Janet E. Sorrells

506 total citations
36 papers, 350 citations indexed

About

Janet E. Sorrells is a scholar working on Biophysics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Janet E. Sorrells has authored 36 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biophysics, 18 papers in Biomedical Engineering and 12 papers in Molecular Biology. Recurrent topics in Janet E. Sorrells's work include Advanced Fluorescence Microscopy Techniques (21 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Optical Coherence Tomography Applications (7 papers). Janet E. Sorrells is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (21 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Optical Coherence Tomography Applications (7 papers). Janet E. Sorrells collaborates with scholars based in United States, United Kingdom and China. Janet E. Sorrells's co-authors include Stephen A. Boppart, Marina Marjanović, Eric J. Chaney, Danielle S. W. Benoit, Dominic W. Malcolm, Haohua Tu, Lingxiao Yang, Catherine E. Ovitt, Ronit Barkalifa and Sixian You and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Cancer Research.

In The Last Decade

Janet E. Sorrells

31 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet E. Sorrells United States 10 171 151 149 50 32 36 350
Nadezhda Ignatova Russia 10 220 1.3× 83 0.5× 141 0.9× 78 1.6× 39 1.2× 40 462
Lily H. Laiho United States 6 121 0.7× 233 1.5× 211 1.4× 16 0.3× 60 1.9× 11 577
Yolanda Stypula‐Cyrus United States 11 246 1.4× 143 0.9× 110 0.7× 40 0.8× 39 1.2× 15 449
Michela Perrone Donnorso Italy 8 137 0.8× 263 1.7× 179 1.2× 13 0.3× 6 0.2× 9 489
Christoph Pohling United States 11 115 0.7× 121 0.8× 128 0.9× 53 1.1× 37 1.2× 17 395
Christof Buehler United States 12 341 2.0× 279 1.8× 242 1.6× 53 1.1× 102 3.2× 17 667
The‐Quyen Nguyen United States 9 83 0.5× 213 1.4× 181 1.2× 12 0.2× 76 2.4× 17 335
Peter F. Favreau United States 11 80 0.5× 156 1.0× 186 1.2× 21 0.4× 150 4.7× 25 403
Francesco Cutrale United States 10 161 0.9× 182 1.2× 101 0.7× 5 0.1× 60 1.9× 15 345
Vitor B. Pelegati Brazil 13 99 0.6× 143 0.9× 143 1.0× 33 0.7× 27 0.8× 32 403

Countries citing papers authored by Janet E. Sorrells

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Sorrells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet E. Sorrells. 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 Janet E. Sorrells. The network helps show where Janet E. Sorrells may publish in the future.

Co-authorship network of co-authors of Janet E. Sorrells

This figure shows the co-authorship network connecting the top 25 collaborators of Janet E. Sorrells. A scholar is included among the top collaborators of Janet E. Sorrells 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 Janet E. Sorrells. Janet E. Sorrells 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.
Yang, Lingxiao, et al.. (2025). Polarimetric coherent anti-Stokes Raman scattering microscopy of collagen. Optics Letters. 50(12). 4010–4010.
2.
Ho, Alexander, Eric J. Chaney, Janet E. Sorrells, et al.. (2025). Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning. Communications Biology. 8(1). 157–157. 1 indexed citations
3.
Ho, Alexander, Janet E. Sorrells, Edita Aksamitiene, et al.. (2025). Dynamic imaging of magnetic bioeffects in cells using multiphoton autofluorescence intensity and lifetime microscopy. 24–24.
4.
Yang, Lingxiao, et al.. (2024). Temporally optimized and spectrally shaped hyperspectral coherent anti-Stokes Raman scattering microscopy. Optics Express. 32(7). 11474–11474. 4 indexed citations
5.
6.
Yang, Lingxiao, et al.. (2024). Dispersion mismatch correction for evident chromatic anomaly in low coherence interferometry. APL Photonics. 9(7). 76114–76114. 2 indexed citations
7.
8.
Sorrells, Janet E., et al.. (2024). Programmable hyperspectral coherent anti-Stokes Raman scattering microscopy. Optics Letters. 49(9). 2513–2513. 2 indexed citations
9.
Sorrells, Janet E., et al.. (2024). Analog multiplexing of a laser clock and computational photon counting for fast fluorescence lifetime imaging microscopy. Biomedical Optics Express. 15(4). 2048–2048. 3 indexed citations
10.
Sorrells, Janet E., Edita Aksamitiene, Marina Marjanović, et al.. (2024). Label-free nonlinear optical signatures of extracellular vesicles in liquid and tissue biopsies of human breast cancer. Scientific Reports. 14(1). 5528–5528. 5 indexed citations
11.
Zhang, Chi, et al.. (2024). Large field-of-view metabolic profiling of murine brain tissue following morphine incubation using label-free multiphoton microscopy. Journal of Neuroscience Methods. 408. 110171–110171. 1 indexed citations
12.
13.
Wang, Geng, et al.. (2024). Stable high-peak-power fiber supercontinuum generation for adaptive femtosecond biophotonics. Advanced Photonics Nexus. 3(4). 3 indexed citations
14.
Roh, Terrence T., Aneesh Alex, Prasanna M. Chandramouleeswaran, et al.. (2024). Predicting DNA damage response in non-small cell lung cancer organoids via simultaneous label-free autofluorescence multiharmonic microscopy. Redox Biology. 75. 103280–103280. 2 indexed citations
15.
Sorrells, Janet E., Eric J. Chaney, Amro M. Abdelrahman, et al.. (2023). In vivo label-free optical signatures of chemotherapy response in human pancreatic ductal adenocarcinoma patient-derived xenografts. Communications Biology. 6(1). 980–980. 4 indexed citations
16.
Yang, Lingxiao, Janet E. Sorrells, Liang Sun, et al.. (2022). Tracking the binding of multi‐functional fluorescent tags for Alzheimer's disease using quantitative multiphoton microscopy. Journal of Biophotonics. 15(9). e202200105–e202200105. 3 indexed citations
17.
Sorrells, Janet E., Lingxiao Yang, Eric J. Chaney, et al.. (2022). Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics. Scientific Reports. 12(1). 3438–3438. 15 indexed citations
18.
Sorrells, Janet E., Lingxiao Yang, Andrew J. Bower, et al.. (2021). Real-time pixelwise phasor analysis for video-rate two-photon fluorescence lifetime imaging microscopy. Biomedical Optics Express. 12(7). 4003–4003. 17 indexed citations
19.
Sorrells, Janet E., Lingxiao Yang, Eric J. Chaney, et al.. (2021). Single-photon peak event detection (SPEED): a computational method for fast photon counting in fluorescence lifetime imaging microscopy. Optics Express. 29(23). 37759–37759. 20 indexed citations
20.
Bower, Andrew J., Janet E. Sorrells, Joanne Li, et al.. (2019). Tracking metabolic dynamics of apoptosis with high-speed two-photon fluorescence lifetime imaging microscopy. Biomedical Optics Express. 10(12). 6408–6408. 26 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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