World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
33
Citations
4083
World Ranking
5696
National Ranking
341

Martin M. Vila-Aiub 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 Martin M. Vila-Aiub 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: 56 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Martin M. Vila-Aiub 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 Martin M. Vila-Aiub 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: 33 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Ecology
  • Genetics

Martin M. Vila-Aiub spends much of his time researching Resistance, Botany, Lolium rigidum, Genetics and Weed. His Resistance study combines topics in areas such as Glycine, Chromosomal translocation, Biotechnology, Evolutionary dynamics and Herbicide resistance. The various areas that Martin M. Vila-Aiub examines in his Herbicide resistance study include Perennial plant, Allele and Adaptive value.

His Botany research integrates issues from Pesticide resistance and Gene. He studies Genetics, focusing on Pleiotropy in particular. His Weed study frequently draws connections to adjacent fields such as Weed control.

His most cited work include:

  • Fitness costs associated with evolved herbicide resistance alleles in plants. (231 citations)
  • Fitness costs associated with evolved herbicide resistance alleles in plants. (231 citations)
  • Evolutionary-thinking in agricultural weed management. (177 citations)

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

His scientific interests lie mostly in Resistance, Weed, Glyphosate, Agronomy and Genetics. The concepts of his Resistance study are interwoven with issues in Evolutionary dynamics, Agriculture, Biotechnology and Herbicide resistance. His studies in Biotechnology integrate themes in fields like Genetic Fitness and Adaptive value.

His work deals with themes such as Weed control and Competition, which intersect with Weed. In general Glyphosate, his work in Amaranthus palmeri is often linked to Lethal dose linking many areas of study. His work on Lolium rigidum as part of general Botany study is frequently linked to Relative growth rate, therefore connecting diverse disciplines of science.

He most often published in these fields:

  • Resistance (76.67%)
  • Weed (65.00%)
  • Glyphosate (73.33%)

What were the highlights of his more recent work (between 2017-2021)?

  • Glyphosate (73.33%)
  • Genetics (55.00%)
  • Resistance (76.67%)

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

Martin M. Vila-Aiub mostly deals with Glyphosate, Genetics, Resistance, Weed and Fitness cost. Martin M. Vila-Aiub combines subjects such as Zoology, Echinochloa, Ecology and Chromosomal translocation with his study of Glyphosate. His Echinochloa research is multidisciplinary, incorporating perspectives in Phenotype, Gene, Genetic variation, Germination and Pesticide resistance.

His Resistance study frequently links to other fields, such as Amaranthus palmeri. The Weed study combines topics in areas such as Weed control and Competition. His study in Fitness cost is interdisciplinary in nature, drawing from both Adaptation, Agriculture, Agroecology and Biotechnology.

Between 2017 and 2021, his most popular works were:

  • The power and potential of genomics in weed biology and management (31 citations)
  • Do plants pay a fitness cost to be resistant to glyphosate (21 citations)
  • Do plants pay a fitness cost to be resistant to glyphosate (21 citations)

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

  • Gene
  • Ecology
  • Genetics

Martin M. Vila-Aiub focuses on Weed, Genetics, Fitness cost, Cost prediction and Adaptation. His multidisciplinary approach integrates Weed and Environmental planning in his work. His Environmental planning studies intersect with other disciplines such as Herbicide resistance, Identification, Genomics, Weed science and Weed control.

While working on this project, Martin M. Vila-Aiub studies both Herbicide resistance and Research groups. In most of his Genetics studies, his work intersects topics such as Glyphosate.

Best Publications

  • Fitness costs associated with evolved herbicide resistance alleles in plants.

    Martin M. Vila‐Aiub;Martin M. Vila‐Aiub;Paul Neve;Stephen B. Powles

  • Evolutionary-thinking in agricultural weed management.

    Paul Neve;Martin M. Vila-Aiub;Fabrice Roux

  • AHAS herbicide resistance endowing mutations: effect on AHAS functionality and plant growth

    Qin Yu;Heping Han;Martin M. Vila-Aiub;Stephen B. Powles

  • Ecological fitness of a multiple herbicide‐resistant Lolium rigidum population: dynamics of seed germination and seedling emergence of resistant and susceptible phenotypes

    M.M. Vila-Aiub;P. Neve;K.J. Steadman;Stephen Powles

  • Herbicide-resistant weeds: from research and knowledge to future needs

    Roberto Busi;Martin M. Vila-Aiub;Martin M. Vila-Aiub;Hugh John Beckie;Todd A. Gaines

  • A unified approach to the estimation and interpretation of resistance costs in plants.

