Daniel Côté

8.2k total citations · 4 hit papers
79 papers, 5.7k citations indexed

About

Daniel Côté is a scholar working on Biophysics, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Côté has authored 79 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biophysics, 21 papers in Biomedical Engineering and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Côté's work include Advanced Fluorescence Microscopy Techniques (26 papers), Spectroscopy Techniques in Biomedical and Chemical Research (24 papers) and Optical Coherence Tomography Applications (11 papers). Daniel Côté is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (26 papers), Spectroscopy Techniques in Biomedical and Chemical Research (24 papers) and Optical Coherence Tomography Applications (11 papers). Daniel Côté collaborates with scholars based in Canada, United States and France. Daniel Côté's co-authors include Charles P. Lin, Juwell W. Wu, David T. Scadden, Judith Runnels, Mehron Puoris’haag, X. Sunney Xie, Eric O. Potma, Conor L. Evans, Joji Fujisaki and Cristina Lo Celso and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniel Côté

75 papers receiving 5.6k citations

Hit Papers

Direct measurement of local oxygen concentration ... 2005 2026 2012 2019 2014 2005 2008 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Côté Canada 33 1.5k 1.3k 1.2k 1.1k 1.1k 79 5.7k
Daniel L. Farkas United States 39 895 0.6× 186 0.1× 2.1k 1.8× 1.4k 1.3× 409 0.4× 197 6.1k
Shakti Ramkissoon United States 37 536 0.4× 358 0.3× 2.8k 2.3× 474 0.4× 761 0.7× 204 6.9k
Ben N. G. Giepmans Netherlands 45 1.5k 1.0× 248 0.2× 6.2k 5.1× 901 0.8× 434 0.4× 105 9.8k
Jun Ando Japan 28 983 0.7× 125 0.1× 1.4k 1.2× 833 0.8× 443 0.4× 155 3.6k
Andrew Riches United Kingdom 28 563 0.4× 146 0.1× 1.3k 1.1× 614 0.6× 175 0.2× 97 3.0k
Patricia J. Keely United States 58 1.3k 0.9× 197 0.1× 4.5k 3.7× 4.0k 3.7× 947 0.9× 102 13.8k
Xunbin Wei China 41 275 0.2× 359 0.3× 1.9k 1.6× 2.5k 2.3× 800 0.7× 195 6.0k
Erin F. Simonds United States 19 1.4k 0.9× 720 0.5× 5.1k 4.1× 611 0.6× 2.6k 2.4× 28 7.6k
Timm Schroeder Switzerland 54 845 0.6× 1.8k 1.4× 5.8k 4.7× 987 0.9× 2.0k 1.9× 166 9.9k
Claudio Vinegoni United States 37 729 0.5× 109 0.1× 1.2k 1.0× 2.0k 1.8× 554 0.5× 117 5.5k

Countries citing papers authored by Daniel Côté

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Côté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Côté

