Matthew R. Stone

22 total papers · 3.5k total citations
5 papers, 525 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 525 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. Matthew R. Stone's co-authors include Sarah E. Taylor, Stephen R. Williams, Thomas H. Pulliam, Paul Nghiem, Kimberly S. Smythe, Edward Zhao, Jason H. Bielas, Xing Ren, Jamie Guenthoer and Raphaël Gottardo 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 506 citations

Hit Papers

Spatial transcriptomics a... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Matthew R. Stone 445 92 77 68 60 5 525
Danila Bredikhin 523 1.2× 61 0.7× 92 1.2× 81 1.2× 39 0.7× 7 617
Jonathan Alles 520 1.2× 68 0.7× 102 1.3× 63 0.9× 24 0.4× 7 576
Vince Carey 387 0.9× 100 1.1× 104 1.4× 65 1.0× 29 0.5× 4 503
Chantriolnt-Andreas Kapourani 495 1.1× 55 0.6× 109 1.4× 57 0.8× 52 0.9× 5 521
Lambda Moses 458 1.0× 110 1.2× 88 1.1× 77 1.1× 20 0.3× 2 534
Tal Ashuach 421 0.9× 65 0.7× 60 0.8× 51 0.8× 63 1.1× 10 498
Dario Bressan 347 0.8× 62 0.7× 113 1.5× 54 0.8× 29 0.5× 9 455
Jonathan E. Burnett 520 1.2× 51 0.6× 105 1.4× 50 0.7× 63 1.1× 7 607
Alev Baysoy 370 0.8× 105 1.1× 100 1.3× 51 0.8× 43 0.7× 4 550
Kristof Törkenczy 525 1.2× 61 0.7× 158 2.1× 52 0.8× 57 0.9× 10 590

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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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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