Emily Miyoshi

2.0k total citations · 2 hit papers
16 papers, 783 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 783 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, Justine Silva, Saba Shahin, Mari Perez‐Rosendahl, Alessandra Cadete Martini and Elizabeth Head 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 776 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-nucleus chromatin accessibility and transcriptomic characterization of Alzheimer’s disease

2021 339 citations Samuel Morabito, Emily Miyoshi et al. Nature Genetics profile →
hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data

2023 260 citations Samuel Morabito, Fairlie Reese et al. Cell Reports Methods profile →

Peers

Emily Miyoshi

NEURO

PHYSI

IMMUN

Samuel Morabito United States

Regina H. Reynolds United Kingdom

Brendan T. Innes Canada

Ewoud Ewing Sweden

Idoia Blanco‐Luquin Spain

Parham Nejad United States

Seungyeul Yoo United States

Boris Guennewig Australia

Brandon C. Sos United States

Ayesha P. Ng United States

Samuel Morabito United States

Emily Miyoshi

528 ×1.0

217 ×1.1

NEURO

140 ×0.9

PHYSI

148 ×1.0

IMMUN

116 ×1.1

Citations per year, relative to Emily Miyoshi Emily Miyoshi (= 1×) peers Samuel Morabito

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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16 of 16 papers shown

Thomas, Ria, Emily Miyoshi, Hasan O. Akman, et al.. (2025). Splice-modulating antisense oligonucleotides targeting a pathogenic intronic variant in adult polyglucosan body disease correct mis-splicing and restore enzyme activity in patient cells. Nucleic Acids Research. 53(13).

Morabito, Samuel, Jennifer Stocksdale, Emily Miyoshi, et al.. (2025). Single-nucleus multi-omics identifies shared and distinct pathways in Pick’s and Alzheimer’s disease. Science Advances. 11(46). eads7973–eads7973.

Melnik, Mikhail, Emily Miyoshi, María M. Corrada, et al.. (2024). Simultaneous isolation of intact brain cells and cell-specific extracellular vesicles from cryopreserved Alzheimer’s disease cortex. Journal of Neuroscience Methods. 406. 110137–110137. 4 indexed citations

Morabito, Samuel, Fairlie Reese, Negin Rahimzadeh, Emily Miyoshi, & Vivek Swarup. (2023). hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data. Cell Reports Methods. 3(6). 100498–100498. 260 indexed citations breakdown →

Morabito, Samuel, Emily Miyoshi, Neethu Michael, et al.. (2023). Integrated spatial and single‐cell transcriptomic analysis of genetic and sporadic forms of Alzheimer’s disease. Alzheimer s & Dementia. 19(S12).

Reyes-Ortiz, Andrea M., Edsel M. Abud, Jie Wu, et al.. (2022). Single-nuclei transcriptome analysis of Huntington disease iPSC and mouse astrocytes implicates maturation and functional deficits. iScience. 26(1). 105732–105732. 11 indexed citations

Das, Sudeshna, et al.. (2022). Protocol for single-nucleus ATAC sequencing and bioinformatic analysis in frozen human brain tissue. STAR Protocols. 3(3). 101491–101491. 7 indexed citations

Miyoshi, Emily, Samuel Morabito, Neethu Michael, et al.. (2022). Spatiotemporal transcriptomic characterization of an amyloid mouse model of Alzheimer’s disease. Alzheimer s & Dementia. 18(S3). 2 indexed citations

Morabito, Samuel, Emily Miyoshi, Neethu Michael, et al.. (2021). Single-nucleus chromatin accessibility and transcriptomic characterization of Alzheimer’s disease. Nature Genetics. 53(8). 1143–1155. 339 indexed citations breakdown →

10.

Miyoshi, Emily, Tina Bilousova, Mikhail Melnik, et al.. (2021). Exosomal tau with seeding activity is released from Alzheimer's disease synapses, and seeding potential is associated with amyloid beta. Laboratory Investigation. 101(12). 1605–1617. 42 indexed citations

11.

Miyoshi, Emily, Samuel Morabito, & Vivek Swarup. (2021). Systems biology approaches to unravel the molecular and genetic architecture of Alzheimer's disease and related tauopathies. Neurobiology of Disease. 160. 105530–105530. 7 indexed citations

12.

Swarup, Vivek & Emily Miyoshi. (2021). Rogue gene networks gone awry in Alzheimer's disease. Neural Regeneration Research. 16(12). 2415–2415. 1 indexed citations

13.

Swarup, Vivek, Samuel Morabito, Emily Miyoshi, et al.. (2021). Single‐cell multi‐omics analysis identifies dynamic regulation of SREBF1 in Alzheimer’s disease. Alzheimer s & Dementia. 17(S3). 1 indexed citations

14.

Morabito, Samuel, Emily Miyoshi, Neethu Michael, & Vivek Swarup. (2020). Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer’s disease. Human Molecular Genetics. 29(17). 2899–2919. 44 indexed citations

15.

Bilousova, Tina, Mikhail Melnik, Emily Miyoshi, et al.. (2019). Apolipoprotein E/Amyloid-β Complex Accumulates in Alzheimer Disease Cortical Synapses via Apolipoprotein E Receptors and Is Enhanced by APOE4. American Journal Of Pathology. 189(8). 1621–1636. 36 indexed citations

16.

Bilousova, Tina, Emily Miyoshi, Chunni Zhu, et al.. (2018). Suppression of tau propagation using an inhibitor that targets the DK-switch of nSMase2. Biochemical and Biophysical Research Communications. 499(4). 751–757. 29 indexed citations

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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