline Robert, Vincent Gerber and Laurence Le Moyec and has published in prestigious journals such as PLoS ONE, FEBS Letters and Gene.

In The Last Decade

Xavier Mata

26 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xavier Mata France 13 164 111 88 72 72 28 365
Anne Vaiman France 12 212 1.3× 138 1.2× 32 0.4× 89 1.2× 33 0.5× 20 365
Monika Stefaniuk‐Szmukier Poland 10 93 0.6× 224 2.0× 116 1.3× 37 0.5× 149 2.1× 45 400
Bérénice Herszberg France 6 111 0.7× 32 0.3× 38 0.4× 14 0.2× 64 0.9× 7 352
Jingjing Gu China 15 316 1.9× 419 3.8× 179 2.0× 66 0.9× 180 2.5× 42 844
Rita G. Fonseca Ireland 11 171 1.0× 281 2.5× 178 2.0× 20 0.3× 158 2.2× 13 493
Matanobu ABE Japan 14 184 1.1× 78 0.7× 56 0.6× 18 0.3× 20 0.3× 61 607
Telhisa HASEGAWA Japan 13 190 1.2× 342 3.1× 53 0.6× 12 0.2× 68 0.9× 42 554
Ulla Gustafson Sweden 7 203 1.2× 221 2.0× 84 1.0× 35 0.5× 8 0.1× 7 500
Elaine Seawright United Kingdom 15 171 1.0× 88 0.8× 39 0.4× 38 0.5× 12 0.2× 21 719
Ewelina Semik‐Gurgul Poland 10 167 1.0× 243 2.2× 14 0.2× 111 1.5× 27 0.4× 45 449

Countries citing papers authored by Xavier Mata

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xavier Mata

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Mata. A scholar is included among the top collaborators of Xavier Mata 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 Xavier Mata. Xavier Mata 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.
Thyrring, Jakob, Xavier Mata, Pernille Bangsgaard, et al.. (2024). Advancing responsible genomic analyses of ancient mollusc shells. PLoS ONE. 19(5). e0302646–e0302646.
2.
Mata, Xavier, Gabriel Renaud, & Catherine Mollereau. (2019). The repertoire of family A-peptide GPCRs in archaic hominins. Peptides. 122. 170154–170154. 3 indexed citations
3.
Mata, Xavier, Laure Tonasso, Éric Crubézy, et al.. (2018). Oral health status in historic population: Macroscopic and metagenomic evidence. PLoS ONE. 13(5). e0196482–e0196482. 21 indexed citations
4.
Ricard, Anne, Céline Robert, Caroline Morgenthaler, et al.. (2017). Endurance Exercise Ability in the Horse: A Trait with Complex Polygenic Determinism. Frontiers in Genetics. 8. 89–89. 30 indexed citations
5.
Moyec, Laurence Le, Céline Robert, Mohamed N. Triba, et al.. (2014). Protein Catabolism and High Lipid Metabolism Associated with Long-Distance Exercise Are Revealed by Plasma NMR Metabolomics in Endurance Horses. PLoS ONE. 9(3). e90730–e90730. 33 indexed citations
6.
Vaiman, Anne, Xavier Mata, Rachel Legendre, et al.. (2014). Next-generation sequencing identifies equine cartilage and subchondral bone miRNAs and suggests their involvement in osteochondrosis physiopathology. BMC Genomics. 15(1). 798–798. 31 indexed citations
7.
Chat, Sophie, Rachel Legendre, Julie Rivière, et al.. (2014). Involvement of mitochondrial dysfunction and ER-stress in the physiopathology of equine osteochondritis dissecans (OCD). Experimental and Molecular Pathology. 96(3). 328–338. 15 indexed citations
8.
Mata, Xavier, et al.. (2011). Genomic structure, polymorphism and expression of the horse alpha-actinin-3 gene. Gene. 491(1). 20–24. 10 indexed citations
10.
Mata, Xavier, et al.. (2010). Genomic structure, polymorphism and expression of ACCN1 and ACCN3 genes in the horse. Animal Genetics. 41(s2). 138–144. 1 indexed citations
11.
Barrey, Éric, et al.. (2010). Muscular microRNA expressions in healthy and myopathic horses suffering from polysaccharide storage myopathy or recurrent exertional rhabdomyolysis. Equine Veterinary Journal. 42(s38). 303–310. 24 indexed citations
12.
Barrey, Éric, Elodie Mucher, Thibaut Larcher, et al.. (2009). Gene expression profiling in equine polysaccharide storage myopathy revealed inflammation, glycogenesis inhibition, hypoxia and mitochondrial dysfunctions. BMC Veterinary Research. 5(1). 29–29. 25 indexed citations
13.
Herszberg, Bérénice, Molly E. McCue, Thibaut Larcher, et al.. (2008). A GYS1 gene mutation is highly associated with polysaccharide storage myopathy in Cob Normand draught horses. Animal Genetics. 40(1). 94–96. 22 indexed citations
14.
Berg, Lise Charlotte, Xavier Mata, & Preben D. Thomsen. (2007). Molecular characterization and chromosomal assignment of equine cartilage derived retinoic acid sensitive protein (CD–RAP)/melanoma inhibitory activity (MIA). Gene. 407(1-2). 98–104. 5 indexed citations
15.
Herszberg, Bérénice, Xavier Mata, Elena Giulotto, et al.. (2007). Characterization of the equine glycogen debranching enzyme gene (AGL): Genomic and cDNA structure, localization, polymorphism and expression. Gene. 404(1-2). 1–9. 5 indexed citations
16.
Perrocheau, M., Sead Chadi, Xavier Mata, et al.. (2006). Construction of a medium‐density horse gene map. Animal Genetics. 37(2). 145–155. 23 indexed citations
17.
Mata, Xavier, Nathalie Besnard, Gaëlle Tilly, et al.. (2003). Unexpected high testis‐specific transcriptional activity of the cyclin T1 promoter in transgenic mice. FEBS Letters. 549(1-3). 163–166.
18.
Mata, Xavier, Séad Taourit, & Jean–Luc Vilotte. (2002). Sequence of goat cyclin T1 cDNA, gene organisation and expression analysis. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1579(2-3). 203–206. 3 indexed citations
19.
Mata, Xavier, et al.. (2002). Ubiquitous expression of goat cyclin T1 in transgenic mice. Transgenic Research. 11(1). 65–68. 8 indexed citations
20.
Soulier, Solange, Marie‐Georges Stinnakre, Laurence Lepourry, et al.. (2000). Distal element(s) is(are) required for position-independent expression of the goat α-lactalbumin gene in transgenic mice. Potential relationship with the location of the cyclin T1 locus. Genetics Selection Evolution. 32(6). 621–30. 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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