Juliette Griffié

1.8k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Juliette Griffié is a scholar working on Biophysics, Molecular Biology and Structural Biology. According to data from OpenAlex, Juliette Griffié has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biophysics, 13 papers in Molecular Biology and 5 papers in Structural Biology. Recurrent topics in Juliette Griffié's work include Advanced Fluorescence Microscopy Techniques (20 papers), Cell Image Analysis Techniques (14 papers) and Single-cell and spatial transcriptomics (7 papers). Juliette Griffié is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (20 papers), Cell Image Analysis Techniques (14 papers) and Single-cell and spatial transcriptomics (7 papers). Juliette Griffié collaborates with scholars based in United Kingdom, Switzerland and United States. Juliette Griffié's co-authors include Suliana Manley, Dylan M. Owen, Florian Schueder, Gerti Beliu, Melike Lakadamyali, Ralf Jungmann, Mickaël Lelek, Christophe Zimmer, Melina Theoni Gyparaki and Markus Sauer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Juliette Griffié

24 papers receiving 1.0k citations

Hit Papers

Single-molecule localization microscopy 2021 2026 2022 2024 2021 100 200 300 400 500
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.

  1. Single-molecule localization microscopy
    2021 538 citations Mickaël Lelek, Melina Theoni Gyparaki et al. Nature Reviews Methods Primers profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juliette Griffié United Kingdom 14 688 376 274 257 108 24 1.1k
Sebastian Malkusch Germany 17 653 0.9× 519 1.4× 339 1.2× 164 0.6× 75 0.7× 35 1.2k
Anna Löschberger Germany 10 953 1.4× 609 1.6× 422 1.5× 364 1.4× 129 1.2× 10 1.4k
Sebastian Haase Germany 10 588 0.9× 648 1.7× 197 0.7× 303 1.2× 121 1.1× 21 1.3k
Sebastian Strauss Germany 14 495 0.7× 540 1.4× 214 0.8× 215 0.8× 39 0.4× 24 955
Wei Ji China 18 605 0.9× 725 1.9× 325 1.2× 232 0.9× 85 0.8× 44 1.4k
Claudia Geisler Germany 12 733 1.1× 291 0.8× 307 1.1× 385 1.5× 103 1.0× 21 1.0k
Steve Wolter Germany 11 1.0k 1.5× 550 1.5× 443 1.6× 370 1.4× 133 1.2× 12 1.4k
Yiming Li China 15 674 1.0× 310 0.8× 353 1.3× 287 1.1× 121 1.1× 42 1000
David Albrecht United Kingdom 14 427 0.6× 342 0.9× 168 0.6× 174 0.7× 108 1.0× 27 864
Bassam Hajj France 15 596 0.9× 1.1k 2.9× 157 0.6× 253 1.0× 187 1.7× 28 1.7k