    Martin M. Vila-Aiub;Paul Neve;Fabrice Roux

  • Glyphosate-resistant weeds of South American cropping systems: an overview.

    Martin M Vila-Aiub;Ribas A Vidal;Maria C Balbi;Pedro E Gundel

  • Resistance cost of a cytochrome P450 herbicide metabolism mechanism but not an ACCase target site mutation in a multiple resistant Lolium rigidum population.

    M.M. Vila-Aiub;P. Neve;Stephen Powles

  • Glyphosate resistance in perennial Sorghum halepense (Johnsongrass), endowed by reduced glyphosate translocation and leaf uptake

    Martin M Vila-Aiub;María C Balbi;Ana J Distéfano;Ana J Distéfano;Luis Fernández

  • Expanding the eco‐evolutionary context of herbicide resistance research

    Paul Neve;Roberto Busi;Michael Renton;Martin M Vila-Aiub;Martin M Vila-Aiub

  • No fitness cost of glyphosate resistance endowed by massive EPSPS gene amplification in Amaranthus palmeri

    Martin M. Vila-Aiub;Martin M. Vila-Aiub;Sou S. Goh;Todd A. Gaines;Heping Han

  • Genetic control of a cytochrome P450 metabolism-based herbicide resistance mechanism in Lolium rigidum.

    R Busi;M M Vila-Aiub;M M Vila-Aiub;S B Powles

  • Evolution of Glyphosate-Resistant Johnsongrass (Sorghum halepense) in Glyphosate-Resistant Soybean

    Martin M. Vila-Aiub;Maria C. Balbi;Pedro E. Gundel;Claudio M. Ghersa

  • Experimental methods for estimation of plant fitness costs associated with herbicide-resistance genes

    Martin M. Vila-Aiub;Pedro E. Gundel;Christopher Preston

  • Evidence for an ecological cost of enhanced herbicide metabolism in Lolium rigidum

    Martin M. Vila-Aiub;Paul Neve;Stephen B. Powles

  • Herbicide resistance modelling: past, present and future

    Michael Renton;Roberto Busi;Paul Neve;David Thornby

  • A double EPSPS gene mutation endowing glyphosate resistance shows a remarkably high resistance cost.

    Heping Han;Martin M. Vila-Aiub;Martin M. Vila-Aiub;Adam Jalaludin;Qin Yu

  • Glyphosate resistance in Sorghum halepense and Lolium rigidum is reduced at suboptimal growing temperatures

    Martin M Vila-Aiub;Martin M Vila-Aiub;Pedro E Gundel;Qin Yu;Stephen B Powles

  • The power and potential of genomics in weed biology and management

    Karl Ravet;Eric L. Patterson;Hansjörg Krähmer;Kateřina Hamouzová

  • Glyphosate Resistance in Perennial Ryegrass (Lolium perenne L.) is Associated with a Fitness Penalty

    Marcos Yanniccari;Martín Vila-Aiub;Carolina Istilart;Horacio Acciaresi

  • Do plants pay a fitness cost to be resistant to glyphosate

    Martin M. Vila-Aiub;Martin M. Vila-Aiub;Qin Yu;Stephen B. Powles

Frequent Co-Authors

Stephen B. Powles
Stephen B. Powles University of Western Australia
Paul Neve
Paul Neve University of Copenhagen
Qin Yu
Qin Yu University of Western Australia
Claudio M. Ghersa
Claudio M. Ghersa University of Buenos Aires
Pedro E. Gundel
Pedro E. Gundel University of Talca
Todd A. Gaines
Todd A. Gaines Colorado State University
Michael Renton
Michael Renton University of Western Australia
Patrick J. Tranel
Patrick J. Tranel University of Illinois at Urbana-Champaign
Christopher Preston
Christopher Preston University of Adelaide
Hugh J. Beckie
Hugh J. Beckie University of Western Australia

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