Teia M. Schweizer

607 total citations
10 papers, 279 citations indexed

About

Teia M. Schweizer is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Teia M. Schweizer has authored 10 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Genetics. Recurrent topics in Teia M. Schweizer's work include Genetic diversity and population structure (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Avian ecology and behavior (2 papers). Teia M. Schweizer is often cited by papers focused on Genetic diversity and population structure (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Avian ecology and behavior (2 papers). Teia M. Schweizer collaborates with scholars based in United States, Norway and United Kingdom. Teia M. Schweizer's co-authors include A. Lücke, Jonathan Machta, Yongsoo Choi, Robert K. Wayne, Lincoln Chayes, Emily Curd, Zachary Gold, Paul H. Barber, Rachel S. Meyer and Daniel R. Stahler and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Teia M. Schweizer

8 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teia M. Schweizer United States 7 117 100 99 64 63 10 279
Viviane M. de Oliveira Brazil 13 49 0.4× 73 0.7× 53 0.5× 154 2.4× 18 0.3× 49 507
Wenping Cui United States 11 88 0.8× 77 0.8× 141 1.4× 40 0.6× 4 0.1× 15 417
Ada Altieri France 9 45 0.4× 39 0.4× 20 0.2× 39 0.6× 7 0.1× 16 218
Muriel Ney‐Nifle France 12 90 0.8× 148 1.5× 6 0.1× 45 0.7× 39 0.6× 14 358
Erik Van der Straeten Belgium 12 123 1.1× 18 0.2× 28 0.3× 164 2.6× 4 0.1× 34 402
Pablo Padilla Mexico 11 42 0.4× 23 0.2× 33 0.3× 23 0.4× 10 0.2× 28 290
Gaël Raoul France 11 15 0.1× 23 0.2× 35 0.4× 33 0.5× 49 0.8× 13 415
Malay Bandyopadhyay India 11 39 0.3× 17 0.2× 18 0.2× 49 0.8× 41 0.7× 26 705
Lea Popovic Canada 9 15 0.1× 15 0.1× 76 0.8× 26 0.4× 64 1.0× 19 233
Amandine Véber France 11 48 0.4× 16 0.2× 97 1.0× 12 0.2× 64 1.0× 24 480

Countries citing papers authored by Teia M. Schweizer

Since Specialization
Citations

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

Fields of papers citing papers by Teia M. Schweizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teia M. Schweizer. 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 Teia M. Schweizer. The network helps show where Teia M. Schweizer may publish in the future.

Co-authorship network of co-authors of Teia M. Schweizer

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

All Works

10 of 10 papers shown
1.
Bossu, Christen M., et al.. (2025). Factors underlying migratory timing of a seasonally migrating bird. Scientific Reports. 15(1). 8527–8527.
2.
Anderson, Eric C., Christen M. Bossu, Teia M. Schweizer, et al.. (2023). Low‐coverage whole genome sequencing for highly accurate population assignment: Mapping migratory connectivity in the American Redstart (Setophaga ruticilla). Molecular Ecology. 32(20). 5528–5540. 9 indexed citations
3.
Schweizer, Teia M., Christen M. Bossu, Daniel Cooper, et al.. (2023). Genetic identification of avian samples recovered from solar energy installations. PLoS ONE. 18(9). e0289949–e0289949.
4.
Schweizer, Teia M., et al.. (2023). Cost-effective library preparation for whole genome sequencing with feather DNA. Conservation Genetics Resources. 15(1-2). 21–28. 6 indexed citations
5.
Smith, W. J. Bernhard, Ashley T. Sendell‐Price, Annette L. Fayet, et al.. (2022). Limited domestic introgression in a final refuge of the wild pigeon. iScience. 25(7). 104620–104620. 9 indexed citations
6.
Gold, Zachary, Teia M. Schweizer, N. Dean Pentcheff, et al.. (2022). A manager’s guide to using eDNA metabarcoding in marine ecosystems. PeerJ. 10. e14071–e14071. 23 indexed citations
7.
Curd, Emily, Zachary Gold, Gaurav S. Kandlikar, et al.. (2019). Anacapa Toolkit : An environmental DNA toolkit for processing multilocus metabarcode datasets. Methods in Ecology and Evolution. 10(9). 1469–1475. 79 indexed citations
8.
Koch, Evan, Rena M. Schweizer, Teia M. Schweizer, et al.. (2019). De Novo Mutation Rate Estimation in Wolves of Known Pedigree. Molecular Biology and Evolution. 36(11). 2536–2547. 43 indexed citations
9.
Machta, Jonathan, et al.. (1996). Invaded cluster algorithm for Potts models. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 54(2). 1332–1345. 59 indexed citations
10.
Machta, Jonathan, Yongsoo Choi, A. Lücke, Teia M. Schweizer, & Lincoln Chayes. (1995). Invaded Cluster Algorithm for Equilibrium Critical Points. Physical Review Letters. 75(15). 2792–2795. 51 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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2026