Brian L Sayre
- Genetics top 10%
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic diversity and population structure 2
- Animal Science and Zoology top 10%
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- Livestock Management and Performance Improvement 2
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- Chromosomal and Genetic Variations 2
- Postharvest Quality and Shelf Life Management 1
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- Parasites and Host Interactions 1
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- Geotechnical Engineering and Underground Structures 1
- Co-authors
- Ahmed ElbeltagyM. F. RothschildJoram M. MwacharoA. M. Aboul-NagaBarbara RischkowskyLeonardo M. MassoneJohn W. WallaceSteven Pao
- Journals
- Applied and Environmental Microbiology (1 paper)Scientific Reports (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesItalyAustria
In The Last Decade
Brian L Sayre
13 papers receiving 418 citations
Peers
Comparison fields: 5 of 52
- Genetics 282
- Animal Science and Zoology 65
- Cancer Research 78
- Agronomy and Crop Science 41
- Endocrinology 19
Countries citing papers authored by Brian L Sayre
This map shows the geographic impact of Brian L Sayre'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 Brian L Sayre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian L Sayre more than expected).
Fields of papers citing papers by Brian L Sayre
This network shows the impact of papers produced by Brian L Sayre. 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 Brian L Sayre. The network helps show where Brian L Sayre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian L Sayre, 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 | 2023 | 11 | |
| 2 | 2019 | 1 | |
| 3 | 2018 | 47 | |
| 4 | 2017 | 39 | |
| 5 | 2015 | 216 | |
| 6 | Genetic and Phenotypic Characterization of African Goat Populations to Prioritize Conservation and Production Efforts for Small-holder Farmers in Sub-Saharan Africa | 2014 | 15 |
| 7 | Goat breeding in the tropics: development and application of genomic tools in a USAID "feed the future" program. | 2013 | 0 |
| 8 | 2012 | 8 | |
| 9 | 2011 | 3 | |
| 10 | 2011 | 29 | |
| 11 | 2011 | 7 | |
| 12 | 2011 | 18 | |
| 13 | Comparative genomics for prediction of the relative location of ESTs in the goat genome | 2010 | 1 |
| 14 | 2005 | 36 |
About Brian L Sayre
Brian L Sayre is a scholar working on Genetics, Agronomy and Crop Science and Endocrinology, having authored 14 papers that have together received 431 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Chromosomal and Genetic Variations (2 papers), Livestock Management and Performance Improvement (2 papers), Genetic diversity and population structure (2 papers), Parasites and Host Interactions (1 paper), Geotechnical Engineering and Underground Structures (1 paper) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Genetics (282 citations), Animal Science and Zoology (65 citations) and Cancer Research (78 citations). Brian L Sayre has collaborated with scholars based in United States, Italy and Austria. Frequent co-authors include Ahmed Elbeltagy, M. F. Rothschild, Joram M. Mwacharo, A. M. Aboul-Naga, Barbara Rischkowsky, Leonardo M. Massone, John W. Wallace, Steven Pao, S. Wildeus and Paola Crepaldi. Their work appears in journals such as Applied and Environmental Microbiology, Scientific Reports and BMC Genomics.
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.