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Côté. A scholar is included among the top collaborators of Daniel Côté 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 Daniel Côté. Daniel Côté 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.
Dominé, Florent, et al.. (2025). Impact of shrub branches on the shortwave vertical irradiance profile in snow. ˜The œcryosphere. 19(5). 1757–1774. 1 indexed citations
2.
Desroches, Joannie, et al.. (2019). Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye. Acta Ophthalmologica. 97(S263). 1 indexed citations
3.
Goetz, Laurent, Dave Gagnon, Michel Prudhomme, et al.. (2019). Intraoperative fiber optic guidance during chronic electrode implantation in deep brain stimulation neurosurgery: proof of concept in primates. Journal of neurosurgery. 132(6). 1810–1819. 7 indexed citations
4.
Lapointe, Nicolas, et al.. (2018). Intact primate brain tissue identification using a completely fibered coherent Raman spectroscopy system. Neurophotonics. 5(3). 1–1. 14 indexed citations
5.
Wang, Feng, Erik Bélanger, Sylvain Côté, et al.. (2018). Sensory Afferents Use Different Coding Strategies for Heat and Cold. Cell Reports. 23(7). 2001–2013. 76 indexed citations
6.
Duval, Tanguy, et al.. (2016). AxonSeg: Open Source Software for Axon and Myelin Segmentation and Morphometric Analysis. Frontiers in Neuroinformatics. 10. 37–37. 41 indexed citations
7.
Turcotte, Raphaël, et al.. (2016). Intravital assessment of myelin molecular order with polarimetric multiphoton microscopy. Scientific Reports. 6(1). 31685–31685. 13 indexed citations
8.
Stikov, Nikola, Jennifer S. W. Campbell, Thomas Stroh, et al.. (2015). Quantitative analysis of the myelin g -ratio from electron microscopy images of the macaque corpus callosum. Data in Brief. 4. 368–373. 39 indexed citations
9.
Stikov, Nikola, Jennifer S. W. Campbell, Thomas Stroh, et al.. (2015). In vivo histology of the myelin g-ratio with magnetic resonance imaging. NeuroImage. 118. 397–405. 218 indexed citations
10.
Bégin, Steve, et al.. (2014). Automated method for the segmentation and morphometry of nerve fibers in large-scale CARS images of spinal cord tissue. Biomedical Optics Express. 5(12). 4145–4145. 30 indexed citations
11.
Spencer, Joel A., Francesca Ferraro, Emmanuel Roussakis, et al.. (2014). Direct measurement of local oxygen concentration in the bone marrow of live animals. Nature. 508(7495). 269–273. 876 indexed citations breakdown →
12.
Aubé, Benoît, Sébastien A. Lévesque, Alexandre Paré, et al.. (2014). Neutrophils Mediate Blood–Spinal Cord Barrier Disruption in Demyelinating Neuroinflammatory Diseases. The Journal of Immunology. 193(5). 2438–2454. 190 indexed citations
13.
Mertz, Jérôme, et al.. (2014). Phase-gradient contrast in thick tissue with a scanning microscope. Biomedical Optics Express. 5(2). 407–407. 11 indexed citations
14.
Li, Chunqiang, Costas Pitsillides, Judith Runnels, et al.. (2010). Imaging leukocyte trafficking in vivo with two-photon-excited endogenous tryptophan fluorescence. Optics Express. 18(2). 988–988. 45 indexed citations
15.
Bégin, Steve, Erik Bélanger, Sophie Laffray, Réal Vallée, & Daniel Côté. (2009). In vivo optical monitoring of tissue pathologies and diseases with vibrational contrast. Journal of Biophotonics. 2(11). 632–642. 33 indexed citations
16.
Celso, Cristina Lo, Heather E. Fleming, Juwell W. Wu, et al.. (2008). Live-animal tracking of individual haematopoietic stem/progenitor cells in their niche. Nature. 457(7225). 92–96. 676 indexed citations breakdown →
17.
Bélanger, Erik, Martin Bernier, Dominic Faucher, Daniel Côté, & Réal Vallée. (2008). High-Power and Widely Tunable All-Fiber Raman Laser. Journal of Lightwave Technology. 26(12). 1696–1701. 29 indexed citations
18.
Côté, Daniel, N. Laman, & H. M. van Driel. (2002). Rectification and shift currents in GaAs. Applied Physics Letters. 80(6). 905–907. 87 indexed citations
19.
Côté, Daniel, James M. Fräser, M. F. DeCamp, P. H. Bucksbaum, & H. M. van Driel. (1999). THz emission from coherently controlled photocurrents in GaAs. Applied Physics Letters. 75(25). 3959–3961. 49 indexed citations
20.
Moulin, Bernard & Daniel Côté. (1992). Extending the conceptual graph model for differentiating temporal and non-temporal knowledge. Ellis Horwood eBooks. 381–389. 3 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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