Daniel S. Elson
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques 22
- Acoustics and Ultrasonics top 2%
- Biomedical Engineering top 1%
- Photoacoustic and Ultrasonic Imaging 62
- Optical Polarization and Ellipsometry 25
- Optical Coherence Tomography Applications 23
- Nanoplatforms for cancer theranostics 20
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- Optical Imaging and Spectroscopy Techniques 63
- Instrumentation top 5%
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- Photodynamic Therapy Research Studies 22
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- Surgical Simulation and Training 22
Daniel S. Elson
188 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 159
- Biophysics 943
- Acoustics and Ultrasonics 107
- Biomedical Engineering 2.3k
- Radiology, Nuclear Medicine and Imaging 919
- Instrumentation 120
Countries citing papers authored by Daniel S. Elson
This map shows the geographic impact of Daniel S. Elson'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 S. Elson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Elson more than expected).
Fields of papers citing papers by Daniel S. Elson
This network shows the impact of papers produced by Daniel S. Elson. 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 S. Elson. The network helps show where Daniel S. Elson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S. Elson, 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 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 44 | |
| 14 | 2015 | 82 | |
| 15 | 2015 | 40 | |
| 16 | Fluorescence lifetime spectroscopy and imaging: Principles and applications in biomedical diagnostics | 2014 | 28 |
| 17 | Multispectral Imaging using a Fast Filter Wheel System during Vascular Surgery | 2013 | 3 |
| 18 | 2013 | 191 | |
| 19 | 2011 | 58 | |
| 20 | 2008 | 16 |
About Daniel S. Elson
Daniel S. Elson is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 201 papers that have together received 4.0k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (63 papers), Photoacoustic and Ultrasonic Imaging (62 papers), Optical Polarization and Ellipsometry (25 papers), Optical Coherence Tomography Applications (23 papers), Advanced Fluorescence Microscopy Techniques (22 papers), Photodynamic Therapy Research Studies (22 papers), Surgical Simulation and Training (22 papers) and Nanoplatforms for cancer theranostics (20 papers). The work is most often cited by research in Biophysics (943 citations), Acoustics and Ultrasonics (107 citations) and Biomedical Engineering (2.3k citations). Daniel S. Elson has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Ji Qi, Neil T. Clancy, Danail Stoyanov, P. M. W. French, Guang‐Zhong Yang, George B. Hanna, Mark A. A. Neil, Ara Darzi, Lena Maier‐Hein and Laura Marcu. Their work appears in journals such as Biomedical Optics Express, Optics Letters, Journal of Biomedical Optics, International Journal of Computer Assisted Radiology and Surgery 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.