Xavier Tordoir

2.3k citations
26 papers · 1.9k indexed · 1 hit paper · h-index 16

Xavier Tordoir

26 papers receiving 1.8k citations

Hit Papers

A mutation creating a potential illegitimate microRNA tar...1.0k20062026201220192505007501000

Peers

Xavier Tordoir
Comparison fields: 5 of 90
  • Cancer Research 564
  • Genetics 605
  • Molecular Biology 1.1k
  • Aging 21
  • Atomic and Molecular Physics, and Optics 349
Replace Mikhail Pachkov with:
Mikhail Pachkov Switzerland
John D. Watson Canada
Paul Mak United States
László Nyitray Hungary
Hiroshi Matsumoto Japan
A.E. Greene United States
Jens Kleinjung United Kingdom
Weihong Zheng China
Masahiko Harata Japan
Claude Roustan France
Xavier Tordoir relative to Mikhail Pachkov Switzerland Mikhail Pachkov's profile →
Citations per field
00.5×2.9×
Mikhail Pachkov · 1×
Citations per year

Countries citing papers authored by Xavier Tordoir

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Tordoir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201313
2 200956
3 200725
4 200641
5
A mutation creating a potential illegitimate microRNA target site in the myostatin gene affects muscularity in sheepbreakdown →
20061016
6 200640
7 2005261
8 200514
9 200514
10 200412
11 200236
12 20018
13 20013
14 200012
15 200027
16 200026
17 199963
18 199917
19 199928
20 199814

About Xavier Tordoir

Xavier Tordoir is a scholar working on Spectroscopy, Atomic and Molecular Physics, and Optics and Genetics, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Atomic and Molecular Physics (14 papers), Mass Spectrometry Techniques and Applications (12 papers), Advanced Chemical Physics Studies (6 papers), Genetic Syndromes and Imprinting (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Ion-surface interactions and analysis (2 papers). The work is most often cited by research in Cancer Research (564 citations), Genetics (605 citations) and Molecular Biology (1.1k citations). Xavier Tordoir has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Michel Georges, Carole Charlier, Florian Caiment, Haruko Takeda, Dimitri Pirottin, Bernard B. Bibé, Élisabeth Laville, Catherine Larzul, James F. Tobin and Francis Eychenne. Their work appears in journals such as Journal of Physics B Atomic Molecular and Optical Physics, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Physical Review A, The European Physical Journal D and Current Biology.

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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