Anna Tigano

2.0k total citations · 1 hit paper
22 papers, 797 citations indexed

About

Anna Tigano is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Anna Tigano has authored 22 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 11 papers in Ecology and 9 papers in Molecular Biology. Recurrent topics in Anna Tigano's work include Genetic diversity and population structure (14 papers), Genomics and Phylogenetic Studies (8 papers) and Avian ecology and behavior (6 papers). Anna Tigano is often cited by papers focused on Genetic diversity and population structure (14 papers), Genomics and Phylogenetic Studies (8 papers) and Avian ecology and behavior (6 papers). Anna Tigano collaborates with scholars based in United States, Canada and Australia. Anna Tigano's co-authors include Vicki L. Friesen, Rebekah A. Oomen, Claire Mérot, Maren Wellenreuther, Matthew D. MacManes, Jocelyn P. Colella, Nina Overgaard Therkildsen, Aryn P. Wilder, Arne Jacobs and Michael A. Russello and has published in prestigious journals such as Trends in Ecology & Evolution, Evolution and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Anna Tigano

21 papers receiving 787 citations

Hit Papers

Genomics of local adaptation with gene flow 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Tigano United States 12 540 269 252 135 129 22 797
Josephine R. Paris United Kingdom 11 456 0.8× 233 0.9× 235 0.9× 95 0.7× 159 1.2× 28 784
Hernán E. Morales Denmark 17 687 1.3× 325 1.2× 289 1.1× 124 0.9× 169 1.3× 34 948
Ludovic Dutoit New Zealand 15 617 1.1× 264 1.0× 220 0.9× 122 0.9× 185 1.4× 45 861
Angel G. Rivera‐Colón United States 9 528 1.0× 306 1.1× 300 1.2× 156 1.2× 191 1.5× 17 936
Rémi Allio France 9 369 0.7× 349 1.3× 175 0.7× 100 0.7× 220 1.7× 15 746
Marina Rafajlović Sweden 14 667 1.2× 236 0.9× 235 0.9× 129 1.0× 218 1.7× 30 925
Lukáš Choleva Czechia 20 701 1.3× 231 0.9× 249 1.0× 282 2.1× 204 1.6× 42 1.1k
Elizabeth C. Bourne Germany 8 331 0.6× 277 1.0× 259 1.0× 269 2.0× 199 1.5× 9 824
Vikas Kumar India 11 308 0.6× 250 0.9× 270 1.1× 86 0.6× 116 0.9× 40 672
Ryan K. Waples United States 17 842 1.6× 327 1.2× 303 1.2× 157 1.2× 150 1.2× 21 1.1k

Countries citing papers authored by Anna Tigano

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tigano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Tigano

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Tigano. A scholar is included among the top collaborators of Anna Tigano 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 Anna Tigano. Anna Tigano 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.
Oomen, Rebekah A., et al.. (2026). A Beginner's Guide to Structural Variants in Eco‐Evolutionary Population Genomics. Molecular Ecology. 35(2). e70216–e70216.
2.
3.
Jacobs, Arne, Jonathan P. Velotta, Anna Tigano, et al.. (2024). Temperature-dependent gene regulatory divergence underlies local adaptation with gene flow in the Atlantic silverside. Evolution. 78(6). 1133–1149. 6 indexed citations
4.
Tigano, Anna, Hillary G. M. Ward, Marika Kirstin Gale, et al.. (2023). Genomic vulnerability of a freshwater salmonid under climate change. Evolutionary Applications. 17(2). e13602–e13602. 17 indexed citations
6.
Tigano, Anna & Michael A. Russello. (2022). The genomic basis of reproductive and migratory behaviour in a polymorphic salmonid. Molecular Ecology. 31(24). 6588–6604. 10 indexed citations
7.
Tigano, Anna, Arne Jacobs, Aryn P. Wilder, et al.. (2021). Chromosome-Level Assembly of the Atlantic Silverside Genome Reveals Extreme Levels of Sequence Diversity and Structural Genetic Variation. Genome Biology and Evolution. 13(6). 25 indexed citations
8.
Huffeldt, Nicholas Per, Anna Tigano, Kjell Einar Erikstad, et al.. (2021). The relationship between daily behavior, hormones, and a color dimorphism in a seabird under natural continuous light. Hormones and Behavior. 130. 104930–104930. 6 indexed citations
9.
Tigano, Anna, et al.. (2021). Do candidate genes for migration and behavior explain migratory variation in bluebirds (Sialia spp.)?. The Wilson Journal of Ornithology. 132(4). 1 indexed citations
10.
Colella, Jocelyn P., Anna Tigano, Olga Dudchenko, et al.. (2021). Limited Evidence for Parallel Evolution Among Desert-AdaptedPeromyscusDeer Mice. Journal of Heredity. 112(3). 286–302. 11 indexed citations
11.
Tigano, Anna, Jocelyn P. Colella, & Matthew D. MacManes. (2020). Comparative and population genomics approaches reveal the basis of adaptation to deserts in a small rodent. Molecular Ecology. 29(7). 1300–1314. 34 indexed citations
12.
Colella, Jocelyn P., Anna Tigano, & Matthew D. MacManes. (2020). A linked‐read approach to museomics: Higher quality de novo genome assemblies from degraded tissues. Molecular Ecology Resources. 20(4). 856–870. 16 indexed citations
13.
Mérot, Claire, Rebekah A. Oomen, Anna Tigano, & Maren Wellenreuther. (2020). A Roadmap for Understanding the Evolutionary Significance of Structural Genomic Variation. Trends in Ecology & Evolution. 35(7). 561–572. 202 indexed citations
14.
Tigano, Anna, et al.. (2020). Do candidate genes for migration and behavior explain migratory variation in bluebirds ( Sialia spp.)?. The Wilson Journal of Ornithology. 132(4). 820–829. 3 indexed citations
15.
Tigano, Anna, et al.. (2019). Hybridization does not currently pose conservation concerns to murres in the Atlantic. Conservation Genetics. 20(6). 1465–1470. 10 indexed citations
16.
Tigano, Anna, Timothy B. Sackton, & Vicki L. Friesen. (2017). Assembly and RNA‐free annotation of highly heterozygous genomes: The case of the thick‐billed murre (Uria lomvia). Molecular Ecology Resources. 18(1). 79–90. 11 indexed citations
17.
Tigano, Anna, Allison J. Shultz, Scott V. Edwards, Gregory J. Robertson, & Vicki L. Friesen. (2017). Outlier analyses to test for local adaptation to breeding grounds in a migratory arctic seabird. Ecology and Evolution. 7(7). 2370–2381. 25 indexed citations
18.
Tigano, Anna & Vicki L. Friesen. (2016). Genomics of local adaptation with gene flow. Molecular Ecology. 25(10). 2144–2164. 301 indexed citations breakdown →
19.
Toews, David P. L., Leonardo Campagna, Scott A. Taylor, et al.. (2015). Genomic approaches to understanding population divergence and speciation in birds. The Auk. 133(1). 13–30. 63 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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