Paula Tataru

765 total citations
14 papers, 416 citations indexed

About

Paula Tataru is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Paula Tataru has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Paula Tataru's work include Evolution and Genetic Dynamics (6 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic diversity and population structure (3 papers). Paula Tataru is often cited by papers focused on Evolution and Genetic Dynamics (6 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic diversity and population structure (3 papers). Paula Tataru collaborates with scholars based in Denmark, Austria and United Kingdom. Paula Tataru's co-authors include Thomas Bataillon, Asger Hobolth, Sylvain Glémin, Andreas Schramm, Michael Wagner, Markus Schmid, Lars Peter Nielsen, Steffen Larsen, Filip J. R. Meysman and David Berry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Paula Tataru

14 papers receiving 413 citations

Peers

Paula Tataru

GENET

ECOLO

Christian R. Boehm United Kingdom

Daniela J. Näther Germany

Katja Nagler Germany

Yanan Yang China

Lucy Wheatley United Kingdom

Tomoya Honda United States

Sebastian Cristian Treitli Czechia

Aleksandra Jasiulewicz Poland

Saburo Tsuru Japan

Christian R. Boehm United Kingdom

Paula Tataru

41 ×0.2

GENET

225 ×1.3

30 ×0.4

91 ×1.2

ECOLO

62 ×1.4

Citations per year, relative to Paula Tataru Paula Tataru (= 1×) peers Christian R. Boehm

Countries citing papers authored by Paula Tataru

Since Specialization

Citations

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

Fields of papers citing papers by Paula Tataru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Tataru

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

All Works

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14 of 14 papers shown

Marshall, Ian P. G., Anna J. Mueller, Casper Thorup, et al.. (2023). Cable bacteria with electric connection to oxygen attract flocks of diverse bacteria. Nature Communications. 14(1). 1614–1614. 35 indexed citations

Tataru, Paula & Thomas Bataillon. (2019). polyDFEv2.0: testing for invariance of the distribution of fitness effects within and across species. Bioinformatics. 35(16). 2868–2869. 28 indexed citations

Castellano, David, et al.. (2019). Comparison of the Full Distribution of Fitness Effects of New Amino Acid Mutations Across Great Apes. Genetics. 213(3). 953–966. 29 indexed citations

Nielsen, Morten Muhlig, Paula Tataru, Tobias Madsen, Asger Hobolth, & Jakob Skou Pedersen. (2018). Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments. Algorithms for Molecular Biology. 13(1). 17–17. 5 indexed citations

Bjerg, Jesper Tataru, Henricus T. S. Boschker, Steffen Larsen, et al.. (2018). Long-distance electron transport in individual, living cable bacteria. Proceedings of the National Academy of Sciences. 115(22). 5786–5791. 101 indexed citations

Tataru, Paula, et al.. (2017). Inference of Distribution of Fitness Effects and Proportion of Adaptive Substitutions from Polymorphism Data. Genetics. 207(3). 1103–1119. 95 indexed citations

Tataru, Paula, et al.. (2016). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology. 66(1). syw056–syw056. 47 indexed citations

Tataru, Paula, et al.. (2016). One size fits all? Direct evidence for the heterogeneity of genetic drift throughout the genome. Biology Letters. 12(7). 20160426–20160426. 7 indexed citations

Tataru, Paula, Thomas Bataillon, & Asger Hobolth. (2015). Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation. Genetics. 201(3). 1133–1141. 19 indexed citations

10.

Tataru, Paula, Jasmine A. Nirody, & Yun S. Song. (2014). diCal-IBD: demography-aware inference of identity-by-descent tracts in unrelated individuals. Bioinformatics. 30(23). 3430–3431. 11 indexed citations

11.

Tataru, Paula, et al.. (2013). Algorithms for Hidden Markov Models Restricted to Occurrences of Regular Expressions. Biology. 2(4). 1282–1295. 4 indexed citations

12.

Anderson, James W., et al.. (2013). Oxfold: kinetic folding of RNA using stochastic context-free grammars and evolutionary information. Bioinformatics. 29(6). 704–710. 10 indexed citations

13.

Anderson, James W., et al.. (2012). Evolving stochastic context-free grammars for RNA secondary structure prediction. BMC Bioinformatics. 13(1). 78–78. 11 indexed citations

14.

Tataru, Paula & Asger Hobolth. (2011). Comparison of methods for calculating conditional expectations of sufficient statistics for continuous time Markov chains. BMC Bioinformatics. 12(1). 465–465. 14 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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