World's Best Scientists 2026 revealed!
Jean-Pierre Bachellerie

Jean-Pierre Bachellerie

D-Index & Metrics

Genetics

D-Index
58
Citations
12932
World Ranking
3314
National Ranking
162

Jean-Pierre Bachellerie publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Jean-Pierre Bachellerie sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 107 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Jean-Pierre Bachellerie D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Jean-Pierre Bachellerie sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 58 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Jean-Pierre Bachellerie is affiliated with Paul Sabatier University in France. Their professional focus is within academic research, contributing primarily through involvement with this institution.

There are no listed recent papers, co-authors, publication venues, book publications, main fields or subfields of study, or main topics of work available for this scientist. Additionally, there are no recorded awards or distinctions associated with their profile.

Without further detailed bibliographic or research data, the profile highlights the institutional connection and identifies the researcher as active within the academic environment of Paul Sabatier University. This affiliation places them within the broader context of French higher education and research.

Best Publications

  • Site-specific ribose methylation of preribosomal RNA: a novel function for small nucleolar RNAs.

    Zsuzsanna Kiss-László;Yves Henry;Jean-Pierre Bachellerie;Michèle Caizergues-Ferrer

  • Identification of brain-specific and imprinted small nucleolar RNA genes exhibiting an unusual genomic organization.

    Jérôme Cavaillé;Karin Buiting;Martin Kiefmann;Marc Lalande

  • Targeted ribose methylation of RNA in vivo directed by tailored antisense RNA guides

    Jérôme Cavaillé;Monique Nicoloso;Jean-Pierre Bachellerie

  • Identification of 86 candidates for small non-messenger RNAs from the archaeon Archaeoglobus fulgidus

    Thean-Hock Tang;Jean-Pierre Bachellerie;Timofey Rozhdestvensky;Marie-Line Bortolin

  • Imprinted microRNA genes transcribed antisense to a reciprocally imprinted retrotransposon-like gene.

    Hervé Seitz;Neil Youngson;Shau-Ping Lin;Simone Dalbert

  • RNomics: an experimental approach that identifies 201 candidates for novel, small, non-messenger RNAs in mouse

    Alexander Hüttenhofer;Martin Kiefmann;Sebastian Meier‐Ewert;Sebastian Meier‐Ewert;John O'Brien;John O'Brien

  • Intron-encoded, antisense small nucleolar RNAs: The characterization of nine novel species points to their direct role as guides for the 2'-O-ribose methylation of rRNAs

    Monique Nicoloso;Liang-Hu Qu;Bernard Michot;Jean-Pierre Bachellerie

  • Identification of tandemly-repeated C/D snoRNA genes at the imprinted human 14q32 domain reminiscent of those at the Prader–Willi/Angelman syndrome region

    Jérôme Cavaillé;Hervé Seitz;Martina Paulsen;Anne C. Ferguson-Smith

  • Antisense snoRNAs: a family of nucleolar RNAs with long complementarities to rRNA.

    Jean-Pierre Bachellerie;Bernard Michot;Monique Nicoloso;Andrey Balakin

  • Identification of novel non-coding RNAs as potential antisense regulators in the archaeon Sulfolobus solfataricus

    Thean-Hock Tang;Norbert Polacek;Marek Zywicki;Marek Zywicki;Harald Huber

  • Binding of L7Ae protein to the K-turn of archaeal snoRNAs: a shared RNA binding motif for C/D and H/ACA box snoRNAs in Archaea

    Timofey S. Rozhdestvensky;Thean Hock Tang;Inna V. Tchirkova;Jürgen Brosius

  • Guiding ribose methylation of rRNA

    Jean-Pierre Bachellerie;Jérôme Cavaillé

  • Improved methods for structure probing in large RNAs: a rapid 'heterologous' sequencing approach is coupled to the direct mapping of nuclease accessible sites. Application to the 5' terminal domain of eukaryotic 28S rRNA.

    Liang Hu Qu;Bernard Michot;Jean-Pierre Bachellerie

  • Archaeal homologs of eukaryotic methylation guide small nucleolar RNAs: lessons from the Pyrococcus genomes.

    Christine Gaspin;Jérome Cavaillé;Gael Erauso;Jean-Pierre Bachellerie

  • Complete nucleotide sequence of mouse 18 S rRNA gene: comparison with other available homologs

    Françoise Raynal;Bernard Michot;Jean-Pierre Bachellerie

  • Transcription of mouse rDNA terminates downstream of the 3′ end of 28S RNA and involves interaction of factors with repeated sequences in the 3′ spacer

    Ingrid Grummt;Ursula Maier;Andrea Öhrlein;Nasser Hassouna

  • Seven Novel Methylation Guide Small Nucleolar RNAs Are Processed from a Common Polycistronic Transcript by Rat1p and RNase III in Yeast

    Liang-Hu Qu;Anthony Henras;Yong-Jun Lu;Hui Zhou

  • Secondary structure of mouse 28S rRNA and general model for the folding of the large rRNA in eukaryotes

    B. Michot;N. Hassouna;Jean-Pierre Bachellerie

  • Experimental RNomics: identification of 140 candidates for small non-messenger RNAs in the plant Arabidopsis thaliana.

    Claudia Marker;Anja Zemann;Tanja Terhörst;Martin Kiefmann

  • Partial phylogeny of the unicellular eukaryotes based on rapid sequencing of a portion of 28S ribosomal RNA

    Anne Baroin;Roland Perasso;Liang-Hu Qu;Guy Brugerolle

Frequent Co-Authors

Liang-Hu Qu
Liang-Hu Qu Sun Yat-sen University
Jürgen Brosius
Jürgen Brosius University of Münster
Michèle Caizergues-Ferrer
Michèle Caizergues-Ferrer Centre national de la recherche scientifique, CNRS
Bernard Ehresmann
Bernard Ehresmann Centre national de la recherche scientifique, CNRS
François Amalric
François Amalric Centre national de la recherche scientifique, CNRS
John T. O'Brien
John T. O'Brien University of Cambridge
Harald Huber
Harald Huber University of Regensburg
Michel Caboche
Michel Caboche INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Pamela J. Green
Pamela J. Green University of Delaware
Anne C. Ferguson-Smith
Anne C. Ferguson-Smith University of Cambridge

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