Matt Pennell

419 total citations
14 papers, 165 citations indexed

About

Matt Pennell is a scholar working on Genetics, Paleontology and Molecular Biology. According to data from OpenAlex, Matt Pennell has authored 14 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Paleontology and 6 papers in Molecular Biology. Recurrent topics in Matt Pennell's work include Evolution and Paleontology Studies (7 papers), Genetic diversity and population structure (4 papers) and Genomics and Phylogenetic Studies (4 papers). Matt Pennell is often cited by papers focused on Evolution and Paleontology Studies (7 papers), Genetic diversity and population structure (4 papers) and Genomics and Phylogenetic Studies (4 papers). Matt Pennell collaborates with scholars based in United States, Canada and Norway. Matt Pennell's co-authors include L. Francisco Henao‐Díaz, Corey T. Watson, Victor Greiff, Oscar L. Rodriguez, Stilianos Louca, Jianzhi Zhang, Michael D. Edge, R. Alexander Pyron, Joshua G. Schraiber and Shanyun Wu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matt Pennell

14 papers receiving 163 citations

Peers

Matt Pennell
Josephine Hyde Australia
Priscilla A. Erickson United States
Venelin Mitov Switzerland
Leonard N. Jones United States
Panyi Li Denmark
Matt Pennell
Citations per year, relative to Matt Pennell Matt Pennell (= 1×) peers Fabrícia F. Nascimento

Countries citing papers authored by Matt Pennell

Since Specialization
Citations

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

Fields of papers citing papers by Matt Pennell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Pennell

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Pennell. A scholar is included among the top collaborators of Matt Pennell 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 Matt Pennell. Matt Pennell 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.
Zhu, Yixin, Corey T. Watson, Yana Safonova, Matt Pennell, & Anton Bankevich. (2025). CloseRead: a tool for assessing assembly errors in immunoglobulin loci applied to vertebrate long-read genome assemblies. Genome biology. 26(1). 131–131. 1 indexed citations
2.
Harrison, Marie‐Claire, Dana A. Opulente, Abigail L. LaBella, et al.. (2024). Saccharomycotina yeasts defy long-standing macroecological patterns. Proceedings of the National Academy of Sciences. 121(10). e2316031121–e2316031121. 5 indexed citations
3.
Pennell, Matt, et al.. (2024). The macroevolutionary adaptive landscape: more than a metaphor?. Evolution. 78(4). 792–795. 1 indexed citations
4.
Schraiber, Joshua G., Michael D. Edge, & Matt Pennell. (2024). Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations. PLoS Biology. 22(10). e3002847–e3002847. 12 indexed citations
5.
Rolland, Jonathan, L. Francisco Henao‐Díaz, Michael Doebeli, et al.. (2023). Conceptual and empirical bridges between micro- and macroevolution. Nature Ecology & Evolution. 7(8). 1181–1193. 39 indexed citations
6.
Zhang, Jianzhi, et al.. (2023). On the Decoupling of Evolutionary Changes in mRNA and Protein Levels. Molecular Biology and Evolution. 40(8). 22 indexed citations
7.
Pennell, Matt. (2023). Genes are often uninformative for dating species’ origins. Nature. 624(7990). 51–52. 1 indexed citations
8.
Wu, Shanyun, et al.. (2023). Evaluating the Performance of Widely Used Phylogenetic Models for Gene Expression Evolution. Genome Biology and Evolution. 15(12). 10 indexed citations
9.
Pennell, Matt, et al.. (2023). Synthesizing the phylogenetic evidence for mutualism-associated diversification. Evolution. 77(8). 1882–1892. 1 indexed citations
10.
Henao‐Díaz, L. Francisco & Matt Pennell. (2023). The Major Features of Macroevolution. Systematic Biology. 72(5). 1188–1198. 4 indexed citations
11.
Pennell, Matt, Oscar L. Rodriguez, Corey T. Watson, & Victor Greiff. (2022). The evolutionary and functional significance of germline immunoglobulin gene variation. Trends in Immunology. 44(1). 7–21. 30 indexed citations
12.
Garcia‐Porta, Joan, Daniel Sol, Matt Pennell, et al.. (2022). Niche expansion and adaptive divergence in the global radiation of crows and ravens. Nature Communications. 13(1). 2086–2086. 14 indexed citations
13.
Louca, Stilianos, L. Francisco Henao‐Díaz, & Matt Pennell. (2022). The scaling of diversification rates with age is likely explained by sampling bias. Evolution. 76(7). 1625–1637. 17 indexed citations
14.
Pyron, R. Alexander & Matt Pennell. (2022). Macroevolutionary perspectives on Anthropocene extinction. Biological Conservation. 274. 109733–109733. 8 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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