Paula E. Adams

419 total citations
9 papers, 264 citations indexed

About

Paula E. Adams is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Paula E. Adams has authored 9 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Aging. Recurrent topics in Paula E. Adams's work include Genetic diversity and population structure (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Paula E. Adams is often cited by papers focused on Genetic diversity and population structure (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Paula E. Adams collaborates with scholars based in United States, Australia and France. Paula E. Adams's co-authors include Frederick I. Archer, Zachariah Gompert, Elizabeth G. Mandeville, Thomas L. Parchman, C. Alex Buerkle, Dorothea Lindtke, Janna L. Fierst, Jeremiah A. Henning, Jason Pienaar and John H. Willis and has published in prestigious journals such as Molecular Biology and Evolution, Molecular Ecology Resources and PeerJ.

In The Last Decade

Paula E. Adams

6 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula E. Adams United States 5 166 117 68 61 40 9 264
Jose L. Mijangos Australia 5 155 0.9× 106 0.9× 42 0.6× 74 1.2× 74 1.9× 6 274
Sarah L. Emel United States 9 183 1.1× 141 1.2× 33 0.5× 62 1.0× 88 2.2× 11 299
Shotaro Hirase Japan 11 212 1.3× 130 1.1× 132 1.9× 42 0.7× 34 0.8× 29 329
Veronika Bartáková Czechia 10 80 0.5× 178 1.5× 38 0.6× 132 2.2× 38 0.9× 26 324
Yoann Anciaux France 4 294 1.8× 94 0.8× 126 1.9× 64 1.0× 100 2.5× 4 406
Sarah Schmid Switzerland 10 165 1.0× 134 1.1× 122 1.8× 67 1.1× 91 2.3× 16 323
Maud C. Quinzin United States 8 90 0.5× 61 0.5× 41 0.6× 58 1.0× 37 0.9× 13 155
Yi‐Hsin Erica Tsai United States 7 95 0.6× 54 0.5× 93 1.4× 35 0.6× 111 2.8× 7 231
Christina D. Vojta United States 7 120 0.7× 169 1.4× 37 0.5× 67 1.1× 50 1.3× 9 287
Graciela Sotelo Spain 12 187 1.1× 186 1.6× 114 1.7× 82 1.3× 54 1.4× 24 401

Countries citing papers authored by Paula E. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Paula E. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula E. Adams. 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 Paula E. Adams. The network helps show where Paula E. Adams may publish in the future.

Co-authorship network of co-authors of Paula E. Adams

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

All Works

9 of 9 papers shown
1.
Quackenbush, Corey R., Chris J. Cornelius, Paula E. Adams, et al.. (2025). Embryonic thermal environments drive plasticity in gene expression. Fish Physiology and Biochemistry. 51(3). 111–111.
2.
Adams, Paula E., et al.. (2025). Student Perceptions on the Value of an Ideologically Aware Curriculum. CBE—Life Sciences Education. 24(3). ar31–ar31.
3.
Adams, Paula E., et al.. (2024). Teaching at the intersection of science and society: An activity on healthcare disparities. Biology Methods and Protocols. 9(1). bpad041–bpad041.
4.
Adams, Paula E., et al.. (2024). Identifying transgene insertions in Caenorhabditis elegans genomes with Oxford Nanopore sequencing. PeerJ. 12. e18100–e18100. 1 indexed citations
5.
Adams, Paula E., et al.. (2023). Genome Size Changes by Duplication, Divergence, and Insertion inCaenorhabditisWorms. Molecular Biology and Evolution. 40(3). 5 indexed citations
6.
Adams, Paula E., et al.. (2023). Embracing the inclusion of societal concepts in biology improves student understanding. Frontiers in Education. 8. 7 indexed citations
7.
Adams, Paula E., et al.. (2021). Slow Recovery from Inbreeding Depression Generated by the Complex Genetic Architecture of Segregating Deleterious Mutations. Molecular Biology and Evolution. 39(1). 7 indexed citations
8.
Adams, Paula E., Dorothea Lindtke, Elizabeth G. Mandeville, et al.. (2021). Model‐based genotype and ancestry estimation for potential hybrids with mixed‐ploidy. Molecular Ecology Resources. 21(5). 1434–1451. 41 indexed citations
9.
Archer, Frederick I., et al.. (2016). stratag: An r package for manipulating, summarizing and analysing population genetic data. Molecular Ecology Resources. 17(1). 5–11. 203 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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