Daniel Côté
- Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques 26
- Spectroscopy Techniques in Biomedical and Chemical Research 24
- Cell Image Analysis Techniques 8
- Hematology top 0.5%
- Genetics top 1%
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses 7
- Immunology top 2%
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- Optical Coherence Tomography Applications 11
- Photoacoustic and Ultrasonic Imaging 6
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- Optical Imaging and Spectroscopy Techniques 11
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- Photoreceptor and optogenetics research 8
- Co-authors
- Charles P. LinJuwell W. WuDavid T. ScaddenJudith RunnelsMehron Puoris’haagX. Sunney XieEric O. PotmaConor L. Evans
- Cited by
- BiophysicsHematologyGenetics
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Daniel Côté
75 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Biophysics 1.5k
- Hematology 1.3k
- Genetics 619
- Analytical Chemistry 496
- Immunology 1.1k
Countries citing papers authored by Daniel Côté
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
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
The 25 scholars most cited alongside Daniel Côté, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2022 | 8 | |
| 3 | 2019 | 14 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 76 | |
| 6 | 2017 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2016 | 41 | |
| 9 | 2016 | 13 | |
| 10 | 2015 | 39 | |
| 11 | 2015 | 218 | |
| 12 | 2014 | 30 | |
| 13 | Direct measurement of local oxygen concentration in the bone marrow of live animalsbreakdown → | 2014 | 876 |
| 14 | 2010 | 45 | |
| 15 | 2009 | 33 | |
| 16 | 2009 | 55 | |
| 17 | Live-animal tracking of individual haematopoietic stem/progenitor cells in their nichebreakdown → | 2008 | 676 |
| 18 | 2007 | 21 | |
| 19 | In vivo imaging of specialized bone marrow endothelial microdomains for tumour engraftmentbreakdown → | 2005 | 645 |
| 20 | Extending the conceptual graph model for differentiating temporal and non-temporal knowledge | 1992 | 3 |
About Daniel Côté
Daniel Côté is a scholar working on Biophysics, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (26 papers), Spectroscopy Techniques in Biomedical and Chemical Research (24 papers), Optical Coherence Tomography Applications (11 papers), Optical Imaging and Spectroscopy Techniques (11 papers), Photoreceptor and optogenetics research (8 papers), Cell Image Analysis Techniques (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). The work is most often cited by research in Biophysics (1.5k citations), Hematology (1.3k citations) and Genetics (619 citations). Daniel Côté has collaborated with scholars based in Canada, United States and France. Frequent 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. Their work appears in journals such as Biomedical Optics Express, Neurophotonics, Optics Letters, Nature and Optics Express.
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.