Emily Miyoshi

33 total papers · 1.9k total citations
16 papers, 751 citations indexed

About

Emily Miyoshi is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Emily Miyoshi has authored 16 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Emily Miyoshi's work include Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (4 papers) and Alzheimer's disease research and treatments (4 papers). Emily Miyoshi is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (4 papers) and Alzheimer's disease research and treatments (4 papers). Emily Miyoshi collaborates with scholars based in United States and Bulgaria. Emily Miyoshi's co-authors include Vivek Swarup, Samuel Morabito, Fairlie Reese, Negin Rahimzadeh, Neethu Michael, Mari Perez‐Rosendahl, Justine Silva, Alessandra Cadete Martini, Elizabeth Head and Saba Shahin and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Biochemical and Biophysical Research Communications.

In The Last Decade

Emily Miyoshi

13 papers receiving 744 citations

Hit Papers

Single-nucleus chromatin ... 2021 2026 2022 2024 2021 2023 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emily Miyoshi 493 188 148 138 103 16 751
Samuel Morabito 504 1.0× 211 1.1× 137 0.9× 140 1.0× 112 1.1× 14 802
Regina H. Reynolds 319 0.6× 156 0.8× 116 0.8× 94 0.7× 83 0.8× 25 680
Kun Leng 470 1.0× 340 1.8× 223 1.5× 90 0.7× 71 0.7× 16 881
Hiramani Dhungana 259 0.5× 290 1.5× 99 0.7× 209 1.5× 69 0.7× 22 695
Pinelopi Engskog‐Vlachos 471 1.0× 175 0.9× 62 0.4× 88 0.6× 72 0.7× 17 721
Ginez A. González 364 0.7× 161 0.9× 87 0.6× 58 0.4× 59 0.6× 11 758
Sylvaine Guérit 343 0.7× 170 0.9× 53 0.4× 77 0.6× 129 1.3× 13 741
Jenny Yu 379 0.8× 146 0.8× 146 1.0× 55 0.4× 51 0.5× 17 670
Sarah Foerster 396 0.8× 214 1.1× 71 0.5× 76 0.6× 122 1.2× 16 785
Avgi Tsolou 377 0.8× 97 0.5× 315 2.1× 87 0.6× 107 1.0× 22 817

Countries citing papers authored by Emily Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Emily Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Miyoshi

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

All Works

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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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