World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
52
Citations
10424
World Ranking
1902
National Ranking
505

Phillip N. Miklas publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where Phillip N. Miklas sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 192 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

Phillip N. Miklas D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where Phillip N. Miklas sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 52 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

Research.com Recognitions

  • 2005 - Fellow of the American Society of Agronomy (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Botany

His primary areas of study are Genetics, Quantitative trait locus, RAPD, Phaseolus and Plant disease resistance. His Genetics study frequently draws connections between adjacent fields such as Gene pool. As part of his studies on Quantitative trait locus, Phillip N. Miklas often connects relevant areas like Horticulture.

The various areas that Phillip N. Miklas examines in his RAPD study include Polymerase chain reaction and Major gene. His Phaseolus research is multidisciplinary, incorporating elements of Domestication and Cultivar. His Plant disease resistance research is multidisciplinary, relying on both Sclerotinia sclerotiorum, Agronomy, Marker-assisted selection and Gene mapping.

His most cited work include:

  • A reference genome for common bean and genome-wide analysis of dual domestications (689 citations)
  • Common bean breeding for resistance against biotic and abiotic stresses: From classical to MAS breeding (390 citations)
  • Tagging and mapping of genes and QTL and molecular marker-assisted selection for traits of economic importance in bean and cowpea (226 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Phaseolus, Genetics, Plant disease resistance, Horticulture and Botany. Phillip N. Miklas works mostly in the field of Phaseolus, limiting it down to concerns involving Sclerotinia sclerotiorum and, occasionally, White and Sclerotinia. As a part of the same scientific family, he mostly works in the field of Genetics, focusing on RAPD and, on occasion, Gene pool.

As part of one scientific family, Phillip N. Miklas deals mainly with the area of Plant disease resistance, narrowing it down to issues related to the Uromyces appendiculatus, and often Bean common mosaic virus. In general Horticulture, his work in Cultivar and Pinto bean is often linked to Coat linking many areas of study. His work on Germplasm and Tepary Bean is typically connected to West indies as part of general Botany study, connecting several disciplines of science.

He most often published in these fields:

  • Phaseolus (37.82%)
  • Genetics (37.18%)
  • Plant disease resistance (28.85%)

What were the highlights of his more recent work (between 2015-2021)?

  • Phaseolus (37.82%)
  • Genetics (37.18%)
  • Horticulture (26.92%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Phaseolus, Genetics, Horticulture, Agronomy and Candidate gene. His study in Quantitative trait locus, Gene and Plant disease resistance falls within the category of Genetics. His Quantitative trait locus research is multidisciplinary, incorporating perspectives in Resistance, Bulked segregant analysis, Genetic linkage, Dormancy and White.

His Plant disease resistance study combines topics from a wide range of disciplines, such as Plant breeding, RAPD, Genotype and Backcrossing. His work in the fields of Horticulture, such as Cultivar and Cayenne, intersects with other areas such as Quality characteristics, Red bean and Correlation coefficient. His study in Agronomy is interdisciplinary in nature, drawing from both Canopy and Abiotic stress.

Between 2015 and 2021, his most popular works were:

  • Genome-Wide Association Study Identifies Candidate Loci Underlying Agronomic Traits in a Middle American Diversity Panel of Common Bean. (71 citations)
  • Meta-QTL for resistance to white mold in common bean. (25 citations)
  • Single and Multi-trait GWAS Identify Genetic Factors Associated with Production Traits in Common Bean Under Abiotic Stress Environments. (22 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Genetics
  • Botany

The scientist’s investigation covers issues in Agronomy, Genetics, Quantitative trait locus, Candidate gene and Genome-wide association study. Phillip N. Miklas has included themes like Canopy and Botany in his Agronomy study. His work on Genetics is being expanded to include thematically relevant topics such as Race.

His Quantitative trait locus research incorporates elements of Phaseolus and Sclerotinia sclerotiorum. His Phaseolus study results in a more complete grasp of Horticulture. In his research on the topic of Genetic marker, Cultivar is strongly related with Gene pool.

Best Publications

  • A reference genome for common bean and genome-wide analysis of dual domestications

    Jeremy Schmutz;Phillip E McClean;Sujan Mamidi;G Albert Wu

  • Common bean breeding for resistance against biotic and abiotic stresses: From classical to MAS breeding

    Phillip N. Miklas;James D. Kelly;Steve E. Beebe;Matthew W. Blair

  • Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

    Sindhuja Sankaran;Lav R. Khot;Carlos Zúñiga Espinoza;Sanaz Jarolmasjed

  • Tagging and mapping of genes and QTL and molecular marker-assisted selection for traits of economic importance in bean and cowpea

    J.D. Kelly;P. Gepts;P.N. Miklas;D.P. Coyne

  • Identification of RAPD markers linked to a major rust resistance gene block in common bean.

