World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
72
Citations
20092
World Ranking
2116
National Ranking
962

Dan Nettleton 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 Dan Nettleton 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: 220 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Dan Nettleton 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 Dan Nettleton 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: 72 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - Fellow of the American Statistical Association (ASA)

Overview

Dan Nettleton is affiliated with Iowa State University in the United States. Their research spans several primary fields including Biochemistry, Genetics and Molecular Biology, and Agricultural and Biological Sciences. The scientist's work delves into subfields such as Plant Science, Molecular Biology, Artificial Intelligence, Genetics, and Ecology.

Their studies cover a range of topics including:

  • Gene expression and cancer classification
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetics and Plant Breeding
  • Genetic and phenotypic traits in livestock
  • Smart Agriculture and AI
  • Remote Sensing in Agriculture
  • Molecular Biology Techniques and Applications

Several recent papers authored or co-authored by Dan Nettleton are as follows:

  • Single-parent expression complementation contributes to phenotypic heterosis in maize hybrids, 2022, PLANT PHYSIOLOGY
  • Tree aggregation for random forest class probability estimation, 2020, Statistical Analysis and Data Mining The ASA Data Science Journal
  • High-Throughput Field Plant Phenotyping: A Self-Supervised Sequential CNN Method to Segment Overlapping Plants, 2023, Plant Phenomics
  • Adjusting for Spatial Effects in Genomic Prediction, 2020, Journal of Agricultural Biological and Environmental Statistics
  • Light cues induce protective anticipation of environmental water loss in terrestrial bacteria, 2023, Proceedings of the National Academy of Sciences

Nettleton frequently collaborates with several researchers, including:

  • Xingche Guo
  • Yumou Qiu
  • Patrick S. Schnable
  • Meiling Liu
  • Andrew J. Sage

The scientist's work is often published in several recurrent venues, notably:

  • Journal of Agricultural Biological and Environmental Statistics
  • arXiv (Cornell University)
  • Plant Phenomics
  • Bioinformatics
  • PLANT PHYSIOLOGY

Dan Nettleton was recognized as a Fellow of the American Statistical Association in 2008. This distinction aligns with their contributions in statistical and biological research contexts.

Best Publications

  • The B73 Maize Genome: Complexity, Diversity, and Dynamics

    Patrick S. Schnable;Doreen Ware;Robert S. Fulton;Joshua C. Stein

  • Agrobacterium tumefaciens-Mediated Transformation of Maize Embryos Using a Standard Binary Vector System

    Bronwyn R. Frame;Huixia Shou;Rachel K. Chikwamba;Zhanyuan Zhang

  • Maize Inbreds Exhibit High Levels of Copy Number Variation (CNV) and Presence/Absence Variation (PAV) in Genome Content

    Nathan M. Springer;Kai Ying;Yan-Yan Fu;Tieming Ji

  • All possible modes of gene action are observed in a global comparison of gene expression in a maize F1 hybrid and its inbred parents

    Ruth A. Swanson-Wagner;Yi Jia;Rhonda DeCook;Lisa A. Borsuk

  • Gene mapping via bulked segregant RNA-Seq (BSR-Seq).

    Sanzhen Liu;Cheng-Ting Yeh;Ho Man Tang;Dan Nettleton

  • Mining MEDLINE: abstracts, sentences, or phrases?

    Jing Ding;Daniel Berleant;Dan Nettleton;Eve Syrkin Wurtele

  • Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates

    Steven P. Lund;Dan Nettleton;Davis J. McCarthy;Gordon K. Smyth

  • Developmental transcript profiling of cyst nematode feeding cells in soybean roots.

    Nagabhushana Ithal;Justin Recknor;Dan Nettleton;Tom Maier

  • Gene Expression Programs during Shoot, Root and Callus Development in Arabidopsis Tissue Culture

    Ping Che;Sonia Lall;Dan Nettleton;Stephen H. Howell

  • Duplicate gene expression in allopolyploid Gossypium reveals two temporally distinct phases of expression evolution

    Lex E. Flagel;Joshua A. Udall;Dan Nettleton;Jonathan F. Wendel

  • Roles of the HIF-1 Hypoxia-inducible Factor during Hypoxia Response in Caenorhabditis elegans

    Chuan Shen;Daniel Nettleton;Min Jiang;Stuart K. Kim

  • Parallel Genome-Wide Expression Profiling of Host and Pathogen During Soybean Cyst Nematode Infection of Soybean

    Nagabhushana Ithal;Justin Recknor;Dan Nettleton;Leonard Hearne

  • Interaction-Dependent Gene Expression in Mla-Specified Response to Barley Powdery Mildew

    Rico A. Caldo;Dan Nettleton;Roger P. Wise;Roger P. Wise

  • The Arabidopsis microRNA396-GRF1/GRF3 regulatory module acts as a developmental regulator in the reprogramming of root cells during cyst nematode infection.

    Tarek Hewezi;Tom R. Maier;Dan Nettleton;Thomas J. Baum

  • Arabidopsis gene expression changes during cyst nematode parasitism revealed by statistical analyses of microarray expression profiles

    David P. Puthoff;Dan Nettleton;Steven R. Rodermel;Thomas J. Baum

  • Mu transposon insertion sites and meiotic recombination events co-localize with epigenetic marks for open chromatin across the maize genome.

    Sanzhen Liu;Cheng-Ting Yeh;Tieming Ji;Kai Ying

  • Transcriptional responses of Pseudomonas syringae to growth in epiphytic versus apoplastic leaf sites

    Xilan Yu;Steven P. Lund;Russell A. Scott;Jessica W. Greenwald

  • Isolation, characterization, and pericycle-specific transcriptome analyses of the novel maize lateral and seminal root initiation mutant rum1.

    Katrin Woll;Lisa A. Borsuk;Harald Stransky;Dan Nettleton

  • Host-induced gene silencing in barley powdery mildew reveals a class of ribonuclease-like effectors.

    Clara Pliego;Daniela Nowara;Giulia Bonciani;Dana M. Gheorghe

  • Genetic regulation of gene expression during shoot development in Arabidopsis.

    Rhonda DeCook;Sonia Lall;Dan Nettleton;Stephen H. Howell

Frequent Co-Authors

Jack C. M. Dekkers
Jack C. M. Dekkers Iowa State University
Patrick S. Schnable
Patrick S. Schnable Iowa State University
Christopher K. Tuggle
Christopher K. Tuggle Iowa State University
Roger P. Wise
Roger P. Wise Agricultural Research Service
Michael J. Scanlon
Michael J. Scanlon Cornell University
Frank Hochholdinger
Frank Hochholdinger University of Bonn
Thomas J. Baum
Thomas J. Baum Iowa State University
Eve Syrkin Wurtele
Eve Syrkin Wurtele Iowa State University
Steven A. Whitham
Steven A. Whitham Iowa State University
Steven M. Lonergan
Steven M. Lonergan Iowa State University

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