S. Mashima

434 citations
16 papers · 337 · h-index 10

Impact in

  • Equine top 5%
    • Veterinary Equine Medical Research
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals
    • Animal Genetics and Reproduction

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 10
    • Genetic and phenotypic traits in livestock 10
    • Genetic diversity and population structure 3
    • Animal Genetics and Reproduction 2
    • Molecular Biology Techniques and Applications 3
    • Genomics and Phylogenetic Studies 2

S. Mashima

15 papers receiving 316 citations

Peers

S. Mashima
Comparison fields: 5 of 51
  • Equine 35
  • Genetics 268
  • Molecular Biology 112
  • Microbiology 10
  • Animal Science and Zoology 16
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E. Bailey United States
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O. Ertugrul Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by S. Mashima

Since Specialization
Citations

This map shows the geographic impact of S. Mashima'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 S. Mashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mashima more than expected).

Fields of papers citing papers by S. Mashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Mashima. 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 S. Mashima. The network helps show where S. Mashima may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Mashima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Mashima Line = papers co-authored together S. Mashima links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 199583
2 200179
3 200558
4 200118
5 199517
6 200015
7 199514
8 200013
9 200012
10 199911
11 19988
12 20034
13 20012
14 20002
15 19991
16 20230

About S. Mashima

S. Mashima is a scholar working on Genetics, Molecular Biology, Plant Science, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 16 papers that have together received 337 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic and phenotypic traits in livestock (10 papers), Molecular Biology Techniques and Applications (3 papers), Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (2 papers), Chromosomal and Genetic Variations (2 papers), Animal Genetics and Reproduction (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Equine (35 citations), Genetics (268 citations), Molecular Biology (112 citations), Microbiology (10 citations) and Animal Science and Zoology (16 citations). S. Mashima has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Teruaki Tozaki, Nobushige Ishida, Harutaka MUKOYAMA, K. Hirota, Tsendsuren Oyunsuren, Naruya Saitou, Hironaga Kakoi, Motowo Tomita, Telhisa HASEGAWA and Kei-ichi HIROTA. Their work appears in journals such as Animal Genetics, Genome, Genomics, Journal of Molecular Evolution and Cytogenetic and Genome Research.

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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