Xavier Mata

541 citations
28 papers · 365 · h-index 13

Impact in

  • Equine top 2%
    • Veterinary Equine Medical Research
    • Muscle metabolism and nutrition

Papers in

    • Genomics and Phylogenetic Studies 2
    • CRISPR and Genetic Engineering 2
    • Animal Genetics and Reproduction 6

Xavier Mata

26 papers receiving 359 citations

Peers

Xavier Mata
Comparison fields: 5 of 77
  • Equine 72
  • Cell Biology 88
  • Rehabilitation 34
  • Cancer Research 72
  • Genetics 111
Replace Monika Stefaniuk‐Szmukier with:
Monika Stefaniuk‐Szmukier Poland
Bérénice Herszberg France
Anne Vaiman France
Jingjing Gu China
Rita G. Fonseca Ireland
Telhisa HASEGAWA Japan
Kei-ichi HIROTA Japan
Matanobu ABE Japan
Misako Hwang United States
Florencia Schlamp United States
Xavier Mata relative to Monika Stefaniuk‐Szmukier Poland Monika Stefaniuk‐Szmukier's profile →
Citations per field
00.5×
Monika Stefaniuk‐Szmukier · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201634
2 201433
3 201431
4 201730
5 201128
6 200925
7 201024
8 200623
9 200822
10 201821
11 201117
12 201415
13 201212
14 201110
15 20028
16 20075
17 20075
18 20004
19 20204
20 20094

About Xavier Mata

Xavier Mata is a scholar working on Molecular Biology, Genetics, Cell Biology, Equine and Cancer Research, having authored 28 papers that have together received 365 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), Veterinary Equine Medical Research (5 papers), Cancer-related molecular mechanisms research (4 papers), Muscle metabolism and nutrition (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Phylogenetic Studies (2 papers), Archaeology and ancient environmental studies (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Equine (72 citations), Cell Biology (88 citations), Rehabilitation (34 citations), Cancer Research (72 citations) and Genetics (111 citations). Xavier Mata has collaborated with scholars based in France, Morocco and Denmark. Frequent co-authors include Éric Barrey, Laurent Schibler, G. Guérin, Anne Vaiman, Stéphane Chaffaux, Núria Mach, Céline Robert, Gérard Guérin, Mohamed N. Triba and Vincent Gerber. Their work appears in journals such as PLoS ONE, Gene, Animal Genetics, BMC Genomics and FEBS Letters.

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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