Darren Roblyer

2.8k total citations
87 papers, 1.8k citations indexed

About

Darren Roblyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Biophysics. According to data from OpenAlex, Darren Roblyer has authored 87 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Biomedical Engineering and 23 papers in Biophysics. Recurrent topics in Darren Roblyer's work include Optical Imaging and Spectroscopy Techniques (64 papers), Photoacoustic and Ultrasonic Imaging (41 papers) and Non-Invasive Vital Sign Monitoring (21 papers). Darren Roblyer is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (64 papers), Photoacoustic and Ultrasonic Imaging (41 papers) and Non-Invasive Vital Sign Monitoring (21 papers). Darren Roblyer collaborates with scholars based in United States, Canada and Brazil. Darren Roblyer's co-authors include Rebecca Richards‐Kortum, Ann M. Gillenwater, Raeef Istfan, Michelle D. Williams, Cristina Kurachi, Yanyu Zhao, Vanda M. Stepanek, Adel K. El‐Naggar, Syeda Tabassum and Matthew B. Applegate and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Darren Roblyer

84 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren Roblyer United States 27 1.1k 958 281 253 188 87 1.8k
Arjen Amelink Netherlands 25 1.1k 1.1× 1.0k 1.1× 367 1.3× 547 2.2× 152 0.8× 90 1.8k
Shuguang Guo United States 22 1.0k 1.0× 300 0.3× 237 0.8× 86 0.3× 138 0.7× 39 1.3k
Renato Marchesini Italy 31 952 0.9× 909 0.9× 393 1.4× 635 2.5× 135 0.7× 81 2.2k
Hsiang‐Chieh Lee United States 24 963 0.9× 357 0.4× 248 0.9× 176 0.7× 354 1.9× 72 1.4k
Valentin M. Gelikonov Russia 25 2.1k 2.0× 775 0.8× 604 2.1× 133 0.5× 341 1.8× 158 2.4k
Urs Utzinger United States 31 1.7k 1.6× 1.1k 1.1× 1.6k 5.7× 764 3.0× 359 1.9× 111 3.8k
Kirk W. Gossage United States 9 530 0.5× 309 0.3× 290 1.0× 136 0.5× 35 0.2× 20 890
Carmen Kut United States 13 429 0.4× 235 0.2× 185 0.7× 138 0.5× 69 0.4× 33 998
Sharon Thomsen United States 11 473 0.5× 478 0.5× 208 0.7× 293 1.2× 77 0.4× 13 1.0k
Yi‐Shing Lisa Cheng United States 20 218 0.2× 108 0.1× 163 0.6× 154 0.6× 163 0.9× 56 1.2k

Countries citing papers authored by Darren Roblyer

Since Specialization
Citations

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

Fields of papers citing papers by Darren Roblyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Roblyer

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Roblyer. A scholar is included among the top collaborators of Darren Roblyer 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 Darren Roblyer. Darren Roblyer 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.
Kim, Byungchan, Nil Z. Gurel, Edbert J. Sie, et al.. (2025). Speckle contrast optical spectroscopy for cuffless blood pressure estimation based on microvascular blood flow and volume oscillations. Biomedical Optics Express. 16(8). 3004–3004. 2 indexed citations
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Davison, Ian G., et al.. (2024). Robust speckle contrast imaging based on spatial covariance. Optica. 11(12). 1733–1733. 1 indexed citations
5.
Rodrigues, Antenor, Dmitry Rozenberg, Ewan C. Goligher, et al.. (2024). Continuous measurements of respiratory muscle blood flow and oxygen consumption using noninvasive frequency-domain near-infrared spectroscopy and diffuse correlation spectroscopy. Journal of Applied Physiology. 137(2). 382–393. 2 indexed citations
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Zhang, Sue, Kathryn Regan, Muhamed Hadzipasic, et al.. (2023). Intravital measurements of solid stresses in tumours reveal length-scale and microenvironmentally dependent force transmission. Nature Biomedical Engineering. 7(11). 1473–1492. 30 indexed citations
8.
Tilbury, Karissa, et al.. (2023). Fluorescence Lifetime Imaging Microscopy (FLIM) reveals spatial-metabolic changes in 3D breast cancer spheroids. Scientific Reports. 13(1). 3624–3624. 28 indexed citations
9.
Roblyer, Darren, et al.. (2022). Type-I Interferon Signaling Is Essential for Robust Metronomic Chemo-Immunogenic Tumor Regression in Murine Breast Cancer. Cancer Research Communications. 2(4). 246–257. 7 indexed citations
10.
Waxman, David J., et al.. (2022). Spatial frequency domain imaging for monitoring immune-mediated chemotherapy treatment response and resistance in a murine breast cancer model. Scientific Reports. 12(1). 5864–5864. 4 indexed citations
11.
Kang, Wenying, Jacopo Ferruzzi, Yu Long Han, et al.. (2021). A novel jamming phase diagram links tumor invasion to non-equilibrium phase separation. iScience. 24(11). 103252–103252. 52 indexed citations
12.
Applegate, Matthew B., et al.. (2020). Dual-DMD hyperspectral spatial frequency domain imaging (SFDI) using dispersed broadband illumination with a demonstration of blood stain spectral monitoring. Biomedical Optics Express. 12(1). 676–676. 5 indexed citations
13.
Zhao, Yanyu, Hannah Peterson, John Jiang, et al.. (2020). Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content. Nature Communications. 11(1). 5355–5355. 51 indexed citations
14.
Sunil, Smrithi, Şefik Evren Erdener, Xiaojun Cheng, et al.. (2020). Stroke core revealed by tissue scattering using spatial frequency domain imaging. NeuroImage Clinical. 29. 102539–102539. 8 indexed citations
15.
Pera, Vivian, et al.. (2018). Optical property uncertainty estimates for spatial frequency domain imaging. Biomedical Optics Express. 9(2). 661–661. 30 indexed citations
16.
Roblyer, Darren, et al.. (2013). Feasibility of direct digital sampling for diffuse optical frequency domain spectroscopy in tissue. Measurement Science and Technology. 24(4). 45501–45501. 18 indexed citations
17.
Rahman, Mohammed, Darren Roblyer, Vanda M. Stepanek, et al.. (2010). Evaluation of a low-cost, portable imaging system for early detection of oral cancer. Head & Neck Oncology. 2(1). 10–10. 49 indexed citations
18.
Roblyer, Darren, Cristina Kurachi, Vanda M. Stepanek, et al.. (2009). Objective Detection and Delineation of Oral Neoplasia Using Autofluorescence Imaging. Cancer Prevention Research. 2(5). 423–431. 122 indexed citations
19.
Roblyer, Darren, Rebecca Richards‐Kortum, Konstantin Sokolov, et al.. (2008). Multispectral optical imaging device for in vivo detection of oral neoplasia. Journal of Biomedical Optics. 13(2). 24019–24019. 122 indexed citations
20.
Roblyer, Darren, Sun Young Park, Rebecca Richards‐Kortum, Isaac F. Adewole, & Michele Follen. (2007). Objective screening for cervical cancer in developing nations: Lessons from Nigeria. Gynecologic Oncology. 107(1). S94–S97. 16 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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