Laurène Donati

1.0k total citations · 1 hit paper
10 papers, 622 citations indexed

About

Laurène Donati is a scholar working on Structural Biology, Radiation and Biophysics. According to data from OpenAlex, Laurène Donati has authored 10 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Structural Biology, 4 papers in Radiation and 3 papers in Biophysics. Recurrent topics in Laurène Donati's work include Advanced Electron Microscopy Techniques and Applications (6 papers), Advanced X-ray Imaging Techniques (4 papers) and Cell Image Analysis Techniques (3 papers). Laurène Donati is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (6 papers), Advanced X-ray Imaging Techniques (4 papers) and Cell Image Analysis Techniques (3 papers). Laurène Donati collaborates with scholars based in Switzerland, France and Spain. Laurène Donati's co-authors include Michaël Unser, Daniel Sage, Ferréol Soulez, Cédric Vonesch, Arne Seitz, Denis Fortun, Romain Guiet, Estibaliz Gómez‐de‐Mariscal, Emma Lundberg and Wei Ouyang and has published in prestigious journals such as Nature Methods, IEEE Signal Processing Magazine and Methods.

In The Last Decade

Laurène Donati

8 papers receiving 608 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeconvolutionLab2: An open-source software for deconvolution microscopy

2017 383 citations Daniel Sage, Laurène Donati et al. Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laurène Donati Switzerland	7	267	193	138	77	75	10	622
Dylan Bannon United States	3	438 1.6×	268 1.4×	183 1.3×	159 2.1×	30 0.4×	3	871
George W. Ashdown United Kingdom	13	345 1.3×	257 1.3×	136 1.0×	38 0.5×	118 1.6×	17	743
Pierre Soule France	6	222 0.8×	136 0.7×	111 0.8×	45 0.6×	49 0.7×	9	422
Elizabeth Jurrus United States	13	234 0.9×	102 0.5×	47 0.3×	52 0.7×	143 1.9×	27	596
Di Li China	9	329 1.2×	104 0.5×	218 1.6×	129 1.7×	60 0.8×	12	659
Mohamed El Beheiry France	15	356 1.3×	474 2.5×	317 2.3×	24 0.3×	110 1.5×	25	1.2k
Nils Norlin Sweden	12	337 1.3×	221 1.1×	173 1.3×	42 0.5×	31 0.4×	19	645
Tim-Oliver Buchholz Germany	5	162 0.6×	137 0.7×	152 1.1×	250 3.2×	115 1.5×	5	905
Majid Badieirostami Iran	9	356 1.3×	154 0.8×	283 2.1×	40 0.5×	112 1.5×	31	611
Petar N. Petrov United States	11	343 1.3×	147 0.8×	214 1.6×	29 0.4×	162 2.2×	21	592

Countries citing papers authored by Laurène Donati

Since Specialization

Citations

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

Fields of papers citing papers by Laurène Donati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurène Donati

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

All Works

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10 of 10 papers shown

1.

Uhlmann, Virginie, Laurène Donati, & Daniel Sage. (2022). A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices. IEEE Signal Processing Magazine. 39(2). 73–86. 7 indexed citations

2.

Gupta, Harshit, Michael T. McCann, Laurène Donati, & Michaël Unser. (2021). CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. IEEE Transactions on Computational Imaging. 7. 759–774. 45 indexed citations

3.

Gómez‐de‐Mariscal, Estibaliz, Wei Ouyang, Laurène Donati, et al.. (2021). DeepImageJ: A user-friendly environment to run deep learning models in ImageJ. Nature Methods. 18(10). 1192–1195. 138 indexed citations

4.

Donati, Laurène. (2020). Reconstruction Methods for Cryo-Electron Microscopy: From Model-based to Data-driven. Infoscience (Ecole Polytechnique Fédérale de Lausanne).

5.

Donati, Laurène, Emmanuel Soubies, & Michaël Unser. (2019). Inner-Loop-Free Admm For Cryo-Em. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2017. 307–311. 4 indexed citations

6.

Donati, Laurène, et al.. (2018). Fast multiscale reconstruction for Cryo-EM. Journal of Structural Biology. 204(3). 543–554. 6 indexed citations

7.

Sage, Daniel, Laurène Donati, Ferréol Soulez, et al.. (2017). DeconvolutionLab2: An open-source software for deconvolution microscopy. Methods. 115. 28–41. 383 indexed citations breakdown →

8.

Donati, Laurène, et al.. (2017). Compressed sensing for STEM tomography. Ultramicroscopy. 179. 47–56. 24 indexed citations

9.

Donati, Laurène, et al.. (2017). Compressed sensing for dose reduction in STEM tomography. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 23–27.

10.

Unser, Michaël, Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, & Laurène Donati. (2017). GlobalBioIm: A Unifying Computational Framework for Solving Inverse Problems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). CTu1B.1–CTu1B.1. 15 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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