Jeff Glaubitz
Impact in
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
Papers in
- Genetics 3
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic diversity and population structure 1
- Genetic and phenotypic traits in livestock 1
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- Horticultural and Viticultural Research 1
- Wheat and Barley Genetics and Pathology 1
- Plant Virus Research Studies 1
- Co-authors
- Edward S. Buckler (2 shared papers)Michael D. Casler (1 shared paper)Alexander E. Lipka (1 shared paper)Fei Lü (1 shared paper)Robert J. Elshire (1 shared paper)Denise E. Costich (1 shared paper)J. H. Cherney (1 shared paper)Mark W. Jones (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (1 paper)Theoretical and Applied Genetics (1 paper)Phytopathology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Jeff Glaubitz
4 papers receiving 597 citations
Jeff Glaubitz's Hit Papers
Peers
Comparison fields: 5 of 46
- Genetics 320
- Plant Science 358
- Agronomy and Crop Science 94
- Horticulture 6
- Ecological Modeling 14
Countries citing papers authored by Jeff Glaubitz
This map shows the geographic impact of Jeff Glaubitz'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 Jeff Glaubitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Glaubitz more than expected).
Fields of papers citing papers by Jeff Glaubitz
This network shows the impact of papers produced by Jeff Glaubitz. 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 Jeff Glaubitz. The network helps show where Jeff Glaubitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Glaubitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Switchgrass Genomic Diversity, Ploidy, and Evolution: Novel Insights from a Network-Based SNP Discovery Protocol Hit paper breakdown → | 2013 | 543 |
| 2 | 2017 | 37 | |
| 3 | 2017 | 28 | |
| 4 | 2023 | 8 |
About Jeff Glaubitz
Jeff Glaubitz is a scholar working on Genetics, Plant Science, Agronomy and Crop Science, Endocrinology and Food Science, having authored 4 papers that have together received 616 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic diversity and population structure (1 paper), Plant and Fungal Interactions Research (1 paper), Horticultural and Viticultural Research (1 paper), Wheat and Barley Genetics and Pathology (1 paper), Plant Virus Research Studies (1 paper), Bioenergy crop production and management (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Genetics (320 citations), Plant Science (358 citations), Agronomy and Crop Science (94 citations), Horticulture (6 citations) and Ecological Modeling (14 citations). Jeff Glaubitz has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Edward S. Buckler, Michael D. Casler, Alexander E. Lipka, Fei Lü, Robert J. Elshire, Denise E. Costich, J. H. Cherney, Mark W. Jones, M. Cinta Romay and Bryan W. Penning. Their work appears in journals such as PLANT PHYSIOLOGY, Theoretical and Applied Genetics, Phytopathology and PLoS Genetics.
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.