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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 72 2116 2012 962 902 220 20092

Dan Nettleton publications per year

The chart shows the history of publications by Dan Nettleton between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dan Nettleton published across 28 years, from 1998 to 2025, averaging 9.3 papers a year. Output peaked at 20 publications in 2007. 2 of the 260 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2007. 1998: 2 publications 1999: 3 publications 2000: 2 publications 2001: 2 publications 2002: 5 publications 2003: 4 publications 2004: 9 publications 2005: 9 publications 2006: 17 publications 2007: 20 publications 2008: 10 publications 2009: 20 publications 2010: 14 publications 2011: 19 publications 2012: 17 publications 2013: 7 publications 2014: 14 publications 2015: 18 publications 2016: 13 publications 2017: 15 publications 2018: 9 publications 2019: 9 publications 2020: 7 publications 2021: 3 publications 2022: 3 publications 2023: 7 publications 2024: 1 publication 2025: 1 publication
1998 2025

260 publications in total across all disciplines

View publications per year as a table
Dan Nettleton: publications per year, 1998 to 2025
Year Publications
1998 2
1999 3
2000 2
2001 2
2002 5
2003 4
2004 9
2005 9
2006 17
2007 20
2008 10
2009 20
2010 14
2011 19
2012 17
2013 7
2014 14
2015 18
2016 13
2017 15
2018 9
2019 9
2020 7
2021 3
2022 3
2023 7
2024 1
2025 1
Total 260
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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.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 215–224 publications, is where this scientist sits. 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
45–54 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.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134 220
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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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.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 72–73 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150 72
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
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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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