Matthew A. Cleveland
- Genetics top 2%
- Genetic and phenotypic traits in livestock 22
- Genetic Mapping and Diversity in Plants and Animals 16
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology 4
- Reproductive Physiology in Livestock 2
- Plant Science top 10%
- Genetics and Plant Breeding 8
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology 2
- Small Animals top 10%
-
- Building Energy and Comfort Optimization 2
-
- Turfgrass Adaptation and Management 2
Matthew A. Cleveland
27 papers receiving 867 citations
Peers
Comparison fields: 5 of 87
- Genetics 725
- Agronomy and Crop Science 139
- Plant Science 334
- Animal Science and Zoology 71
- Small Animals 33
Countries citing papers authored by Matthew A. Cleveland
This map shows the geographic impact of Matthew A. Cleveland'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 Matthew A. Cleveland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Cleveland more than expected).
Fields of papers citing papers by Matthew A. Cleveland
This network shows the impact of papers produced by Matthew A. Cleveland. 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 Matthew A. Cleveland. The network helps show where Matthew A. Cleveland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew A. Cleveland, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 52 | |
| 8 | 2019 | 0 | |
| 9 | 2018 | 48 | |
| 10 | 2015 | 103 | |
| 11 | Use of Genome Editing in Animal Breeding Programs | 2014 | 0 |
| 12 | Sequencing Millions of Animals for Genomic Selection 2.0 | 2014 | 7 |
| 13 | 2013 | 6 | |
| 14 | 2013 | 94 | |
| 15 | 2012 | 69 | |
| 16 | 2012 | 122 | |
| 17 | 2012 | 0 | |
| 18 | Recursive Long Range Phasing and Long Haplotype Library Imputation: Building a Global Haplotype Library for Holstein cattle | 2010 | 7 |
| 19 | 2009 | 6 | |
| 20 | 2005 | 42 |
About Matthew A. Cleveland
Matthew A. Cleveland is a scholar working on Genetics, Agronomy and Crop Science and Small Animals, having authored 34 papers that have together received 894 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers), Genetics and Plant Breeding (8 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Building Energy and Comfort Optimization (2 papers), Reproductive Physiology in Livestock (2 papers), Turfgrass Adaptation and Management (2 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Genetics (725 citations), Agronomy and Crop Science (139 citations) and Plant Science (334 citations). Matthew A. Cleveland has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John M. Hickey, Gregor Gorjanc, J. Hickey, Selma Forni, Brian Kinghorn, J. H. J. van der Werf, Bruce Tier, Ross D. Houston, Christian Maltecca and K.A. Weigel. Their work appears in journals such as Bioinformatics, Scientific Reports and Journal of Computational Physics.
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.