Matthew Jevit

484 citations
9 papers · 59 · h-index 5

Impact in

    • Genetic and phenotypic traits in livestock
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic diversity and population structure

Papers in

    • Genetic and phenotypic traits in livestock 5
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genetic diversity and population structure 2
    • Sexual Differentiation and Disorders 2

Matthew Jevit

9 papers receiving 57 citations

Peers

Matthew Jevit
Comparison fields: 5 of 35
  • Equine 4
  • Genetics 39
  • Agronomy and Crop Science 10
  • Aging 1
  • Food Science 10
Replace Wahid Zamani with:
Wahid Zamani Iran
Ze Yan China
Yongsheng Zhao China
Maryam Nosrati Iran
Abul Kashem Fazlul Haque Bhuiyan Bangladesh
Weijun Liang China
Claire Oget France
Wilson Nandolo Malawi
B. Kuhla Germany
Mariya A. Kusliy Russia
Matthew Jevit relative to Wahid Zamani Iran Wahid Zamani's profile →
Citations per field
00.5×
Wahid Zamani · 1×
Citations per year

Countries citing papers authored by Matthew Jevit

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Jevit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Jevit, 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 Matthew Jevit Line = papers co-authored together Matthew Jevit links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201920
2 202010
3 20208
4 20227
5 20215
6 20234
7 20233
8 20221
9 20231

About Matthew Jevit

Matthew Jevit is a scholar working on Genetics, Molecular Biology, Plant Science, Reproductive Medicine and Ecology, having authored 9 papers that have together received 59 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Chromosomal and Genetic Variations (3 papers), Genetic diversity and population structure (2 papers), Sperm and Testicular Function (2 papers), Sexual Differentiation and Disorders (2 papers) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Equine (4 citations), Genetics (39 citations), Agronomy and Crop Science (10 citations), Aging (1 citation) and Food Science (10 citations). Matthew Jevit has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Terje Raudsepp, Theodore R. Allnutt, Mark F. Richardson, Brian W. Davis, Belinda Appleton, Sharmila Ghosh, Gus A. Wright, Ahmed Tibary, Larry Croft and Dickson D. Varner. Their work appears in journals such as Genes, PLoS ONE, Scientific Reports, Frontiers in Veterinary Science and Landscape Ecology.

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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