Matthew L Speir

28 total papers · 7.3k total citations
10 papers, 1.1k citations indexed

About

Matthew L Speir is a scholar working on Molecular Biology, Infectious Diseases and Condensed Matter Physics. According to data from OpenAlex, Matthew L Speir has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Condensed Matter Physics. Recurrent topics in Matthew L Speir's work include Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (2 papers) and Gene expression and cancer classification (2 papers). Matthew L Speir is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (2 papers) and Gene expression and cancer classification (2 papers). Matthew L Speir collaborates with scholars based in United States, United Kingdom and Germany. Matthew L Speir's co-authors include Maximilian Haeussler, Brian J. Raney, Angie S. Hinrichs, Jonathan D. Casper, Hiram Clawson, Ann S. Zweig, David Haussler, Jairo Navarro Gonzalez, Mark Diekhans and Galt P Barber and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Cell stem cell.

In The Last Decade

Matthew L Speir

8 papers receiving 1.1k citations

Hit Papers

The UCSC Genome Browser d... 2018 2026 2020 2023 2018 2024 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Matthew L Speir 785 218 217 132 93 10 1.1k
David K. Han 925 1.2× 79 0.4× 133 0.6× 182 1.4× 72 0.8× 16 1.3k
Jeff Delrow 839 1.1× 101 0.5× 134 0.6× 259 2.0× 55 0.6× 14 1.2k
Austin Hartman 725 0.9× 76 0.3× 166 0.8× 307 2.3× 79 0.8× 9 1.3k
Solenne Correard 994 1.3× 188 0.9× 259 1.2× 154 1.2× 28 0.3× 5 1.3k
Rachael A. McCloy 702 0.9× 125 0.6× 109 0.5× 76 0.6× 39 0.4× 21 1.1k
Arwa S. Kathiria 887 1.1× 111 0.5× 242 1.1× 200 1.5× 45 0.5× 14 1.2k
Sopheak Sim 1.1k 1.4× 135 0.6× 237 1.1× 116 0.9× 26 0.3× 10 1.4k
Alain Mir 924 1.2× 163 0.7× 168 0.8× 168 1.3× 25 0.3× 14 1.4k
Hatice Özel Abaan 805 1.0× 247 1.1× 185 0.9× 47 0.4× 23 0.2× 14 1.1k
Samuel Rogers 717 0.9× 91 0.4× 94 0.4× 77 0.6× 46 0.5× 20 1.2k

Countries citing papers authored by Matthew L Speir

Since Specialization
Citations

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

Fields of papers citing papers by Matthew L Speir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew L Speir

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L Speir. A scholar is included among the top collaborators of Matthew L Speir 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 L Speir. Matthew L Speir 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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