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Plant Science and Agronomy
Mexico
2026

D-Index & Metrics

Plant Science and Agronomy

D-Index
72
Citations
22512
World Ranking
617
National Ranking
5

Boddupalli M. Prasanna 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 Boddupalli M. Prasanna 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: 253 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Boddupalli M. Prasanna 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 Boddupalli M. Prasanna 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: 72 D-Index — 91st percentile

91% 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

  • 2026 - Research.com Plant Science and Agronomy in Mexico Leader Award
  • 2025 - Research.com Plant Science and Agronomy in Mexico Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Genetics
  • Gene
  • Agriculture

Biotechnology, Genetics, Germplasm, Quantitative trait locus and Single-nucleotide polymorphism are his primary areas of study. His Biotechnology research is multidisciplinary, incorporating elements of Molecular marker, Genetic variability, Selection, Genotyping and Genetic variation. His research in Germplasm intersects with topics in Genotyping Techniques, Genetic diversity, Plant breeding, Crop yield and Inbred strain.

The concepts of his Genetic diversity study are interwoven with issues in Machine learning, Multivariate statistics and Artificial intelligence. Boddupalli M. Prasanna works mostly in the field of Crop yield, limiting it down to concerns involving Growing season and, occasionally, Agroforestry, Agriculture and Climate change. Boddupalli M. Prasanna has researched Quantitative trait locus in several fields, including Association mapping, Anthesis and Heritability.

His most cited work include:

  • Analysis of Genetic Diversity in Crop Plants—Salient Statistical Tools and Considerations (714 citations)
  • Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security (638 citations)
  • Maize HapMap2 identifies extant variation from a genome in flux (487 citations)

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

His primary areas of investigation include Genetics, Agronomy, Germplasm, Biotechnology and Inbred strain. His Germplasm research includes elements of Agroforestry, Tropics, Domestication and Genetic diversity. His work deals with themes such as Agriculture and Climate change, which intersect with Agroforestry.

He has included themes like Molecular breeding, Genotyping, Selection and Plant breeding in his Biotechnology study. As part of one scientific family, he deals mainly with the area of Inbred strain, narrowing it down to issues related to the Kernel, and often Micronutrient. His Microsatellite research is multidisciplinary, relying on both Genetic marker and Genetic distance.

He most often published in these fields:

  • Genetics (29.32%)
  • Agronomy (26.70%)
  • Germplasm (25.13%)

What were the highlights of his more recent work (between 2018-2021)?

  • Genetics (29.32%)
  • Association mapping (6.81%)
  • Germplasm (25.13%)

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

Boddupalli M. Prasanna spends much of his time researching Genetics, Association mapping, Germplasm, Genome-wide association study and Heritability. Boddupalli M. Prasanna combines topics linked to Male fertility with his work on Genetics. His Germplasm study integrates concerns from other disciplines, such as Livelihood, Climate resilience, Tropics, Genetic variation and Inbred strain.

His study looks at the intersection of Inbred strain and topics like Marker-assisted selection with Hybrid. His study explores the link between Heritability and topics such as Genetic gain that cross with problems in Phenotype and Leaf spot. His Single-nucleotide polymorphism study combines topics in areas such as Missing data and Genetic diversity.

Between 2018 and 2021, his most popular works were:

  • Molecular Breeding for Nutritionally Enriched Maize: Status and Prospects (28 citations)
  • Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants. (27 citations)
  • Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize. (24 citations)

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

  • Gene
  • Agriculture
  • Genetics

His main research concerns Genetic gain, Agronomy, Association mapping, Biotechnology and Genetics. His Genetic gain study combines topics from a wide range of disciplines, such as Grain yield, Leaf spot and Hybrid. His studies in Hybrid integrate themes in fields like Phenotype, Marker-assisted selection, Selection, Breeding program and Doubled haploidy.

His Association mapping research includes themes of Plant disease resistance, Genome-wide association study, Quantitative trait locus, Genetic architecture and Genetic linkage. His Genetic architecture research incorporates elements of Genetic divergence, Germplasm, Allele and Candidate gene. His Biotechnology research integrates issues from Provitamin, Cultivar and Participatory assessment.

