Shawn Kaeppler

Shawn Kaeppler

University of Wisconsin-Madison

H-index: 66

North America-United States

About Shawn Kaeppler

Shawn Kaeppler, With an exceptional h-index of 66 and a recent h-index of 45 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of Plant Breeding, Genetics, Genomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Introgression effects on grain quality and hybrid performance in releases from the Germplasm Enhancement of Maize Project Author Contributions

Comparison of prediction methods in diverse maize populations Author Contributions

Performance of maize hybrids containing exotic introgressions in multi-environment trials Author Contributions

METHOD TO ENRICH DESIRED TYPES IN SEED-DERIVED CROPS

Remembering Ronald L. Phillips: Pioneer in crop biotechnology, mentor, and humanitarian

Performance and phenotypic stability of maize hybrids containing exotic introgressions in multi‐environment trials

Genetic analysis of pericarp pigmentation variation in Corn Belt dent maize

Effects of endosperm type and storage length of whole-plant corn silage on nitrogen fraction, fermentation products, zein profile, and starch digestibility

Shawn Kaeppler Information

University

Position

___

Citations(all)

16981

Citations(since 2020)

6929

Cited By

12851

hIndex(all)

66

hIndex(since 2020)

45

i10Index(all)

138

i10Index(since 2020)

110

Email

University Profile Page

Google Scholar

Shawn Kaeppler Skills & Research Interests

Plant Breeding

Genetics

Genomics

Top articles of Shawn Kaeppler

Introgression effects on grain quality and hybrid performance in releases from the Germplasm Enhancement of Maize Project Author Contributions

Leveraging genetic diversity in maize breeding

2024/12/14

Comparison of prediction methods in diverse maize populations Author Contributions

Leveraging genetic diversity in maize breeding

2024/12/14

Performance of maize hybrids containing exotic introgressions in multi-environment trials Author Contributions

Leveraging genetic diversity in maize breeding

2024/12/14

METHOD TO ENRICH DESIRED TYPES IN SEED-DERIVED CROPS

2024/2/29

Remembering Ronald L. Phillips: Pioneer in crop biotechnology, mentor, and humanitarian

Proceedings of the National Academy of Sciences

2024/1/30

Performance and phenotypic stability of maize hybrids containing exotic introgressions in multi‐environment trials

Crop Science

2024

Genetic analysis of pericarp pigmentation variation in Corn Belt dent maize

G3: Genes, Genomes, Genetics

2024/1

Effects of endosperm type and storage length of whole-plant corn silage on nitrogen fraction, fermentation products, zein profile, and starch digestibility

Journal of Dairy Science

2023/12/1

Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America

Nature Communications

2023/10/30

2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative

BMC Research Notes

2023/9/14

A key to totipotency: Wuschel‐like homeobox 2a unlocks embryogenic culture response in maize (Zea mays L.)

Plant Biotechnology Journal

2023/9

A practical method to improve the efficiency of pollination in maize breeding and genetics research

Crop Science

2023/9

Plot-level maize early stage stand counting and spacing detection using advanced deep learning algorithms based on UAV imagery

Agronomy

2023/6/27

2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project

BMC Genomic Data

2023/5/25

Transcription factor bHLH121 regulates root cortical aerenchyma formation in maize

Proceedings of the National Academy of Sciences

2023/3/21

Utility of anthesis–silking interval information to predict grain yield under water and nitrogen limited conditions

Crop Science

2023/1

Erratum to: Relative utility of agronomic, phenological, and morphological traits for assessing genotype-by-environment interaction in maize inbreds (Crop Science,(2020), 60, 1 …

Crop Science

2022/11/1

A novel high-throughput hyperspectral scanner and analytical methods for predicting maize kernel composition and physical traits

Food Chemistry

2022/10/15

See List of Professors in Shawn Kaeppler University(University of Wisconsin-Madison)

Co-Authors

academic-engine