Yutaka Masuda

3.3k citations
110 papers · 2.2k indexed · h-index 28
Topics
Genetic and phenotypic traits in livestock (81 papers)Genetic Mapping and Diversity in Plants and Animals (55 papers)Genetics and Plant Breeding (29 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEGenetics
Partner nations
United StatesJapanFrance

In The Last Decade

Yutaka Masuda

105 papers receiving 2.2k citations

Peers

Yutaka Masuda
Comparison fields: 5 of 110
  • Genetics 1.6k
  • Plant Science 727
  • Agronomy and Crop Science 400
  • Animal Science and Zoology 395
  • Molecular Biology 307
Replace Fabio Pilla with:
Fabio Pilla Italy
Feng‐Qi Zhao United States
Mette Krogh Larsen Denmark
Jana Frahm Germany
C. Óvilo Spain
Florence Gondret France
Angela Salzano Italy
Kristin Hollung Norway
Mariusz Pierzchała Poland
J. C. Matthews United States
Yutaka Masuda relative to Fabio Pilla Italy Fabio Pilla's profile →
Citations per field
00.5×3.8×
Fabio Pilla · 1×
Citations per year

Countries citing papers authored by Yutaka Masuda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yutaka Masuda

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Masuda. A scholar is included among the top collaborators of Yutaka Masuda 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 Yutaka Masuda. Yutaka Masuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 2
6 6
7 7
8 13
9
A deregression method for single-step genomic model using all genotype data
1
10 37
11 21
12 3
13
Pre-selection bias and validation method in single-step GBLUP for production traits in US Holstein
2
14 1
15 1
16 4
17 5
18 1
19 5
20 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) and Genetics and Plant Breeding (29 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.

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