D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 44 Citations 11,772 111 World Ranking 13821 National Ranking 5852

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Genome

Jeffrey Ross-Ibarra mainly focuses on Genetics, Domestication, Genome, Population genetics and Genetic diversity. His biological study spans a wide range of topics, including Botany, Genomics of domestication, Zea mays, Introgression and Gene flow. His research investigates the connection between Genome and topics such as Genetic variation that intersect with problems in Reference genome.

His work carried out in the field of Population genetics brings together such families of science as International HapMap Project and Local adaptation. His Local adaptation study also includes

  • Ecological speciation which connect with Evolutionary biology and Genomics,
  • Nucleotide diversity that connect with fields like Ecology. His Genetic diversity study integrates concerns from other disciplines, such as Agriculture, Soil retrogression and degradation and Climate change.

His most cited work include:

  • A first-generation haplotype map of maize (630 citations)
  • Comparative population genomics of maize domestication and improvement (589 citations)
  • Improved maize reference genome with single-molecule technologies (559 citations)

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

Jeffrey Ross-Ibarra mostly deals with Evolutionary biology, Genetics, Genome, Domestication and Gene. His Evolutionary biology research is multidisciplinary, incorporating elements of Genetic diversity, Natural selection, Zea mays, Quantitative trait locus and Adaptation. His research integrates issues of Genetic variation and Biota in his study of Adaptation.

His Genetics research incorporates elements of Population genetics and Heterosis. His Genome research incorporates themes from Computational biology and DNA sequencing. His Domestication study combines topics from a wide range of disciplines, such as Range, Effective population size, Botany, Introgression and Gene flow.

He most often published in these fields:

  • Evolutionary biology (40.99%)
  • Genetics (35.40%)
  • Genome (35.40%)

What were the highlights of his more recent work (between 2019-2021)?

  • Evolutionary biology (40.99%)
  • Gene (29.19%)
  • Genome (35.40%)

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

Jeffrey Ross-Ibarra mainly investigates Evolutionary biology, Gene, Genome, Allele and Quantitative trait locus. His Evolutionary biology research is multidisciplinary, relying on both Genetic model, Linkage disequilibrium, Genetic diversity and Natural selection. Gene is a subfield of Genetics that Jeffrey Ross-Ibarra explores.

His research in Genome intersects with topics in Andropogoneae and DNA methylation. His Allele study incorporates themes from Adaptation and Population genetics. His study focuses on the intersection of Quantitative trait locus and fields such as Single-nucleotide polymorphism with connections in the field of Convergent evolution.

Between 2019 and 2021, his most popular works were:

  • Genome-wide selection and genetic improvement during modern maize breeding. (26 citations)
  • Evolutionary and functional genomics of DNA methylation in maize domestication and improvement. (8 citations)
  • Evolutionary insights into plant breeding. (8 citations)

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

  • Gene
  • Genome
  • Genetics

Evolutionary biology, Quantitative trait locus, Genome, Gene and Domestication are his primary areas of study. Jeffrey Ross-Ibarra focuses mostly in the field of Evolutionary biology, narrowing it down to matters related to Natural selection and, in some cases, Population size. In Quantitative trait locus, he works on issues like Allele, which are connected to Local adaptation, Convergent evolution and Adaptation.

His Genome research includes elements of Linkage disequilibrium and Inbred strain. His study explores the link between Domestication and topics such as Genetic architecture that cross with problems in Plant breeding. His Demographic history study is focused on Genetics and Genetic diversity.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A first-generation haplotype map of maize

Michael A. Gore;Jer Ming Chia;Robert J. Elshire;Qi Sun.
Science (2009)

760 Citations

Comparative population genomics of maize domestication and improvement

Matthew B. Hufford;Xun Xu;Joost Van Heerwaarden;Tanja Pyhäjärvi.
Nature Genetics (2012)

692 Citations

Improved maize reference genome with single-molecule technologies

Yinping Jiao;Paul Peluso;Jinghua Shi;Tiffany Liang.
Nature (2017)

611 Citations

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.
Nature Genetics (2012)

559 Citations

Identification of a functional transposon insertion in the maize domestication gene tb1

Anthony Studer;Qiong Zhao;Jeffrey Ross-Ibarra;John Doebley.
Nature Genetics (2011)

521 Citations

Crop genomics: advances and applications

Peter L. Morrell;Edward S. Buckler;Jeffrey Ross-Ibarra.
Nature Reviews Genetics (2012)

440 Citations

Plant domestication, a unique opportunity to identify the genetic basis of adaptation

Jeffrey Ross-Ibarra;Peter L. Morrell;Brandon S. Gaut.
Proceedings of the National Academy of Sciences of the United States of America (2007)

394 Citations

Agriculture: Feeding the future

Susan McCouch;Gregory J. Baute;James Bradeen;Paula Bramel.
Nature (2013)

362 Citations

Patterns of Population Structure and Environmental Associations to Aridity Across the Range of Loblolly Pine (Pinus taeda L., Pinaceae)

Andrew J. Eckert;Joost van Heerwaarden;Jill L. Wegrzyn;C. Dana Nelson.
Genetics (2010)

358 Citations

Genetic signals of origin, spread, and introgression in a large sample of maize landraces

Joost van Heerwaarden;John Doebley;William H. Briggs;Jeffrey C. Glaubitz.
Proceedings of the National Academy of Sciences of the United States of America (2011)

349 Citations

Best Scientists Citing Jeffrey Ross-Ibarra

Edward S. Buckler

Edward S. Buckler

Cornell University

Publications: 180

Rajeev K. Varshney

Rajeev K. Varshney

International Crops Research Institute for the Semi-Arid Tropics

Publications: 76

Jianbing Yan

Jianbing Yan

Huazhong Agricultural University

Publications: 73

Nathan M. Springer

Nathan M. Springer

University of Minnesota

Publications: 66

Doreen Ware

Doreen Ware

Cold Spring Harbor Laboratory

Publications: 66

James B. Holland

James B. Holland

North Carolina State University

Publications: 61

Brandon S. Gaut

Brandon S. Gaut

University of California, Irvine

Publications: 52

David B. Neale

David B. Neale

University of California, Davis

Publications: 48

Peter J. Bradbury

Peter J. Bradbury

United States Department of Agriculture

Publications: 45

Loren H. Rieseberg

Loren H. Rieseberg

University of British Columbia

Publications: 42

Shawn M. Kaeppler

Shawn M. Kaeppler

University of Wisconsin–Madison

Publications: 41

Feng Zhang

Feng Zhang

Fudan University

Publications: 41

C. Robin Buell

C. Robin Buell

Michigan State University

Publications: 40

Michael D. Purugganan

Michael D. Purugganan

New York University

Publications: 38

Stephen I. Wright

Stephen I. Wright

University of Toronto

Publications: 38

Nils Stein

Nils Stein

Leibniz Association

Publications: 37

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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