Countries citing papers authored by Juliette Griffié

Since Specialization
Citations

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

Fields of papers citing papers by Juliette Griffié

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juliette Griffié

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

All Works

20 of 20 papers shown
1.
Bauer, Sebastian, et al.. (2024). Machine learning in microscopy – insights, opportunities and challenges. Journal of Cell Science. 137(20). 7 indexed citations
2.
Owen, Dylan M., et al.. (2023). Cluster analysis for localisation-based data sets: dos and don’ts when quantifying protein aggregates. SHILAP Revista de lepidopterología. 3. 1237551–1237551. 1 indexed citations
3.
Nieves, Daniel J., Jeremy A. Pike, Florian Levet, et al.. (2023). A framework for evaluating the performance of SMLM cluster analysis algorithms. Nature Methods. 20(2). 259–267. 35 indexed citations
4.
Jensen, L G, David J. Williamson, Juliette Griffié, et al.. (2022). Correction of multiple-blinking artifacts in photoactivated localization microscopy. Nature Methods. 19(5). 594–602. 21 indexed citations
5.
Mahečić, Dora, et al.. (2022). Event-driven acquisition for content-enriched microscopy. Nature Methods. 19(10). 1262–1267. 59 indexed citations
6.
Lelek, Mickaël, Melina Theoni Gyparaki, Gerti Beliu, et al.. (2021). Single-molecule localization microscopy. Nature Reviews Methods Primers. 1(1). 538 indexed citations breakdown →
7.
Williamson, David J., Garth L. Burn, Sabrina Simoncelli, et al.. (2020). Machine learning for cluster analysis of localization microscopy data. Nature Communications. 11(1). 1493–1493. 63 indexed citations
8.
Simoncelli, Sabrina, Juliette Griffié, David J. Williamson, et al.. (2020). Multi-color Molecular Visualization of Signaling Proteins Reveals How C-Terminal Src Kinase Nanoclusters Regulate T Cell Receptor Activation. Cell Reports. 33(12). 108523–108523. 20 indexed citations
9.
Griffié, Juliette, Ruby Peters, & Dylan M. Owen. (2020). An agent-based model of molecular aggregation at the cell membrane. PLoS ONE. 15(2). e0226825–e0226825. 10 indexed citations
10.
Shannon, Michael J., Juliette Griffié, Jesse Aaron, et al.. (2019). Differential nanoscale organisation of LFA-1 modulates T-cell migration. Journal of Cell Science. 133(5). 15 indexed citations
11.
Mahečić, Dora, Ilaria Testa, Juliette Griffié, & Suliana Manley. (2019). Strategies for increasing the throughput of super-resolution microscopies. Current Opinion in Chemical Biology. 51. 84–91. 22 indexed citations
12.
Peters, Ruby, Juliette Griffié, David J. Williamson, et al.. (2018). Development of 2-colour and 3D SMLM data analysis methods for fibrous spatial point patterns. Journal of Physics D Applied Physics. 52(1). 14005–14005. 3 indexed citations
13.
Griffié, Juliette, Garth L. Burn, David J. Williamson, et al.. (2018). Dynamic Bayesian Cluster Analysis of Live‐Cell Single Molecule Localization Microscopy Datasets. Small Methods. 2(9). 13 indexed citations
14.
Peters, Ruby, Juliette Griffié, Garth L. Burn, David J. Williamson, & Dylan M. Owen. (2018). Quantitative fibre analysis of single-molecule localization microscopy data. Scientific Reports. 8(1). 10418–10418. 19 indexed citations
15.
Griffié, Juliette, Dylan M. Owen, Patrick Rubin‐Delanchy, & Garth L. Burn. (2017). Quantitative Analysis of Membrane Protein Clustering from Live-Cell, Single-Molecule Super-Resolution Microscopy Data. Biophysical Journal. 112(3). 144a–145a. 1 indexed citations
16.
Griffié, Juliette, David J. Williamson, Michael J. Shannon, et al.. (2017). 3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse. Scientific Reports. 7(1). 4077–4077. 21 indexed citations
17.
Peters, Ruby, Juliette Griffié, David J. Williamson, et al.. (2017). Quantification of fibrous spatial point patterns from single-molecule localization microscopy (SMLM) data. Bioinformatics. 33(11). 1703–1711. 9 indexed citations
18.
Griffié, Juliette, Michael J. Shannon, Lies Boelen, et al.. (2016). A Bayesian cluster analysis method for single-molecule localization microscopy data. Nature Protocols. 11(12). 2499–2514. 38 indexed citations
19.
Rubin‐Delanchy, Patrick, Garth L. Burn, Juliette Griffié, et al.. (2015). Bayesian cluster identification in single-molecule localization microscopy data. Nature Methods. 12(11). 1072–1076. 91 indexed citations
20.
Griffié, Juliette, Garth L. Burn, & Dylan M. Owen. (2015). The Nanoscale Organization of Signaling Domains at the Plasma Membrane. Current topics in membranes. 75. 125–165. 11 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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