Émilie Macé

3.6k total citations · 2 hit papers
29 papers, 2.4k citations indexed

About

Émilie Macé is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Émilie Macé has authored 29 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Biomedical Engineering and 9 papers in Cognitive Neuroscience. Recurrent topics in Émilie Macé's work include Ultrasound Imaging and Elastography (15 papers), Ultrasound and Hyperthermia Applications (7 papers) and Advanced MRI Techniques and Applications (7 papers). Émilie Macé is often cited by papers focused on Ultrasound Imaging and Elastography (15 papers), Ultrasound and Hyperthermia Applications (7 papers) and Advanced MRI Techniques and Applications (7 papers). Émilie Macé collaborates with scholars based in France, Germany and Switzerland. Émilie Macé's co-authors include Gabriel Montaldo, Mickaël Tanter, Mathias Fink, Ivan Cohen, Jean‐Luc Gennisson, Thomas Deffieux, Michel Baulac, Alan Urban, Clément Brunner and Bruno-Félix Osmanski and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Émilie Macé

28 papers receiving 2.4k citations

Hit Papers

Viscoelastic and Anisotropic Mechanical Properties of in ... 2010 2026 2015 2020 2010 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Émilie Macé France 19 1.2k 1.2k 512 447 316 29 2.4k
Sophie Pezet France 31 1.4k 1.2× 1.3k 1.1× 1.4k 2.6× 625 1.4× 246 0.8× 66 4.3k
Matthew C. Murphy United States 26 872 0.7× 1.3k 1.1× 368 0.7× 210 0.5× 766 2.4× 73 2.8k
Christian Höfer Austria 33 1.4k 1.2× 323 0.3× 595 1.2× 526 1.2× 294 0.9× 119 3.3k
Curtis L. Johnson United States 33 1.6k 1.4× 2.0k 1.7× 192 0.4× 81 0.2× 250 0.8× 114 3.3k
Sebastian Papazoglou Germany 20 1.3k 1.1× 1.4k 1.2× 125 0.2× 73 0.2× 69 0.2× 35 2.1k
Weibao Qiu China 26 1.9k 1.6× 887 0.7× 213 0.4× 228 0.5× 54 0.2× 118 2.6k
Ivan Cohen France 22 1.3k 1.1× 1.4k 1.2× 1.6k 3.0× 541 1.2× 1.1k 3.6× 36 3.6k
Arthur A. Pilla United States 32 801 0.7× 528 0.4× 286 0.6× 644 1.4× 97 0.3× 88 3.5k
Long Meng China 31 2.3k 2.0× 449 0.4× 242 0.5× 312 0.7× 68 0.2× 116 3.2k
Yusuf Tufail United States 8 1.4k 1.2× 757 0.6× 379 0.7× 184 0.4× 118 0.4× 9 2.3k

Countries citing papers authored by Émilie Macé

Since Specialization
Citations

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

Fields of papers citing papers by Émilie Macé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Émilie Macé

