Samuel Morabito

2.3k total citations · 2 hit papers
14 papers, 840 citations indexed

About

Samuel Morabito is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Samuel Morabito has authored 14 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Physiology. Recurrent topics in Samuel Morabito's work include Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (5 papers) and Alzheimer's disease research and treatments (3 papers). Samuel Morabito is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Single-cell and spatial transcriptomics (5 papers) and Alzheimer's disease research and treatments (3 papers). Samuel Morabito collaborates with scholars based in United States, China and United Kingdom. Samuel Morabito's co-authors include Vivek Swarup, Emily Miyoshi, 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 Neuron, Nature Genetics and Scientific Reports.

In The Last Decade

Samuel Morabito

12 papers receiving 833 citations

Hit Papers

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

  1. Single-nucleus chromatin accessibility and transcriptomic characterization of Alzheimer’s disease
    2021 339 citations Samuel Morabito, Emily Miyoshi et al. Nature Genetics profile →
  2. hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data
    2023 260 citations Samuel Morabito, Fairlie Reese et al. Cell Reports Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel Morabito United States 8 528 217 148 140 116 14 840
Emily Miyoshi United States 8 514 1.0× 193 0.9× 146 1.0× 150 1.1× 107 0.9× 16 783
Regina H. Reynolds United Kingdom 12 341 0.6× 164 0.8× 99 0.7× 137 1.0× 89 0.8× 26 741
Kun Leng United States 9 485 0.9× 343 1.6× 91 0.6× 229 1.6× 73 0.6× 16 905
Ying-Wooi Wan United States 10 610 1.2× 241 1.1× 139 0.9× 193 1.4× 334 2.9× 10 1.1k
Xianxiao Zhou United States 14 458 0.9× 145 0.7× 56 0.4× 187 1.3× 81 0.7× 34 751
Chia-Yi Kuan United States 19 402 0.8× 257 1.2× 149 1.0× 100 0.7× 72 0.6× 37 981
Brendan T. Innes Canada 9 610 1.2× 258 1.2× 160 1.1× 109 0.8× 121 1.0× 13 950
Parham Nejad United States 9 583 1.1× 324 1.5× 167 1.1× 248 1.8× 280 2.4× 18 1.0k
Idoia Blanco‐Luquin Spain 18 375 0.7× 91 0.4× 206 1.4× 101 0.7× 149 1.3× 40 730
Patrick Ventura United States 11 494 0.9× 323 1.5× 233 1.6× 120 0.9× 132 1.1× 11 1.1k

Countries citing papers authored by Samuel Morabito

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Morabito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Morabito

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

All Works

14 of 14 papers shown
1.
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.
2.
Childs, Jessica E., Samuel Morabito, Victoria C. Pham, et al.. (2024). Relapse to cocaine seeking is regulated by medial habenula NR4A2/NURR1 in mice. Cell Reports. 43(3). 113956–113956. 4 indexed citations
3.
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 →
4.
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).
5.
Morabito, Samuel, et al.. (2022). Cortical diurnal rhythms remain intact with microglial depletion. Scientific Reports. 12(1). 114–114. 29 indexed citations
6.
Otero‐García, Marcos, Sameehan Mahajani, Debia Wakhloo, et al.. (2022). Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer’s disease. Neuron. 110(18). 2929–2948.e8. 108 indexed citations
7.
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
8.
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
9.
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, 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
11.
Morabito, Samuel, et al.. (2021). swaruplabUCI/Single-nuclei-epigenomic-and-transcriptomic-landscape-in-Alzheimer-disease: publication. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
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
13.
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
14.
Chen, Weiyan, Samuel Morabito, Kai Kessenbrock, et al.. (2019). Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome. Communications Biology. 2(1). 306–306. 38 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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