Timothy Beissinger

1.9k citations

31 papers · 1.1k indexed · h-index 16

Impact in

Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
Plant Science top 5%
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Plant Disease Resistance and Genetics
- Chromosomal and Genetic Variations

Papers in ⓘ

Genetics 27
- Genetic Mapping and Diversity in Plants and Animals 25
- Genetic and phenotypic traits in livestock 15
- Genetic diversity and population structure 6
Plant Science 22
- Genetics and Plant Breeding 15
- Wheat and Barley Genetics and Pathology 5
- Plant Molecular Biology Research 3

Co-authors: Natalia de León (10 shared papers)Jason D. Gillman (2 shared papers)Avjinder S. Kaler (2 shared papers)Larry C. Purcell (2 shared papers)Shawn M. Kaeppler (7 shared papers)Jeffrey Ross‐Ibarra (3 shared papers)Li Wang (2 shared papers)Matthew B. Hufford (2 shared papers)
Journals: G3 Genes Genomes Genetics (7 papers)Genetics (3 papers)Frontiers in Plant Science (2 papers)Genetics Selection Evolution (2 papers)BMC Plant Biology (2 papers)
Partner nations: United States Germany Netherlands

In The Last Decade

Timothy Beissinger

31 papers receiving 1.0k citations

Peers

Countries citing papers authored by Timothy Beissinger

Since Specialization

Citations

This map shows the geographic impact of Timothy Beissinger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Timothy Beissinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Beissinger more than expected).

Fields of papers citing papers by Timothy Beissinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Beissinger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Timothy Beissinger. The network helps show where Timothy Beissinger may publish in the future.

