Tyler K. Chafin

573 total citations
20 papers, 316 citations indexed

About

Tyler K. Chafin is a scholar working on Genetics, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Tyler K. Chafin has authored 20 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Nature and Landscape Conservation. Recurrent topics in Tyler K. Chafin's work include Genetic diversity and population structure (13 papers), Genomics and Phylogenetic Studies (7 papers) and Fish Ecology and Management Studies (5 papers). Tyler K. Chafin is often cited by papers focused on Genetic diversity and population structure (13 papers), Genomics and Phylogenetic Studies (7 papers) and Fish Ecology and Management Studies (5 papers). Tyler K. Chafin collaborates with scholars based in United States and United Kingdom. Tyler K. Chafin's co-authors include Marlis R. Douglas, Michael E. Douglas, Steven M. Mussmann, John S. Placyk, Jeffery R. Stone, Matthew L. Julius, Don White, Andrew J. Alverson, Kalina M. Manoylov and Julie E. Claussen and has published in prestigious journals such as Bioinformatics, PLoS ONE and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Tyler K. Chafin

19 papers receiving 312 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 K. Chafin United States 10 186 120 106 72 49 20 316
Steven M. Mussmann United States 10 187 1.0× 121 1.0× 83 0.8× 98 1.4× 51 1.0× 22 325
Paula E. Adams United States 5 166 0.9× 117 1.0× 68 0.6× 61 0.8× 40 0.8× 9 264
Yoann Anciaux France 4 294 1.6× 94 0.8× 126 1.2× 64 0.9× 100 2.0× 4 406
Sandra L. Hoffberg United States 6 158 0.8× 74 0.6× 93 0.9× 67 0.9× 55 1.1× 8 265
Tjard Bergmann Germany 10 101 0.5× 121 1.0× 135 1.3× 52 0.7× 64 1.3× 14 306
Deborah M. Leigh Switzerland 11 249 1.3× 175 1.5× 81 0.8× 58 0.8× 80 1.6× 22 420
Jose L. Mijangos Australia 5 155 0.8× 106 0.9× 42 0.4× 74 1.0× 74 1.5× 6 274
Remi Matthey‐Doret Canada 7 285 1.5× 94 0.8× 101 1.0× 74 1.0× 117 2.4× 8 427
Claire Peart United Kingdom 7 241 1.3× 154 1.3× 164 1.5× 120 1.7× 68 1.4× 11 432
Sergio Tusso Germany 9 244 1.3× 91 0.8× 214 2.0× 42 0.6× 85 1.7× 18 408

Countries citing papers authored by Tyler K. Chafin

Since Specialization
Citations

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

Fields of papers citing papers by Tyler K. Chafin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler K. Chafin

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

All Works

20 of 20 papers shown
1.
Douglas, Marlis R., et al.. (2023). A community genomics approach to natural hybridization. Proceedings of the Royal Society B Biological Sciences. 290(1999). 20230768–20230768. 8 indexed citations
2.
Mussmann, Steven M., Marlis R. Douglas, Tyler K. Chafin, & Michael E. Douglas. (2023). AdmixPipe v3: facilitating population structure delimitation from SNP data. Bioinformatics Advances. 3(1). vbad168–vbad168. 2 indexed citations
3.
Douglas, Marlis R., et al.. (2022). Riverscape community genomics: A comparative analytical approach to identify common drivers of spatial structure. Molecular Ecology. 32(24). 6743–6765. 7 indexed citations
4.
5.
Douglas, Marlis R., Marlis R. Douglas, Steven M. Mussmann, et al.. (2021). Population connectivity in voles (Microtus sp.) as a gauge for tall grass prairie restoration in midwestern North America. PLoS ONE. 16(12). e0260344–e0260344.
6.
Chafin, Tyler K., et al.. (2021). The choices we make and the impacts they have: Machine learning and species delimitation in North American box turtles ( Terrapene spp.). Molecular Ecology Resources. 21(8). 2801–2817. 10 indexed citations
7.
Chafin, Tyler K., Marlis R. Douglas, Brian K. Sullivan, et al.. (2021). Taxonomic hypotheses and the biogeography of speciation in the Tiger Whiptail complex (Aspidoscelis tigris: Squamata, Teiidae). Frontiers of Biogeography. 13(2). 1 indexed citations
8.
Douglas, Marlis R., et al.. (2021). Are populations of economically important bonefish and queen conch 'open' or 'closed' in the northern caribbean basin?. Marine Ecology. 42(2). 6 indexed citations
9.
Chafin, Tyler K., et al.. (2021). ClineHelpR: an R package for genomic cline outlier detection and visualization. BMC Bioinformatics. 22(1). 501–501. 11 indexed citations
10.
Alverson, Andrew J., Tyler K. Chafin, Kalina M. Manoylov, et al.. (2021). Microbial biogeography through the lens of exotic species: the recent introduction and spread of the freshwater diatom Discostella asterocostata in the United States. Biological Invasions. 23(7). 2191–2204. 9 indexed citations
11.
Douglas, Marlis R., et al.. (2020). Contrasting signatures of introgression in North American box turtle ( Terrapene spp.) contact zones. Molecular Ecology. 29(21). 4186–4202. 13 indexed citations
12.
Chafin, Tyler K., et al.. (2020). Age structuring and spatial heterogeneity in prion protein gene ( PRNP ) polymorphism in white-tailed deer. Prion. 14(1). 238–248. 10 indexed citations
13.
Chafin, Tyler K.. (2020). FGTpartitioner: A rapid method for parsimonious delimitation of ancestry breakpoints in large genome-wide SNP datasets. The Journal of Open Source Software. 5(46). 2030–2030. 1 indexed citations
14.
Mussmann, Steven M., Marlis R. Douglas, Tyler K. Chafin, & Michael E. Douglas. (2020). AdmixPipe: population analyses in Admixture for non-model organisms. BMC Bioinformatics. 21(1). 337–337. 36 indexed citations
15.
16.
Mussmann, Steven M., Marlis R. Douglas, Tyler K. Chafin, & Michael E. Douglas. (2019). BA3‐SNPs: Contemporary migration reconfigured in BayesAss for next‐generation sequence data. Methods in Ecology and Evolution. 10(10). 1808–1813. 129 indexed citations
17.
Chafin, Tyler K., et al.. (2019). Hybridization drives genetic erosion in sympatric desert fishes of western North America. Heredity. 123(6). 759–773. 21 indexed citations
18.
Chafin, Tyler K., Marlis R. Douglas, & Michael E. Douglas. (2018). MrBait: universal identification and design of targeted-enrichment capture probes. Bioinformatics. 34(24). 4293–4296. 14 indexed citations
19.
Hancock, David Y., Craig A. Stewart, Matthew Vaughn, et al.. (2018). Jetstream—Early operations performance, adoption, and impacts. Concurrency and Computation Practice and Experience. 31(16). 5 indexed citations
20.
Chafin, Tyler K., et al.. (2017). FRAGMATIC: in silico locus prediction and its utility in optimizing ddRADseq projects. Conservation Genetics Resources. 10(3). 325–328. 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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