Tyler Linderoth

1.8k total citations
18 papers, 1.0k citations indexed

About

Tyler Linderoth is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Tyler Linderoth has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Ecology and 7 papers in Molecular Biology. Recurrent topics in Tyler Linderoth's work include Genetic diversity and population structure (9 papers), Animal Behavior and Reproduction (4 papers) and Environmental DNA in Biodiversity Studies (4 papers). Tyler Linderoth is often cited by papers focused on Genetic diversity and population structure (9 papers), Animal Behavior and Reproduction (4 papers) and Environmental DNA in Biodiversity Studies (4 papers). Tyler Linderoth collaborates with scholars based in United States, Denmark and United Kingdom. Tyler Linderoth's co-authors include Rasmus Nielsen, Ke Bi, Craig Moritz, Jeffrey M. Good, Dan Vanderpool, Matteo Fumagalli, Filipe Garrett Vieira, Sonal Singhal, Emilia Huerta‐Sánchez and Anders Albrechtsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Current Biology.

In The Last Decade

Tyler Linderoth

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Linderoth United States 9 615 446 351 199 141 18 1.0k
Angel G. Rivera‐Colón United States 9 528 0.9× 306 0.7× 300 0.9× 191 1.0× 78 0.6× 17 936
Christelle Fraïssé France 15 746 1.2× 319 0.7× 271 0.8× 224 1.1× 65 0.5× 26 1.0k
Isaac Overcast United States 14 502 0.8× 298 0.7× 322 0.9× 356 1.8× 198 1.4× 22 1.0k
Jelmer W. Poelstra United States 17 843 1.4× 507 1.1× 382 1.1× 395 2.0× 96 0.7× 37 1.5k
Krystyna Nadachowska‐Brzyska Sweden 14 1.2k 2.0× 564 1.3× 375 1.1× 293 1.5× 155 1.1× 20 1.5k
Nicolas C. Rochette United States 8 809 1.3× 525 1.2× 468 1.3× 312 1.6× 146 1.0× 9 1.4k
Christen M. Bossu United States 12 748 1.2× 327 0.7× 295 0.8× 256 1.3× 85 0.6× 32 1.1k
Jagoba Malumbres‐Olarte Finland 13 366 0.6× 250 0.6× 285 0.8× 256 1.3× 159 1.1× 42 877
Martin C. Fischer Switzerland 19 751 1.2× 290 0.7× 322 0.9× 359 1.8× 133 0.9× 33 1.2k
Mozes P. K. Blom Germany 17 528 0.9× 368 0.8× 226 0.6× 227 1.1× 173 1.2× 45 932

Countries citing papers authored by Tyler Linderoth

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Linderoth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Linderoth

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

All Works

18 of 18 papers shown
1.
Linderoth, Tyler, et al.. (2026). Selection-driven color variation in the aposematic strawberry poison frog, Oophaga pumilio. Current Biology. 36(6). 1355–1372.e8.
2.
Linderoth, Tyler, et al.. (2025). Translocations spur population growth but fail to prevent genetic erosion in imperiled Florida Scrub-Jays. Current Biology. 35(6). 1391–1399.e6. 2 indexed citations
3.
Carruthers, Madeleine, Karen L. Carleton, Tyler Linderoth, et al.. (2025). Rapid Divergence of Visual Systems and Signaling Traits to Contrasting Light Regimes During Early Speciation of African Crater Lake Cichlid Fish. Molecular Biology and Evolution. 42(9).
4.
Linderoth, Tyler, et al.. (2025). Translocations contribute to population rescue in an imperiled woodpecker. Proceedings of the National Academy of Sciences. 122(31). e2410946122–e2410946122.
5.
Stuckert, Adam M. M., Mélanie McClure, Tyler Linderoth, et al.. (2024). The genomics of mimicry: Gene expression throughout development provides insights into convergent and divergent phenotypes in a Müllerian mimicry system. Molecular Ecology. 33(14). e17438–e17438. 2 indexed citations
6.
Kishe, Mary A., Asilatu Shechonge, Benjamin P. Ngatunga, et al.. (2023). Nuclear environmental DNA resolves fine-scale population genetic structure in an aquatic habitat. iScience. 27(1). 108669–108669. 5 indexed citations
7.
Armstrong, Ellie E., Benoît Perez‐Lamarque, Ke Bi, et al.. (2021). A holobiont view of island biogeography: Unravelling patterns driving the nascent diversification of a Hawaiian spider and its microbial associates. Molecular Ecology. 31(4). 1299–1316. 7 indexed citations
8.
9.
López, María E., Tyler Linderoth, Ashie Norris, et al.. (2019). Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres. Frontiers in Genetics. 10. 901–901. 31 indexed citations
10.
Bi, Ke, Tyler Linderoth, Sonal Singhal, et al.. (2019). Temporal genomic contrasts reveal rapid evolutionary responses in an alpine mammal during recent climate change. PLoS Genetics. 15(5). e1008119–e1008119. 59 indexed citations
11.
Linderoth, Tyler. (2018). Identifying Population Histories, Adaptive Genes, and Genetic Duplication from Population-Scale Next Generation Sequencing. eScholarship (California Digital Library). 5 indexed citations
12.
Rogers, Rebekah L., Long Zhou, Chong Chu, et al.. (2014). Genomic takeover by transposable elements in the Strawberry poison frog. Molecular Biology and Evolution. 35(12). 2913–2927. 38 indexed citations
13.
Fumagalli, Matteo, Filipe Garrett Vieira, Tyler Linderoth, & Rasmus Nielsen. (2014). ngsTools: methods for population genetics analyses from next-generation sequencing data. Bioinformatics. 30(10). 1486–1487. 179 indexed citations
14.
Bi, Ke, Tyler Linderoth, Dan Vanderpool, et al.. (2013). Unlocking the vault: next‐generation museum population genomics. Molecular Ecology. 22(24). 6018–6032. 296 indexed citations
15.
Fumagalli, Matteo, Filipe Garrett Vieira, Thorfinn Sand Korneliussen, et al.. (2013). Quantifying Population Genetic Differentiation from Next-Generation Sequencing Data. Genetics. 195(3). 979–992. 157 indexed citations
16.
Tallmon, David A., et al.. (2013). Spatio-temporal population genetic structure and mating system of red king crab (Paralithodes camtschaticus) in Alaska. Journal of Crustacean Biology. 33(5). 691–701. 8 indexed citations
17.
Bi, Ke, Dan Vanderpool, Sonal Singhal, et al.. (2012). Transcriptome-based exon capture enables highly cost-effective comparative genomic data collection at moderate evolutionary scales. BMC Genomics. 13(1). 403–403. 211 indexed citations
18.
Whiteley, Andrew R., Carolyn Bergstrom, Tyler Linderoth, & David A. Tallmon. (2010). The spectre of past spectral conditions: colour plasticity, crypsis and predation risk in freshwater sculpin from newly deglaciated streams. Ecology Of Freshwater Fish. 20(1). 80–91. 15 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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