Yutaka Masuda
- Genetics top 1%
- Genetic and phenotypic traits in livestock 81
- Genetic Mapping and Diversity in Plants and Animals 55
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock 19
- Ruminant Nutrition and Digestive Physiology 5
- Animal Science and Zoology top 1%
- Effects of Environmental Stressors on Livestock 12
- Animal Nutrition and Physiology 5
- Plant Science top 5%
- Genetics and Plant Breeding 29
- Small Animals top 5%
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- Migraine and Headache Studies 5
- Co-authors
- I. MisztalDaniela LourençoAndrés LegarraS. TsurutaIgnácio AguilarBreno FragomeniIvan PocrnićMitsuyoshi Suzuki
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Genetics (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Yutaka Masuda
105 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 110
- Genetics 1.6k
- Agronomy and Crop Science 400
- Animal Science and Zoology 395
- Plant Science 727
- Small Animals 111
Countries citing papers authored by Yutaka Masuda
This map shows the geographic impact of Yutaka Masuda'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 Yutaka Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Masuda more than expected).
Fields of papers citing papers by Yutaka Masuda
This network shows the impact of papers produced by Yutaka Masuda. 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 Yutaka Masuda. The network helps show where Yutaka Masuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yutaka Masuda, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 13 | |
| 9 | A deregression method for single-step genomic model using all genotype data | 2021 | 1 |
| 10 | 2020 | 37 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 3 | |
| 13 | Pre-selection bias and validation method in single-step GBLUP for production traits in US Holstein | 2018 | 2 |
| 14 | 2014 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2012 | 4 | |
| 17 | 2010 | 5 | |
| 18 | 2010 | 1 | |
| 19 | 2007 | 5 | |
| 20 | 1992 | 2 |
About Yutaka Masuda
Yutaka Masuda is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology, having authored 110 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (81 papers), Genetic Mapping and Diversity in Plants and Animals (55 papers), Genetics and Plant Breeding (29 papers), Reproductive Physiology in Livestock (19 papers), Effects of Environmental Stressors on Livestock (12 papers), Migraine and Headache Studies (5 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Genetics (1.6k citations), Agronomy and Crop Science (400 citations) and Animal Science and Zoology (395 citations). Yutaka Masuda has collaborated with scholars based in United States, Japan and France. Frequent co-authors include I. Misztal, Daniela Lourenço, Andrés Legarra, S. Tsuruta, Ignácio Aguilar, Breno Fragomeni, Ivan Pocrnić, Mitsuyoshi Suzuki, T.J. Lawlor and Shigeo Nakajo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and 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.