    S. D. Haley;P. N. Miklas;J. R. Stavely;J. Byrum

  • Genomics of Phaseolus Beans, a Major Source of Dietary Protein and Micronutrients in the Tropics

    Paul Gepts;Francisco J.L. Aragão;Everaldo de Barros;Matthew W. Blair

  • Identification and potential use of a molecular marker for rust resistance in common bean.

    P. N. Miklas;J. R. Stavely;J. D. Kelly

  • A Phaseolus vulgaris Diversity Panel for Andean Bean Improvement

    Karen A. Cichy;Karen A. Cichy;Timothy G. Porch;James S. Beaver;Perry Cregan

  • QTL Conditioning Physiological Resistance and Avoidance to White Mold in Dry Bean

    Phillip N. Miklas;William C. Johnson;Richard Delorme;Paul Gepts

  • The role of RAPD markers in breeding for disease resistance in common bean

    James D. Kelly;Phillip N. Miklas

  • Genome-Wide Association Study Identifies Candidate Loci Underlying Agronomic Traits in a Middle American Diversity Panel of Common Bean.

    Samira Mafi Moghaddam;Sujan Mamidi;Juan M. Osorno;Rian Lee

  • Coupling- and repulsion-phase RAPDs for marker-assisted selection of PI 181996 rust resistance in common bean.

    E. Johnson;P. N. Miklas;J. R. Stavely;J. C. Martinez-Cruzado

  • Bacterial, Fungal, and Viral Disease Resistance Loci Mapped in a Recombinant Inbred Common Bean Population (`Dorado'/XAN 176)

    Phillip N. Miklas;Richard Delorme;Valerie Stone;Mark J. Daly

  • Selective mapping of QTL conditioning disease resistance in common bean.

    Phillip N. Miklas;Elizabeth Johnson;Valerie Stone;James S. Beaver

  • A major QTL for common bacterial blight resistance derives from the common bean great northern landrace cultivar Montana No.5

    Phillip N. Miklas;Dermot P. Coyne;Kenneth F. Grafton;Nedim Mutlu

  • Potential marker-assisted selection for bc-1 2 resistance to bean common mosaic potyvirus in common bean

    Phillip N. Miklas;Richard C. Larsen;Ronald Riley;James D. Kelly

  • Characterization of white mold disease avoidance in common bean

    Phillip N. Miklas;Lyndon D. Porter;James D. Kelly;James R. Myers

  • Random Amplified Polymorphic DNA (RAPD) Marker Variability between and within Gene Pools of Common Bean

    Scott D. Haley;Phillip N. Miklas;Lucia Afanador;James D. Kelly

  • Heterogeneous inbred populations are useful as sources of near-isogenic lines for RAPD marker localization.

    S. D. Haley;L. K. Afanador;P. N. Miklas;J. R. Stavely

  • Backcross breeding for improved resistance to common bacterial blight in pinto bean (Phaseolus vulgaris L.)

    Nedim Mutlu;P. Miklas;J. Reiser;D. Coyne

  • Potential Application of TRAP (Targeted Region Amplified Polymorphism) Markers for Mapping and Tagging Disease Resistance Traits in Common Bean

    Phillip N. Miklas;Jinguo Hu;Niklaus J. Grünwald;Karen M. Larsen

  • Identification of QTL Conditioning Resistance to White Mold in Snap Bean

    Phillip N. Miklas;Richard Delorme;Ron Riley

Frequent Co-Authors

James D. Kelly
James D. Kelly Michigan State University
James S. Beaver
James S. Beaver University of Puerto Rico
Phillip E. McClean
Phillip E. McClean North Dakota State University
Shree P. Singh
Shree P. Singh University of Idaho
James R. Steadman
James R. Steadman University of Nebraska–Lincoln
Dermot P. Coyne
Dermot P. Coyne University of Nebraska–Lincoln
Karen A. Cichy
Karen A. Cichy Agricultural Research Service
Matthew W. Blair
Matthew W. Blair Tennessee State University
Howard F. Schwartz
Howard F. Schwartz Colorado State University
Perry B. Cregan
Perry B. Cregan United States Department of Agriculture

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