Jason A. Peiffer
- Plant Science top 0.2%
- Genetics top 0.5%
- Molecular Biology top 10%
- Ecology top 5%
- Agronomy and Crop Science top 1%
- Co-authors
- Edward S. BucklerZhiwu ZhangMichael A. GoreRuth E. LeyPeter J. BradburyOmry KorenJeffery L. DanglSusannah G. Tringe
- Topics
- Genetic Mapping and Diversity in Plants and Animals (9 papers)Genetic and phenotypic traits in livestock (5 papers)Plant-Microbe Interactions and Immunity (3 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- United StatesJapanMexico
In The Last Decade
Jason A. Peiffer
12 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Plant Science 4.4k
- Genetics 2.2k
- Molecular Biology 1.1k
- Ecology 527
- Agronomy and Crop Science 416
Countries citing papers authored by Jason A. Peiffer
This map shows the geographic impact of Jason A. Peiffer'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 Jason A. Peiffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason A. Peiffer more than expected).
Fields of papers citing papers by Jason A. Peiffer
This network shows the impact of papers produced by Jason A. Peiffer. 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 Jason A. Peiffer. The network helps show where Jason A. Peiffer may publish in the future.
Co-authorship network of co-authors of Jason A. Peiffer
This figure shows the co-authorship network connecting the top 25 collaborators of Jason A. Peiffer. A scholar is included among the top collaborators of Jason A. Peiffer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason A. Peiffer. Jason A. Peiffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Large-scale replicated field study of maize rhizosphere identifies heritable microbesbreakdown → | 404 |
| 2 | 99 | |
| 3 | 99 | |
| 4 | 250 | |
| 5 | 98 | |
| 6 | 27 | |
| 7 | Diversity and heritability of the maize rhizosphere microbiome under field conditionsbreakdown → | 1302 |
| 8 | Comprehensive genotyping of the USA national maize inbred seed bankbreakdown → | 395 |
| 9 | GAPIT: genome association and prediction integrated toolbreakdown → | 1617 |
| 10 | A First-Generation Haplotype Map of Maizebreakdown → | 536 |
| 11 | Association Mapping: Critical Considerations Shift from Genotyping to Experimental Designbreakdown → | 607 |
| 12 | 28 |
About Jason A. Peiffer
Jason A. Peiffer is a scholar working on Genetics, Plant Science and Molecular Biology, having authored 12 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Genetic and phenotypic traits in livestock (5 papers) and Plant-Microbe Interactions and Immunity (3 papers). The work is most often cited by research in Plant Science (4.4k citations), Genetics (2.2k citations) and Horticulture (40 citations). Jason A. Peiffer has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Edward S. Buckler, Zhiwu Zhang, Michael A. Gore, Ruth E. Ley, Peter J. Bradbury, Omry Koren, Jeffery L. Dangl, Susannah G. Tringe, Zhao Jin and Meng Li. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.
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.