World's Best Scientists 2026 revealed!
Jean Beaulieu

Jean Beaulieu

D-Index & Metrics

Biology and Biochemistry

D-Index
46
Citations
7386
World Ranking
18958
National Ranking
663

Jean Beaulieu publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Jean Beaulieu sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Jean Beaulieu D-index placement in Biology and Biochemistry in 2026

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

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 46 D-Index — 4th percentile

4% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Jean Beaulieu is affiliated with Université Laval in Canada and has contributed extensively to research in environmental science, with a particular focus on forest ecology and management. Their work bridges genetics, plant science, and agronomy, addressing both theoretical and practical aspects of forest and crop systems.

Their main fields of study include Environmental Science and Biochemistry, Genetics and Molecular Biology. Within these broad fields, they have contributed notably to subfields such as Nature and Landscape Conservation, Genetics, Agronomy and Crop Science, Global and Planetary Change, and Plant Science.

The primary research topics covered by their work include:

  • Forest ecology and management
  • Bioenergy crop production and management
  • Genetic and phenotypic traits in livestock
  • Genetic Mapping and Diversity in Plants and Animals
  • Forest Management and Policy
  • Genetics and Plant Breeding
  • Ecology and Vegetation Dynamics Studies

Jean Beaulieu's research has been published in several venues, with multiple contributions to:

  • Evolutionary Applications
  • Heredity
  • Tree Genetics & Genomes
  • Frontiers in Plant Science
  • Scientific Reports

Selected recent papers include:

  • Genomic prediction for hastening and improving efficiency of forward selection in conifer polycross mating designs: an example from white spruce (2020, Heredity)
  • Breeding for adaptation to climate change: genomic selection for drought response in a white spruce multi-site polycross test (2022, Evolutionary Applications)
  • Genomic selection for resistance to spruce budworm in white spruce and relationships with growth and wood quality traits (2020, Evolutionary Applications)
  • Conventional versus genomic selection for white spruce improvement: a comparison of costs and benefits of plantations on Quebec public lands (2020, Tree Genetics & Genomes)
  • Metadata analysis indicates biased estimation of genetic parameters and gains using conventional pedigree information instead of genomic-based approaches in tree breeding (2022, Scientific Reports)

Their frequent co-authors feature researchers such as P. Lenz, Jean Bousquet, Simon Nadeau, Martin Perron, and Jean-Philippe Laverdière, demonstrating collaboration across multiple publications.

Best Publications

  • Spline models of contemporary, 2030, 2060 and 2090 climates for Mexico and their use in understanding climate-change impacts on the vegetation.

    Cuauhtémoc Sáenz-Romero;Gerald E. Rehfeldt;Nicholas L. Crookston;Pierre Duval

  • Placing Forestry in the Assisted Migration Debate

    John H. Pedlar;Daniel W. McKenney;Isabelle Aubin;Tannis Beardmore

  • Scanning the genome for gene single nucleotide polymorphisms involved in adaptive population differentiation in white spruce.

    Marie-Claire Namroud;Jean Beaulieu;Jean Beaulieu;Nicolas Juge;Jérôme Laroche

  • Complete congruence between gene diversity estimates derived from genotypic data at enzyme and random amplified polymorphic DNA loci in black spruce

    Nathalie Isabel;Jean Beaulieu;Jean Bousquet

  • Glacial vicariance in Eurasia: mitochondrial DNA evidence from Scots pine for a complex heritage involving genetically distinct refugia at mid-northern latitudes and in Asia Minor

    Krassimir Naydenov;Sauphie Senneville;Jean Beaulieu;Jean Beaulieu;Francine Tremblay

  • A mitochondrial DNA minisatellite reveals the postglacial history of jack pine (Pinus banksiana), a broad-range North American conifer.

    Julie Godbout;Juan P. Jaramillo-Correa;Jean Beaulieu;Jean Beaulieu;Jean Bousquet

  • Variation in mitochondrial DNA reveals multiple distant glacial refugia in black spruce (Picea mariana), a transcontinental North American conifer.