This figure shows the co-authorship network connecting the top 25 collaborators of Émilie Macé. A scholar is included among the top collaborators of Émilie Macé 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 Émilie Macé. Émilie Macé 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.
Mayer, Joceli, et al.. (2025). Visual objects refine head direction coding. Science. 389(6765). eadu9828–eadu9828. 3 indexed citations
2.
Edelman, Bradley J., et al.. (2024). The COMBO window: A chronic cranial implant for multiscale circuit interrogation in mice. PLoS Biology. 22(6). e3002664–e3002664. 5 indexed citations
3.
Bharioke, Arjun, Martin Munz, Alexandra Brignall, et al.. (2022). General anesthesia globally synchronizes activity selectively in layer 5 cortical pyramidal neurons. Neuron. 110(12). 2024–2040.e10. 68 indexed citations
4.
Brunner, Clément, Émilie Macé, Gabriel Montaldo, & Alan Urban. (2022). Quantitative Hemodynamic Measurements in Cortical Vessels Using Functional Ultrasound Imaging. Frontiers in Neuroscience. 16. 831650–831650. 13 indexed citations
5.
Montaldo, Gabriel, Alan Urban, & Émilie Macé. (2022). Functional Ultrasound Neuroimaging. Annual Review of Neuroscience. 45(1). 491–513. 18 indexed citations
6.
Edelman, Bradley J. & Émilie Macé. (2021). Functional ultrasound brain imaging: Bridging networks, neurons, and behavior. Current Opinion in Biomedical Engineering. 18. 100286–100286. 17 indexed citations
7.
Brunner, Clément, Micheline Grillet, Alan Urban, et al.. (2021). Whole-brain functional ultrasound imaging in awake head-fixed mice. Nature Protocols. 16(7). 3547–3571. 59 indexed citations
8.
Macé, Émilie, Gabriel Montaldo, Stuart Trenholm, et al.. (2018). Whole-Brain Functional Ultrasound Imaging Reveals Brain Modules for Visuomotor Integration. Neuron. 100(5). 1241–1251.e7. 81 indexed citations
9.
Deny, Stéphane, Ulisse Ferrari, Émilie Macé, et al.. (2017). Multiplexed computations in retinal ganglion cells of a single type. Nature Communications. 8(1). 1964–1964. 27 indexed citations
10.
Chaffiol, Antoine, Romain Caplette, Céline Jaillard, et al.. (2017). A New Promoter Allows Optogenetic Vision Restoration with Enhanced Sensitivity in Macaque Retina. Molecular Therapy. 25(11). 2546–2560. 105 indexed citations
11.
Sengupta, Abhishek, Antoine Chaffiol, Émilie Macé, et al.. (2016). Red‐shifted channelrhodopsin stimulation restores light responses in blind mice, macaque retina, and human retina. EMBO Molecular Medicine. 8(11). 1248–1264. 128 indexed citations
12.
Urban, Alan, et al.. (2015). Real-time imaging of brain activity in freely moving rats using functional ultrasound. Nature Methods. 12(9). 873–878. 103 indexed citations
13.
14.
Macé, Émilie, Romain Caplette, Olivier Marre, et al.. (2014). Targeting Channelrhodopsin-2 to ON-bipolar Cells With Vitreally Administered AAV Restores ON and OFF Visual Responses in Blind Mice. Molecular Therapy. 23(1). 7–16. 151 indexed citations
15.
Macé, Émilie, Gabriel Montaldo, Bruno-Félix Osmanski, et al.. (2013). Functional ultrasound imaging of the brain: theory and basic principles. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 60(3). 492–506. 219 indexed citations
16.
Macé, Émilie, Gabriel Montaldo, Ivan Cohen, et al.. (2011). Functional ultrasound imaging of the brain. Nature Methods. 8(8). 662–664. 478 indexed citations breakdown →
17.
Gennisson, Jean‐Luc, Thomas Deffieux, Émilie Macé, et al.. (2010). Viscoelastic and Anisotropic Mechanical Properties of in vivo Muscle Tissue Assessed by Supersonic Shear Imaging. Ultrasound in Medicine & Biology. 36(5). 789–801. 529 indexed citations breakdown →
18.
Macé, Émilie, Ivan Cohen, Gabriel Montaldo, et al.. (2010). In Vivo Mapping of Brain Elasticity in Small Animals Using Shear Wave Imaging. IEEE Transactions on Medical Imaging. 30(3). 550–558. 60 indexed citations
19.
Montaldo, Gabriel, et al.. (2010). Ultrafast compound doppler imaging: A new approach of doppler flow analysis. 324–327. 8 indexed citations
20.
Pernot, Mathieu, Émilie Macé, Rémi Dubois, et al.. (2009). Mapping myocardial elasticity changes after RF-ablation using supersonic shear imaging. 793–796. 13 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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