Sarah E. Shelton

1.7k total citations · 1 hit paper
46 papers, 1.2k citations indexed

About

Sarah E. Shelton is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Sarah E. Shelton has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 24 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Oncology. Recurrent topics in Sarah E. Shelton's work include Ultrasound Imaging and Elastography (23 papers), Photoacoustic and Ultrasonic Imaging (22 papers) and Ultrasound and Hyperthermia Applications (20 papers). Sarah E. Shelton is often cited by papers focused on Ultrasound Imaging and Elastography (23 papers), Photoacoustic and Ultrasonic Imaging (22 papers) and Ultrasound and Hyperthermia Applications (20 papers). Sarah E. Shelton collaborates with scholars based in United States, Canada and Italy. Sarah E. Shelton's co-authors include Paul A. Dayton, Roger D. Kamm, Juan D. Rojas, Brooks D. Lindsey, David A. Barbie, Fanglue Lin, Gianmarco Pinton, David Espíndola, F. Stuart Foster and Mark F. Coughlin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Sarah E. Shelton

44 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Linking cell mechanical memory and cancer metastasis

2024 85 citations Elena Cambria, Mark F. Coughlin et al. Nature reviews. Cancer profile →

Peers

Sarah E. Shelton

RNMI

ONCOL

Alastair Thompson United Kingdom

Carmen Kut United States

James Tyrrell United States

Jürgen Jenne Germany

Radovan Jiřík Czechia

Alicia Martínez‐González Spain

Jeremy S. Bredfeldt United States

Paul Tadrous United Kingdom

Judit Zubovits Canada

Alastair Thompson United Kingdom

Sarah E. Shelton

553 ×0.7

636 ×1.3

RNMI

252 ×1.1

ONCOL

300 ×1.4

96 ×0.8

Citations per year, relative to Sarah E. Shelton Sarah E. Shelton (= 1×) peers Alastair Thompson

Countries citing papers authored by Sarah E. Shelton

Since Specialization

Citations

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

Fields of papers citing papers by Sarah E. Shelton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah E. Shelton

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Shelton. A scholar is included among the top collaborators of Sarah E. Shelton 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 Sarah E. Shelton. Sarah E. Shelton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shelton, Sarah E., et al.. (2025). In vivo trafficking of cancer-derived exosomes and their role in metastasis. SHILAP Revista de lepidopterología. 5. 100063–100063. 2 indexed citations

Cambria, Elena, Adriana Blazeski, Eunkyung Ko, et al.. (2025). A Vascular Microphysiological Model of Lung Fibrosis Reveals That Myofibroblasts and IPF Patient‐Derived Fibroblasts Impair Angiogenesis and Vasculogenesis. Advanced Functional Materials.

Nguyen, Huu Tuan, et al.. (2024). Utilizing convolutional neural networks for discriminating cancer and stromal cells in three-dimensional cell culture images with nuclei counterstain. Journal of Biomedical Optics. 29(S2). S22710–S22710. 1 indexed citations

Blazeski, Adriana, Yuzhi Zhang, Elamaran Meibalan, et al.. (2024). Engineering microvascular networks using a KLF2 reporter to probe flow-dependent endothelial cell function. Biomaterials. 311. 122686–122686. 7 indexed citations

Wan, Zhengpeng, Shun Zhang, Liling Xu, et al.. (2024). Transmural Flow Upregulates PD‐L1 Expression in Microvascular Networks. Advanced Science. 11(26). e2400921–e2400921. 3 indexed citations

Cambria, Elena, et al.. (2024). Linking cell mechanical memory and cancer metastasis. Nature reviews. Cancer. 24(3). 216–228. 85 indexed citations breakdown →

Offeddu, Giovanni S., Elena Cambria, Sarah E. Shelton, et al.. (2024). Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Biomechanical Determinants of Drug Delivery to the Tumor. Advanced Science. 11(38). e2402757–e2402757. 15 indexed citations

Shelton, Sarah E.. (2024). Vascular microphysiological systems. Current Opinion in Hematology. 31(3). 155–161. 4 indexed citations

Chen, Sophia, Adriana Blazeski, Shun Zhang, et al.. (2023). Development of a perfusable, hierarchical microvasculature-on-a-chip model. Lab on a Chip. 23(20). 4552–4564. 17 indexed citations

10.

Kim, Dae Joong, Piotr Przanowski, Sanchita Bhatnagar, et al.. (2023). Priming a vascular-selective cytokine response permits CD8+ T-cell entry into tumors. Nature Communications. 14(1). 2122–2122. 12 indexed citations

11.

Chen, Sophia, et al.. (2023). Impact of Fibrinogen, Fibrin Thrombi, and Thrombin on Cancer Cell Extravasation Using In Vitro Microvascular Networks. Advanced Healthcare Materials. 12(19). e2202984–e2202984. 18 indexed citations

12.

Campisi, Marco, Sarah E. Shelton, Minyue Chen, et al.. (2022). Engineered Microphysiological Systems for Testing Effectiveness of Cell-Based Cancer Immunotherapies. Cancers. 14(15). 3561–3561. 16 indexed citations

13.

Wan, Zhengpeng, Mark F. Coughlin, Shun Zhang, et al.. (2022). New Strategy for Promoting Vascularization in Tumor Spheroids in a Microfluidic Assay. Advanced Healthcare Materials. 12(14). e2201784–e2201784. 53 indexed citations

14.

Wan, Zhengpeng, Shun Zhang, Mark F. Coughlin, et al.. (2022). A Robust Method for Perfusable Microvascular Network Formation In Vitro. Small Methods. 6(6). e2200143–e2200143. 39 indexed citations

15.

Wan, Zhengpeng, Shun Zhang, Sarah E. Shelton, et al.. (2021). A robust vasculogenic microfluidic model using human immortalized endothelial cells and Thy1 positive fibroblasts. Biomaterials. 276. 121032–121032. 31 indexed citations

16.

Shelton, Sarah E., Huu Tuan Nguyen, David A. Barbie, & Roger D. Kamm. (2020). Engineering approaches for studying immune-tumor cell interactions and immunotherapy. iScience. 24(1). 101985–101985. 70 indexed citations

17.

Papadopoulou, Virginie, et al.. (2019). Ultrasound multiple scattering with microbubbles can differentiate between tumor and healthy tissue in vivo. Physics in Medicine and Biology. 64(11). 115022–115022. 7 indexed citations

18.

Lindsey, Brooks D., Sarah E. Shelton, K. Heath Martin, et al.. (2016). High Resolution Ultrasound Superharmonic Perfusion Imaging: In Vivo Feasibility and Quantification of Dynamic Contrast-Enhanced Acoustic Angiography. Annals of Biomedical Engineering. 45(4). 939–948. 24 indexed citations

19.

Dunleavey, James M., Lin Xiao, Joshua J. Thompson, et al.. (2014). Vascular channels formed by subpopulations of PECAM1+ melanoma cells. Nature Communications. 5(1). 5200–5200. 58 indexed citations

20.

Sciumè, Giuseppe, Sarah E. Shelton, William G. Gray, et al.. (2013). A multiphase model for three-dimensional tumor growth. New Journal of Physics. 15(1). 15005–15005. 103 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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