    Juan P. Jaramillo-Correa;Jean Beaulieu;Jean Beaulieu;Jean Bousquet

  • The impact of climate change on growth of local white spruce populations in Québec, Canada

    Christophe Andalo;Christophe Andalo;Christophe Andalo;Jean Beaulieu;Jean Bousquet

  • Accuracy of genomic selection models in a large population of open-pollinated families in white spruce.

    J Beaulieu;J Beaulieu;T Doerksen;T Doerksen;S Clément;J MacKay

  • Association Genetics of Wood Physical Traits in the Conifer White Spruce and Relationships With Gene Expression

    Jean Beaulieu;Jean Beaulieu;Trevor Doerksen;Trevor Doerksen;Brian Boyle;Sébastien Clément

  • Inferring the past from the present phylogeographic structure of North American forest trees : seeing the forest for the genes

    Juan P. Jaramillo-CorreaJ.P. Jaramillo-Correa;Juan P. Jaramillo-CorreaJ.P. Jaramillo-Correa;Jean BeaulieuJ. Beaulieu;Jean BeaulieuJ. Beaulieu;Damase P. KhasaD.P. Khasa;Damase P. KhasaD.P. Khasa;Jean BousquetJ. Bousquet;Jean BousquetJ. Bousquet

  • Scanning the genome for gene SNPs related to climate adaptation and estimating selection at the molecular level in boreal black spruce.

    Julien Prunier;Jérôme Laroche;Jean Beaulieu;Jean Beaulieu;Jean Bousquet

  • Contrasting evolutionary forces driving population structure at expressed sequence tag polymorphisms, allozymes and quantitative traits in white spruce

    J. P. Jaramillo-Correa;J. Beaulieu;J. Beaulieu;J. Bousquet

  • Direct evidence for biased gene diversity estimates from dominant random amplified polymorphic DNA (RAPD) fingerprints

    Nathalie Isabel;Jean Beaulieu;Philippe Thériault;Jean Bousquet

  • Genomic selection accuracies within and between environments and small breeding groups in white spruce.

    Jean Beaulieu;Jean Beaulieu;Trevor K Doerksen;Trevor K Doerksen;John MacKay;André Rainville

  • Factors affecting the accuracy of genomic selection for growth and wood quality traits in an advanced-breeding population of black spruce (Picea mariana)

    Patrick R.N. Lenz;Patrick R.N. Lenz;Jean Beaulieu;Jean Beaulieu;Shawn D. Mansfield;Sébastien Clément

  • Decoupled mitochondrial and chloroplast DNA population structure reveals Holocene collapse and population isolation in a threatened Mexican‐endemic conifer

    Juan P. Jaramillo-Correa;Jean Beaulieu;Jean Beaulieu;F. Thomas Ledig;Jean Bousquet

  • Genetic structure and patterns of genetic variation among populations in eastern white spruce (Picea glauca)

    Peng Li;Jean Beaulieu;Jean Bousquet

  • Genetic variation in juvenile growth and phenology of white spruce provenance-progeny test.

    P. Li;J. Beaulieu;A. Corriveau;J. Bousquet

  • Nucleofection of muscle-derived stem cells and myoblasts with ϕC31 integrase: stable expression of a full-length-dystrophin fusion gene by human myoblasts

    Simon P. Quenneville;Pierre Chapdelaine;Joël Rousseau;Jean Beaulieu

Frequent Co-Authors

Jean Bousquet
Jean Bousquet Université Laval
Hank A. Margolis
Hank A. Margolis National Aeronautics and Space Administration
John MacKay
John MacKay University of Oxford
Gerald E. Rehfeldt
Gerald E. Rehfeldt US Forest Service
David Paré
David Paré Natural Resources Canada
Martin P. Girardin
Martin P. Girardin Natural Resources Canada
Michel Labrecque
Michel Labrecque University of Montreal
Andrew M. Gordon
Andrew M. Gordon University of Guelph
Jacques Régnière
Jacques Régnière Natural Resources Canada
Janice E. K. Cooke
Janice E. K. Cooke University of Alberta

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