Best Publications

  • Analysis of Genetic Diversity in Crop Plants—Salient Statistical Tools and Considerations

    S. A. Mohammadi;B. M. Prasanna

  • Crops that feed the world 6. Past successes and future challenges to the role played by maize in global food security

    Bekele Shiferaw;Boddupalli M. Prasanna;Jonathan Hellin;Marianne Bänziger

  • Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: Technological, institutional and policy options

    Bekele Shiferaw;Kindie Tesfaye;Menale Kassie;Tsedeke Abate

  • Maize HapMap2 identifies extant variation from a genome in flux

    Jer Ming Chia;Chi Song;Peter J. Bradbury;Peter J. Bradbury;Denise Costich;Denise Costich

  • Adapting maize production to climate change in sub-Saharan Africa

    Jill E. Cairns;Jon Hellin;Kai Sonder;José Luis Araus

  • Quality protein maize

    B.M. Prasanna;S.K. Vasal;B. Kassahun;N.N. Singh

  • Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize

    Xiaohong Yang;Shibin Gao;Shutu Xu;Zuxin Zhang

  • Maize production in a changing climate: Impacts, adaptation, and mitigation strategies

    J.E. Cairns;K. Sonder;P.H. Zaidi;N. Verhulst;N. Verhulst

  • Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

    M Zaman-Allah;O Vergara;J L Araus;A Tarekegne

  • SEQUENTIAL PATH MODEL FOR DETERMINING INTERRELATIONSHIPS AMONG GRAIN YIELD AND RELATED CHARACTERS IN MAIZE

    S. A. Mohammadi;B. M. Prasanna;N. N. Singh

  • Smart breeding driven by big data, artificial intelligence and integrated genomic-enviromic prediction.

    Unknown

  • Enhancing genetic gain in the era of molecular breeding

    Yunbi Xu;Ping Li;Cheng Zou;Yanli Lu

  • The metal silo: An effective grain storage technology for reducing post-harvest insect and pathogen losses in maize while improving smallholder farmers' food security in developing countries

    Tadele Tefera;Fred Kanampiu;Hugo De Groote;Jon Hellin

  • Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress

    Yoseph Beyene;Kassa Semagn;Stephen Mugo;Amsal Tarekegne

  • Maize Lethal Necrosis (MLN), an emerging threat to maize-based food security in sub-Saharan Africa

    George Mahuku;Benham E. Lockhart;Bramwel Wanjala;Mark W. Jones

  • Diversity in global maize germplasm: Characterization and utilization

    B M Prasanna

  • Fall armyworm in Africa: a guide for integrated pest management

    B.M. Prasanna;J.E. Huesing;R. Eddy;V.M. Peschke

  • Enhancing Genetic Gain through Genomic Selection: From Livestock to Plants.

    Yunbi Xu;Yunbi Xu;Xiaogang Liu;Junjie Fu;Hongwu Wang

  • Integrating marker-assisted selection in crop breeding: Prospects and challenges

    R. Babu;Sudha K. Nair;B. M. Prasanna;H. S. Gupta

  • Doubled haploid technology for line development in maize: technical advances and prospects

    Vijay Chaikam;Willem Molenaar;Albrecht E. Melchinger;Prasanna M. Boddupalli

  • Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs

    X Zhang;P Pérez-Rodríguez;K Semagn;Y Beyene

  • Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation

    John M. Hickey;Susanne Dreisigacker;Jose Crossa;Sarah Hearne

  • Molecular Breeding for Nutritionally Enriched Maize: Status and Prospects

    Boddupalli M. Prasanna;Natalia Palacios-Rojas;Firoz Hossain;Vignesh Muthusamy

  • Whole-genome strategies for marker-assisted plant breeding

    Yunbi Xu;Yanli Lu;Chuanxiao Xie;Shibin Gao

  • Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm.

    Manje Gowda;Biswanath Das;Dan Makumbi;Raman Babu

  • Molecular marker-assisted breeding options for maize improvement in Asia

    B. M. Prasanna;Kevin Pixley;Kevin Pixley;Marilyn L. Warburton;Chuan-Xiao Xie

  • Genome-Wide Analysis of Tar Spot Complex Resistance in Maize Using Genotyping-by-Sequencing SNPs and Whole-Genome Prediction

    Shiliang Cao;Alexander Loladze;Yibing Yuan;Yongsheng Wu

  • Doubled haploid technology in maize breeding: theory and practice

    B.M. Prasanna;V. Chaikam;G. Mahuku

Frequent Co-Authors

Yoseph Beyene
Yoseph Beyene International Maize and Wheat Improvement Center
Jill E. Cairns
Jill E. Cairns International Maize and Wheat Improvement Center
José Crossa
José Crossa International Maize and Wheat Improvement Center
Manje Gowda
Manje Gowda International Maize and Wheat Improvement Center
Stephen Mugo
Stephen Mugo Center for Resilient Agriculture for Africa
Kassa Semagn
Kassa Semagn University of Alberta
Raman Babu
Raman Babu Corteva Agriscience
Cosmos Magorokosho
Cosmos Magorokosho International Maize and Wheat Improvement Center
Mainassara Zaman-Allah
Mainassara Zaman-Allah International Maize and Wheat Improvement Center
Yunbi Xu
Yunbi Xu Peking University

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