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D-Index & Metrics

Biology and Biochemistry

D-Index
59
Citations
12921
World Ranking
12501
National Ranking
321

Fred A. van Eeuwijk 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 Fred A. van Eeuwijk 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: 180 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Fred A. van Eeuwijk 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 Fred A. van Eeuwijk 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: 59 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Overview

Fred A. van Eeuwijk is affiliated with Wageningen University & Research in the Netherlands. Their research primarily spans the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology, with significant contributions in Plant Science, Genetics, and Molecular Biology.

Their scientific output emphasizes genetic mapping, diversity, and plant breeding, as well as molecular investigations related to plant traits and disease resistance. They have a notable focus on topics such as Genetic Mapping and Diversity in Plants and Animals, Genetics and Plant Breeding, and Genetic and Phenotypic Traits in Livestock. Other research interests include Greenhouse Technology and Climate Control, Plant Pathogens and Resistance, Plant Disease Resistance and Genetics, and Wheat and Barley Genetics and Pathology.

Fred van Eeuwijk has published numerous articles in a variety of peer-reviewed journals. Frequent venues for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Theoretical and Applied Genetics
  • Nature Plants
  • The Plant Journal
  • Frontiers in Plant Science

Recent papers authored or co-authored by van Eeuwijk feature topics from adaptive traits in maize to flavor genetics in tomato, showcasing a broad palette of research interests:

  • Physiological adaptive traits are a potential allele reservoir for maize genetic progress under challenging conditions, 2022, Nature Communications
  • Reciprocal cybrids reveal how organellar genomes affect plant phenotypes, 2020, Nature Plants
  • The genetic and functional analysis of flavor in commercial tomato: the FLORAL4 gene underlies a QTL for floral aroma volatiles in tomato fruit, 2020, The Plant Journal
  • A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data, 2022, Scientific Reports
  • Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato, 2021, Frontiers in Plant Science

Throughout their career, van Eeuwijk has collaborated with various frequent co-authors contributing to a collaborative research environment. Notable frequent co-authors include:

  • Martin P. Boer
  • Chaozhi Zheng
  • Willem Kruijer
  • Frank Becker
  • Carel F.W. Peeters

Best Publications

  • Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars.

    Arnold T. W. Kraakman;Rients E. Niks;Petra M. M. M. Van den Berg;Piet Stam

  • The statistical analysis of multi-environment data: Modeling genotype-by-environment interaction and its genetic basis

    Marcos Malosetti;Jean Marcel Ribaut;Fred A. van Eeuwijk

  • Models for navigating biological complexity in breeding improved crop plants

    Graeme Hammer;Mark Cooper;François Tardieu;Stephen Welch

  • Genome-wide association studies for agronomical traits in a world wide spring barley collection.

    Raj K Pasam;Rajiv Sharma;Marcos Malosetti;Fred A van Eeuwijk

  • Correcting for spatial heterogeneity in plant breeding experiments with P-splines

    María Xosé Rodríguez-Álvarez;María Xosé Rodríguez-Álvarez;Martin P. Boer;Fred A. van Eeuwijk;Paul H.C. Eilers

  • Tracing the ancestry of modern bread wheats

    Caroline Pont;Thibault Leroy;Thibault Leroy;Michael Seidel;Alessandro Tondelli

  • What should students in plant breeding know about the statistical aspects of genotype × Environment interactions?

    Fred A. van Eeuwijk;Daniela V. Bustos-Korts;Marcos Malosetti

  • Genomic prediction of maize yield across European environmental conditions

    Emilie J. Millet;Willem Kruijer;Aude Coupel-Ledru;Aude Coupel-Ledru;Santiago Alvarez Prado;Santiago Alvarez Prado

  • Natural variation for seed dormancy in Arabidopsis is regulated by additive genetic and molecular pathways

    Leónie Bentsink;Johannes Hanson;Corrie J. Hanhart;Hetty Blankestijn-de Vries

  • Evaluation of LD decay and various LD-decay estimators in simulated and SNP-array data of tetraploid potato

    Peter G. Vos;M. João Paulo;Roeland E. Voorrips;Richard G. F. Visser

  • A Mixed-Model Quantitative Trait Loci (QTL) Analysis for Multiple-Environment Trial Data Using Environmental Covariables for QTL-by-Environment Interactions, with an Example in Maize

    Martin P Boer;Deanne Wright;Lizhi Feng;Dean W Podlich

  • Root phenotyping: from component trait in the lab to breeding

    René C.P. Kuijken;Fred. A. van Eeuwijk;Leo F.M. Marcelis;Harro J. Bouwmeester

  • Modeling QTL for complex traits: detection and context for plant breeding.

    Mark Cooper;Fred A van Eeuwijk;Graeme L Hammer;Dean W Podlich

  • Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

    Fred A. van Eeuwijk;Daniela Bustos-Korts;Emilie J. Millet;Martin P. Boer

  • Multi-environment QTL mixed models for drought stress adaptation in wheat.

    Ky L. Mathews;Marcos Malosetti;Scott Chapman;Lynne McIntyre

  • Detection and use of QTL for complex traits in multiple environments

    Fred A van Eeuwijk;Marco C A M Bink;Karine Chenu;Scott C Chapman

  • Marker-based estimation of heritability in immortal populations.

    Willem Kruijer;Martin P. Boer;Marcos Malosetti;Pádraic J. Flood

  • A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.)

    Marcos Malosetti;Jean Marcel Ribaut;Mateo Vargas;José Crossa

  • Improved batch correction in untargeted MS-based metabolomics

    Ron Wehrens;Jos. A. Hageman;Fred van Eeuwijk;Rik Kooke

  • Genetic architecture of plant stress resistance: multi‐trait genome‐wide association mapping

    Manus P M Thoen;Nelson H. Davila Olivas;Karen J. Kloth;Silvia Coolen

Frequent Co-Authors

Joost J. B. Keurentjes
Joost J. B. Keurentjes Wageningen University & Research
Scott C. Chapman
Scott C. Chapman University of Queensland
Maarten Koornneef
Maarten Koornneef Max Planck Institute for Plant Breeding Research
Richard G. F. Visser
Richard G. F. Visser Wageningen University & Research
Emma S. Mace
Emma S. Mace University of Queensland
Arnaud G. Bovy
Arnaud G. Bovy Wageningen University & Research
David R. Jordan
David R. Jordan University of Queensland
Roel F. Veerkamp
Roel F. Veerkamp Wageningen University & Research
Mark G. M. Aarts
Mark G. M. Aarts Wageningen University & Research
Herman J. van Eck
Herman J. van Eck Wageningen University & Research

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