Paula C. Dias

23 total papers · 4.5k total citations
19 papers, 4.2k citations indexed

About

Paula C. Dias is a scholar working on Ecology, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Paula C. Dias has authored 19 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Molecular Biology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Paula C. Dias's work include Epigenetics and DNA Methylation (7 papers), Animal Behavior and Reproduction (7 papers) and Avian ecology and behavior (6 papers). Paula C. Dias is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Animal Behavior and Reproduction (7 papers) and Avian ecology and behavior (6 papers). Paula C. Dias collaborates with scholars based in France, Portugal and Sweden. Paula C. Dias's co-authors include Seppo Rytkönen, Laura Kvist, Markku Orell, Keijo Viiri, Jacques Blondel, Marcel M. Lambrechts, Philippe Perret, M. Maistre, Rui Henrique and Cármen Jerónimo and has published in prestigious journals such as Science, Trends in Ecology & Evolution and British Journal of Cancer.

In The Last Decade

Paula C. Dias

19 papers receiving 3.9k citations

Hit Papers

Glacial history and colon... 1996 2026 2006 2016 2004 1996 500 1000 1.5k 2.0k 2.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paula C. Dias 1.7k 1.6k 1.2k 1.1k 730 19 4.2k
Paschalia Kapli 1.3k 0.8× 1.2k 0.7× 1.2k 1.0× 1.3k 1.2× 602 0.8× 32 4.0k
Seppo Rytkönen 2.0k 1.2× 2.1k 1.3× 1.1k 0.9× 961 0.9× 557 0.8× 58 4.2k
April Wright 1.2k 0.7× 1.9k 1.1× 1.6k 1.3× 1.5k 1.3× 659 0.9× 33 5.0k
Tomochika Fujisawa 1.0k 0.6× 1.0k 0.6× 795 0.7× 1.1k 1.0× 476 0.7× 22 2.8k
Jessica Leigh 2.1k 1.3× 1.0k 0.6× 1.8k 1.5× 2.1k 1.9× 694 1.0× 14 5.7k
Ingo Michalak 745 0.4× 1.4k 0.8× 1.3k 1.1× 816 0.7× 424 0.6× 12 3.5k
Pavlos Pavlidis 1.2k 0.7× 1.1k 0.7× 1.5k 1.3× 2.0k 1.8× 587 0.8× 58 4.7k
David H. Lunt 1.4k 0.9× 799 0.5× 792 0.7× 1.1k 1.0× 710 1.0× 51 3.4k
Mark T. Holder 956 0.6× 1.1k 0.6× 2.0k 1.7× 1.5k 1.4× 540 0.7× 47 4.4k
Jonathan P. Bollback 1.4k 0.8× 1.7k 1.0× 2.4k 2.0× 2.0k 1.9× 624 0.9× 39 6.0k

Countries citing papers authored by Paula C. Dias

Since Specialization
Citations

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

Fields of papers citing papers by Paula C. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula C. Dias

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

All Works

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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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