Co-authors

The 25 scholars most cited alongside Timothy Beissinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timothy Beissinger Line = papers co-authored together Timothy Beissinger links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Comparing Different Statistical Models and Multiple Testing Corrections for Association Mapping in Soybean and Maize Frontiers in Plant Science ·Avjinder S. Kaler, Jason D. Gillman, Timothy Beissinger, Larry C. Purcell	2020	154
2	Marker Density and Read Depth for Genotyping Populations Using Genotyping-by-Sequencing Genetics ·Timothy Beissinger, Candice N. Hirsch, Rajandeep S. Sekhon, Jillian M. Foerster, James M. Johnson, German Muttoni, Brieanne Vaillancourt, C. Robin Buell, Shawn M. Kaeppler, Natalia de León	2013	134
3	The interplay of demography and selection during maize domestication and expansion Genome biology ·Li Wang, Timothy Beissinger, Anne Lorant, Claudia Ross-Ibarra, Jeffrey Ross‐Ibarra, Matthew B. Hufford	2017	133
4	Recent demography drives changes in linked selection across the maize genome Nature Plants ·Timothy Beissinger, Li Wang, Kate Crosby, Arun Durvasula, Matthew B. Hufford, Jeffrey Ross‐Ibarra	2016	72
5	Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize The Plant Cell ·Rajandeep S. Sekhon, Christopher Saski, Rohit Kumar, Barry S. Flinn, Feng Luo, Timothy Beissinger, Arlyn J. Ackerman, Matthew W. Breitzman, William C. Bridges, Natalia de León, Shawn M. Kaeppler	2019	67
6	Defining window-boundaries for genomic analyses using smoothing spline techniques Genetics Selection Evolution ·Timothy Beissinger, Guilherme J. M. Rosa, Shawn M. Kaeppler, Daniel Gianola, Natalia de León	2015	67
7	The Evolutionary History of Wild, Domesticated, and Feral Brassica oleracea (Brassicaceae) Molecular Biology and Evolution ·Makenzie E. Mabry, S. Turner, Evan Y. Gallagher, Alex C. McAlvay, Hong An, Patrick P. Edger, Jonathan D. Moore, David Pink, Graham R. Teakle, Chris J. Stevens, Guy C. Barker, Joanne A. Labate, Dorian Q. Fuller, Robin G. Allaby, Timothy Beissinger, Jared E. Decker, Michael A. Gore, J. Chris Pires	2021	58
8	A Genome-Wide Scan for Evidence of Selection in a Maize Population Under Long-Term Artificial Selection for Ear Number Genetics ·Timothy Beissinger, Candice N. Hirsch, Brieanne Vaillancourt, Shweta Deshpande, Kerrie Barry, C. Robin Buell, Shawn M. Kaeppler, Daniel Gianola, Natalia de León	2014	50
9	Genomic prediction models for traits differing in heritability for soybean, rice, and maize BMC Plant Biology ·Avjinder S. Kaler, Larry C. Purcell, Timothy Beissinger, Jason D. Gillman	2022	41
10	Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks Frontiers in Plant Science ·Cathy C. Westhues, Gregory S. Mahone, Sofia Da Silva, Patrick Thorwarth, Malthe Schmidt, Jan-Christoph Richter, Henner Simianer, Timothy Beissinger	2021	32
11	Evolutionary insights into plant breeding Current Opinion in Plant Biology ·S. Turner, Makenzie E. Mabry, Timothy Beissinger, Jeffrey Ross‐Ibarra, J. Chris Pires	2020	29
12	Insights into the Effects of Long-Term Artificial Selection on Seed Size in Maize Genetics ·Candice N. Hirsch, Sherry Flint-García, Timothy Beissinger, Steven R. Eichten, Shweta Deshpande, Kerrie Barry, Michael D. McMullen, James B. Holland, Edward S. Buckler, Nathan M. Springer, C. Robin Buell, Natalia de León, Shawn M. Kaeppler	2014	29
13	Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs BMC Plant Biology ·Abiskar Gyawali, Vivek Shrestha, Katherine E. Guill, Sherry Flint-García, Timothy Beissinger	2019	27
14	Yield prediction through integration of genetic, environment, and management data through deep learning G3 Genes Genomes Genetics ·Daniel R Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Barış Alaca, Timothy Beissinger, Jode W. Edwards, David Ertl, Sherry Flint-García, Joseph L. Gage, Candice N. Hirsch, J. Knoll, Natalia de León, Dayane Cristina Lima, Danilo Moreta, Maninder P. Singh, Addie Thompson, Teclemariam Weldekidan, Jacob D. Washburn	2023	26
15	Shared Genomic Regions Between Derivatives of a Large Segregating Population of Maize Identified Using Bulked Segregant Analysis Sequencing and Traditional Linkage Analysis G3 Genes Genomes Genetics ·Nicholas Haase, Timothy Beissinger, Candice N. Hirsch, Brieanne Vaillancourt, Shweta Deshpande, Kerrie Barry, C. Robin Buell, Shawn M. Kaeppler, Natalia de León	2015	24
16	Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.) Theoretical and Applied Genetics ·Jillian M. Foerster, Timothy Beissinger, Natalia de León, Shawn M. Kaeppler	2015	17
17	Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics Genetics Selection Evolution ·Xiao‐Lin Wu, Chuanyu Sun, Timothy Beissinger, Guilherme J. M. Rosa, K.A. Weigel, Natalia de Leon Gatti, Daniel Gianola	2012	14
18	Genetic Architecture of Maize Rind Strength Revealed by the Analysis of Divergently Selected Populations Plant and Cell Physiology ·Rohit Kumar, Abiskar Gyawali, Ginnie D. Morrison, Christopher Saski, Daniel J. Robertson, Douglas D. Cook, Nishanth Tharayil, Robert Schaefer, Timothy Beissinger, Rajandeep S. Sekhon	2021	13
19	A Primer on High-Throughput Computing for Genomic Selection SHILAP Revista de lepidopterología ·Xiao‐Lin Wu, Timothy Beissinger, Stewart Bauck, B. W. Woodward, Guilherme J. M. Rosa, K.A. Weigel, Natalia de Leon Gatti, Daniel Gianola	2011	12
20	Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry Arabidopsis Seeds G3 Genes Genomes Genetics ·S. Turner, Kevin A. Bird, Alexander E. Lipka, Elizabeth G. King, Timothy Beissinger, Ruthie Angelovici	2020	11

About Timothy Beissinger

Timothy Beissinger is a scholar working on Genetics, Plant Science, Molecular Biology, Animal Science and Zoology and Developmental and Educational Psychology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (25 papers), Genetic and phenotypic traits in livestock (15 papers), Genetics and Plant Breeding (15 papers), Genetic diversity and population structure (6 papers), Wheat and Barley Genetics and Pathology (5 papers), Genomics and Phylogenetic Studies (4 papers), Plant Molecular Biology Research (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Genetics (650 citations), Plant Science (747 citations), Horticulture (8 citations), Agronomy and Crop Science (75 citations) and Molecular Biology (260 citations). Timothy Beissinger has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Natalia de León, Jason D. Gillman, Avjinder S. Kaler, Larry C. Purcell, Shawn M. Kaeppler, Jeffrey Ross‐Ibarra, Li Wang, Matthew B. Hufford, Candice N. Hirsch and Daniel Gianola. Their work appears in journals such as G3 Genes Genomes Genetics, Genetics, Frontiers in Plant Science, Genetics Selection Evolution and BMC Plant Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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