Matthew R. Stone

3.5k total citations · 1 hit paper
5 papers, 536 citations indexed

About

Matthew R. Stone is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Matthew R. Stone has authored 5 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Matthew R. Stone's work include Genomics and Rare Diseases (3 papers), Single-cell and spatial transcriptomics (2 papers) and CRISPR and Genetic Engineering (2 papers). Matthew R. Stone is often cited by papers focused on Genomics and Rare Diseases (3 papers), Single-cell and spatial transcriptomics (2 papers) and CRISPR and Genetic Engineering (2 papers). Matthew R. Stone collaborates with scholars based in United States and South Africa. Matthew R. Stone's co-authors include Jamie Guenthoer, Edward Zhao, Stephen R. Williams, Kimberly S. Smythe, Thomas H. Pulliam, Xing Ren, Jason H. Bielas, Paul Nghiem, Raphaël Gottardo and Cedric R. Uytingco and has published in prestigious journals such as Nature Biotechnology, The American Journal of Human Genetics and European Neuropsychopharmacology.

In The Last Decade

Matthew R. Stone

5 papers receiving 518 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.

Spatial transcriptomics at subspot resolution with BayesSpace

2021 448 citations Edward Zhao, Matthew R. Stone et al. Nature Biotechnology profile →

Peers

Countries citing papers authored by Matthew R. Stone

Since Specialization

Citations

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

Fields of papers citing papers by Matthew R. Stone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Stone

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data 2023 ·G3 Genes Genomes Genetics ·Sunnie Grace McCalla, Alireza Fotuhi Siahpirani, Jiaxin Li, (unknown), Matthew R. Stone, (unknown), Junha Shin, Sushmita Roy	22
2	Spatial transcriptomics at subspot resolution with BayesSpace breakdown → 2021 ·Nature Biotechnology ·Edward Zhao, Matthew R. Stone, Xing Ren, Jamie Guenthoer, Kimberly S. Smythe, Thomas H. Pulliam, Stephen R. Williams, Cedric R. Uytingco, Sarah E. Taylor, Paul Nghiem, Jason H. Bielas, Raphaël Gottardo	448
3	LIMITED CONTRIBUTION OF RARE, NONCODING VARIATION TO AUTISM SPECTRUM DISORDER FROM SEQUENCING OF 2,076 GENOMES IN QUARTET FAMILIES 2019 ·European Neuropsychopharmacology ·Donna M. Werling, Harrison Brand, Joon‐Yong An, Matthew R. Stone, Joseph Glessner, Lingxue Zhu, Ryan L. Collins, Mark J. Daly, Matthew W. State, Aaron R. Quinlan, Gábor Marth, Kathryn Roeder, Bernie Devlin, Stephan Sanders, Michael E. Talkowski	2
4	Paired-Duplication Signatures Mark Cryptic Inversions and Other Complex Structural Variation 2015 ·The American Journal of Human Genetics ·Harrison Brand, Ryan L. Collins, Carrie Hanscom, Jill A. Rosenfeld, Vamsee Pillalamarri, Matthew R. Stone, (unknown), (unknown), Lauren Margolin, (unknown), Elyse Mitchell, Jennelle C. Hodge, James F. Gusella, Stephan Sanders, Michael E. Talkowski	37
5	Cryptic and Complex Chromosomal Aberrations in Early-Onset Neuropsychiatric Disorders 2014 ·The American Journal of Human Genetics ·Harrison Brand, Vamsee Pillalamarri, Ryan L. Collins, (unknown), Colm Ó'Dúshláine, Ellen B. Braaten, Matthew R. Stone, Kimberly Chambert, Nathan D. Doty, Carrie Hanscom, Jill A. Rosenfeld, (unknown), (unknown), Ryan E. Mills, Charles Lee, James F. Gusella, Steven A. McCarroll, Jordan W. Smoller, Michael E. Talkowski, Alysa E. Doyle	27

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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