Sarah J. Bourlat

3.0k total citations
41 papers, 1.8k citations indexed

About

Sarah J. Bourlat is a scholar working on Ecology, Molecular Biology and Oceanography. According to data from OpenAlex, Sarah J. Bourlat has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ecology, 28 papers in Molecular Biology and 11 papers in Oceanography. Recurrent topics in Sarah J. Bourlat's work include Environmental DNA in Biodiversity Studies (24 papers), Identification and Quantification in Food (10 papers) and Microbial Community Ecology and Physiology (8 papers). Sarah J. Bourlat is often cited by papers focused on Environmental DNA in Biodiversity Studies (24 papers), Identification and Quantification in Food (10 papers) and Microbial Community Ecology and Physiology (8 papers). Sarah J. Bourlat collaborates with scholars based in Sweden, United Kingdom and Germany. Sarah J. Bourlat's co-authors include Maximilian J. Telford, Andrew D. Economou, Claus Nielsen, Omar Rota‐Stabelli, Quiterie Haenel, Hiroaki Nakano, D. Timothy J. Littlewood, Michael C. Thorndyke, Richard R. Copley and Kathrin Langen and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sarah J. Bourlat

39 papers receiving 1.7k citations

Peers

Sarah J. Bourlat

ECOLO

GPC

PALEO

OCEAN

Ronald Sluys Netherlands

Iker Irisarri Germany

Christoffer Schänder Norway

Sandie M. Degnan Australia

Regina Wetzer United States

Douglas J. Eernisse United States

Thomas F. Duda United States

Yong‐Jin Won South Korea

Neil W. Blackstone United States

Ronald A. Jenner United Kingdom

Ronald Sluys Netherlands

Sarah J. Bourlat

1.3k ×1.4

914 ×1.3

ECOLO

1.0k ×2.3

GPC

189 ×0.6

PALEO

148 ×0.5

OCEAN

Citations per year, relative to Sarah J. Bourlat Sarah J. Bourlat (= 1×) peers Ronald Sluys

Countries citing papers authored by Sarah J. Bourlat

Since Specialization

Citations

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

Fields of papers citing papers by Sarah J. Bourlat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah J. Bourlat. 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 Sarah J. Bourlat. The network helps show where Sarah J. Bourlat may publish in the future.

Co-authorship network of co-authors of Sarah J. Bourlat

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peters, Ralph S., et al.. (2025). Maximizing Identification Precision of Hymenoptera and Brachycera (Diptera) With a Non‐Destructive DNA Metabarcoding Approach. Ecology and Evolution. 15(1). e70770–e70770. 1 indexed citations

Thomas, Leighton J., Kathrin Langen, Georg F. Tschan, et al.. (2024). Synchronised monitoring of plant and insect diversity: a case study using automated Malaise traps and DNA-based methods. ZooKeys. 12. e127669–e127669. 1 indexed citations

Leidenberger, Sonja, et al.. (2024). Freshwater mollusc community screening - Classical and eDNA monitoring methods to detect rare, indicator and invasive species. The Science of The Total Environment. 958. 177763–177763.

Bourlat, Sarah J., et al.. (2023). Future of DNA-based insect monitoring. Trends in Genetics. 39(7). 531–544. 42 indexed citations

Eriksson, Britas Klemens, Sarah J. Bourlat, Serena Donadi, et al.. (2021). Habitat segregation of plate phenotypes in a rapidly expanding population of three‐spined stickleback. Ecosphere. 12(6). 7 indexed citations

Bourlat, Sarah J., et al.. (2021). Metabarcoding Malaise traps and soil eDNA reveals seasonal and local arthropod diversity shifts. Scientific Reports. 11(1). 10498–10498. 39 indexed citations

Bernal, Rodrigo, Christine D. Bacon, Henrik Balslev, et al.. (2019). Could coastal plants in western Amazonia be relicts of past marine incursions?. Journal of Biogeography. 46(8). 1749–1759. 26 indexed citations

Nilsson, R. Henrik, et al.. (2019). Exploring the taxonomic composition of two fungal communities on the Swedish west coast through metabarcoding. Biodiversity Data Journal. 7. e35332–e35332. 8 indexed citations

Jakubavičiūtė, Eglė, Ulf Bergström, Johan Eklöf, Quiterie Haenel, & Sarah J. Bourlat. (2017). DNA metabarcoding reveals diverse diet of the three-spined stickleback in a coastal ecosystem. PLoS ONE. 12(10). e0186929–e0186929. 69 indexed citations

10.

Leidenberger, Sonja, et al.. (2015). Evaluating the potential of ecological niche modelling as a component in marine non-indigenous species risk assessments. Marine Pollution Bulletin. 97(1-2). 470–487. 29 indexed citations

11.

Davies, Neil M, Dawn Field, Katharine Barker, et al.. (2014). Report of the 14th Genomic Standards Consortium Meeting, Oxford, UK, September 17-21, 2012.. Standards in Genomic Sciences. 9(3). 1236–1250. 2 indexed citations

12.

Bourlat, Sarah J., Ángel Borja, Jack A. Gilbert, et al.. (2013). Genomics in marine monitoring: New opportunities for assessing marine health status. Marine Pollution Bulletin. 74(1). 19–31. 175 indexed citations

13.

Nakano, Hiroaki, Kennet Lundin, Sarah J. Bourlat, et al.. (2013). Xenoturbella bocki exhibits direct development with similarities to Acoelomorpha. Nature Communications. 4(1). 1537–1537. 34 indexed citations

14.

Bourlat, Sarah J. & Andreas Hejnol. (2009). Acoels. Current Biology. 19(7). R279–R280. 16 indexed citations

15.

Bourlat, Sarah J., et al.. (2008). Developmental Studies of Xenoturbella. UCL Discovery (University College London). 1 indexed citations

16.

Bourlat, Sarah J., et al.. (2008). Testing the new animal phylogeny: A phylum level molecular analysis of the animal kingdom. Molecular Phylogenetics and Evolution. 49(1). 23–31. 86 indexed citations

17.

Bourlat, Sarah J., Thorhildur Juliusdottir, Christopher J. Lowe, et al.. (2006). Deuterostome phylogeny reveals monophyletic chordates and the new phylum Xenoturbellida. Nature. 444(7115). 85–88. 413 indexed citations

18.

Webster, Bonnie L., Richard R. Copley, Ronald A. Jenner, et al.. (2006). Mitogenomics and phylogenomics reveal priapulid worms as extant models of the ancestral Ecdysozoan. Evolution & Development. 8(6). 502–510. 61 indexed citations

19.

Bourlat, Sarah J., Claus Nielsen, Anne E. Lockyer, D. Timothy J. Littlewood, & Maximilian J. Telford. (2003). Xenoturbella is a deuterostome that eats molluscs. Nature. 424(6951). 925–928. 116 indexed citations

20.

Gartner, Anton, et al.. (1998). Pheromone-Dependent G ₁ Cell Cycle Arrest Requires Far1 Phosphorylation, but May Not Involve Inhibition of Cdc28-Cln2 Kinase, In Vivo. Molecular and Cellular Biology. 18(7). 3681–3691. 78 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.

Explore authors with similar magnitude of impact