Daniel S. Elson

6.4k total citations
201 papers, 4.0k citations indexed

About

Daniel S. Elson is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Daniel S. Elson has authored 201 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Biomedical Engineering, 73 papers in Radiology, Nuclear Medicine and Imaging and 37 papers in Biophysics. Recurrent topics in Daniel S. Elson's work include Optical Imaging and Spectroscopy Techniques (63 papers), Photoacoustic and Ultrasonic Imaging (62 papers) and Optical Polarization and Ellipsometry (25 papers). Daniel S. Elson is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (63 papers), Photoacoustic and Ultrasonic Imaging (62 papers) and Optical Polarization and Ellipsometry (25 papers). Daniel S. Elson collaborates with scholars based in United Kingdom, China and United States. Daniel S. Elson's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Daniel S. Elson

188 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Elson United Kingdom 37 2.3k 943 919 567 499 201 4.0k
Igor Meglinski Finland 38 3.3k 1.4× 983 1.0× 1.8k 2.0× 179 0.3× 164 0.3× 289 5.2k
I. Alex Vitkin Canada 46 5.3k 2.3× 1.4k 1.5× 2.3k 2.5× 283 0.5× 572 1.1× 253 6.9k
Guolan Lu United States 27 1.6k 0.7× 748 0.8× 1.6k 1.8× 335 0.6× 296 0.6× 52 3.8k
Michael R. Descour United States 28 1.5k 0.6× 616 0.7× 519 0.6× 320 0.6× 109 0.2× 115 2.8k
Adam Wax United States 42 3.6k 1.6× 1.8k 1.9× 1.1k 1.2× 669 1.2× 275 0.6× 225 5.7k
Joseph M. Schmitt United States 44 5.5k 2.4× 1.6k 1.7× 2.8k 3.0× 371 0.7× 1.0k 2.1× 117 7.6k
David D. Sampson Australia 50 5.7k 2.5× 1.3k 1.4× 2.9k 3.2× 375 0.7× 576 1.2× 250 8.5k
Maurice C. G. Aalders Netherlands 36 2.5k 1.1× 865 0.9× 1.3k 1.4× 99 0.2× 518 1.0× 148 5.1k
Irving J. Bigio United States 35 2.4k 1.0× 1.2k 1.3× 2.1k 2.2× 50 0.1× 183 0.4× 157 4.4k
Yonghong He China 33 1.4k 0.6× 402 0.4× 342 0.4× 257 0.5× 143 0.3× 255 3.7k

Countries citing papers authored by Daniel S. Elson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel S. Elson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Elson. A scholar is included among the top collaborators of Daniel S. Elson 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 S. Elson. Daniel S. Elson 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.
Song, Jiawei, Changjiang Zhou, Yongtai Chen, et al.. (2025). A polarization-maintaining endoscope for surgical imaging. Device. 3(11). 100871–100871.
2.
Giuliani, Stefano, Irene Paraboschi, Angus McNair, et al.. (2024). Monoclonal Antibodies for Targeted Fluorescence-Guided Surgery: A Review of Applicability across Multiple Solid Tumors. Cancers. 16(5). 1045–1045. 9 indexed citations
3.
Elson, Daniel S., et al.. (2024). Calibration‐Jitter: Augmentation of hyperspectral data for improved surgical scene segmentation. Healthcare Technology Letters. 11(6). 345–354. 2 indexed citations
4.
Song, Jiawei, et al.. (2024). Computational Polarization Imaging In Vivo through Surgical Smoke Using Refined Polarization Difference. Advanced Science. 11(30). e2309998–e2309998. 4 indexed citations
5.
Leff, Daniel, et al.. (2024). Fluorescence guided surgery imaging systems for breast cancer identification: a systematic review. Journal of Biomedical Optics. 29(3). 30901–30901. 4 indexed citations
6.
Anichini, Giulio, et al.. (2024). Hyperspectral and multispectral imaging in neurosurgery: a systematic literature review and meta-analysis. European Journal of Surgical Oncology. 51(1). 108293–108293. 9 indexed citations
7.
Huang, Baoru, Anh Nguyen, Siyao Wang, et al.. (2022). Simultaneous Depth Estimation and Surgical Tool Segmentation in Laparoscopic Images. IEEE Transactions on Medical Robotics and Bionics. 4(2). 335–338. 15 indexed citations
8.
Elson, Daniel S., et al.. (2022). Guidance in breast-conserving surgery: tumour localizationversusidentification. British journal of surgery. 110(8). 920–922. 3 indexed citations
9.
Lin, Jianyu, Jintao Chang, Jacopo Antonello, et al.. (2022). Full Poincaré polarimetry enabled through physical inference. Optica. 9(10). 1109–1109. 12 indexed citations
10.
Huang, Baoru, et al.. (2020). Tracking and visualization of the sensing area for a tethered laparoscopic gamma probe. International Journal of Computer Assisted Radiology and Surgery. 15(8). 1389–1397. 11 indexed citations
11.
Qi, Ji, Daniel S. Elson, & Danail Stoyanov. (2019). Eigenvalue calibration method for 3 × 3 Mueller polarimeters. Optics Letters. 44(9). 2362–2362. 9 indexed citations
12.
Brunckhorst, Oliver, et al.. (2018). Novel real-time optical imaging modalities for the detection of neoplastic lesions in urology: a systematic review. Surgical Endoscopy. 33(5). 1349–1367. 8 indexed citations
13.
Qi, Ji, Chao He, & Daniel S. Elson. (2017). Real time complete Stokes polarimetric imager based on a linear polarizer array camera for tissue polarimetric imaging. Biomedical Optics Express. 8(11). 4933–4933. 65 indexed citations
14.
Singh, Mohan, David Harris‐Birtill, Sheraz R. Markar, George B. Hanna, & Daniel S. Elson. (2015). Application of gold nanoparticles for gastrointestinal cancer theranostics: A systematic review. Nanomedicine Nanotechnology Biology and Medicine. 11(8). 2083–2098. 82 indexed citations
15.
Marcu, Laura, P. M. W. French, & Daniel S. Elson. (2014). Fluorescence lifetime spectroscopy and imaging: Principles and applications in biomedical diagnostics. CRC Press eBooks. 28 indexed citations
16.
Maier‐Hein, Lena, Peter Mountney, Adrien Bartoli, et al.. (2013). Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery. Medical Image Analysis. 17(8). 974–996. 191 indexed citations
17.
Ebner, Marc, et al.. (2013). Multispectral Imaging using a Fast Filter Wheel System during Vascular Surgery. 3 indexed citations
18.
Elson, Daniel S., Rui Li, Christopher Dunsby, Robert J. Eckersley, & Meng‐Xing Tang. (2011). Ultrasound-mediated optical tomography: a review of current methods. Interface Focus. 1(4). 632–648. 58 indexed citations
19.
Elson, Daniel S., et al.. (2008). Solid-state semiconductors are better alternatives to arc-lamps for efficient and uniform illumination in minimal access surgery. Surgical Endoscopy. 23(3). 518–526. 16 indexed citations
20.
Galletly, Neil P., James McGinty, Jose Requejo‐Isidro, et al.. (2008). Fluorescence lifetime imaging distinguishes basal cell carcinoma from surrounding uninvolved skin. British Journal of Dermatology. 159(1). 152–161. 102 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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