Shannon L. Stott

26.8k total citations · 5 hit papers
62 papers, 8.3k citations indexed

About

Shannon L. Stott is a scholar working on Biomedical Engineering, Oncology and Cancer Research. According to data from OpenAlex, Shannon L. Stott has authored 62 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 30 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Shannon L. Stott's work include Cancer Cells and Metastasis (26 papers), 3D Printing in Biomedical Research (18 papers) and Microfluidic and Bio-sensing Technologies (17 papers). Shannon L. Stott is often cited by papers focused on Cancer Cells and Metastasis (26 papers), 3D Printing in Biomedical Research (18 papers) and Microfluidic and Bio-sensing Technologies (17 papers). Shannon L. Stott collaborates with scholars based in United States, Netherlands and Taiwan. Shannon L. Stott's co-authors include Mehmet Toner, Shyamala Maheswaran, Daniel A. Haber, Min Yu, David T. Ting, Sridhar Ramaswamy, Ben S. Wittner, Aditya Bardia, Maria Donaldson Collier and Lecia V. Sequist and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Shannon L. Stott

60 papers receiving 8.2k citations

Hit Papers

5 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.

Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition

2013 1.9k citations Min Yu, Aditya Bardia et al. Science profile →
Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis

2014 1.8k citations Nicola Aceto, Aditya Bardia et al. Cell profile →
Circulating tumor cells: approaches to isolation and characterization

2011 863 citations Min Yu, Shannon L. Stott et al. profile →
Microfluidic, marker-free isolation of circulating tumor cells from blood samples

2014 593 citations Fabio Fachin, Eugene J. Lim et al. profile →
Clusters of circulating tumor cells traverse capillary-sized vessels

2016 366 citations Sam H. Au, Sarah Javaid et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shannon L. Stott United States	31	4.9k	3.2k	3.1k	2.6k	1.1k	62	8.3k
Sunitha Nagrath United States	39	4.6k 0.9×	4.5k 1.4×	3.2k 1.0×	3.0k 1.2×	1.5k 1.4×	107	9.4k
David T. Ting United States	37	4.4k 0.9×	1.4k 0.4×	2.9k 0.9×	3.6k 1.4×	1.1k 1.0×	123	8.4k
Catherine Alix‐Panabières France	48	7.6k 1.5×	2.4k 0.7×	6.8k 2.2×	3.8k 1.5×	2.7k 2.6×	152	11.8k
Wolfgang Mueller‐Klieser Germany	36	2.0k 0.4×	1.8k 0.6×	3.3k 1.0×	3.5k 1.4×	657 0.6×	69	7.8k
John W. Park United States	55	3.3k 0.7×	2.2k 0.7×	1.3k 0.4×	5.6k 2.1×	1.3k 1.2×	130	11.2k
Jeri Matera United States	9	6.3k 1.3×	2.1k 0.6×	4.3k 1.4×	1.6k 0.6×	2.2k 2.1×	16	8.1k
Kristian Pietras Sweden	46	4.3k 0.9×	1.5k 0.5×	2.6k 0.8×	6.4k 2.4×	1.8k 1.6×	99	12.2k
W. Jeffrey Allard United States	25	6.4k 1.3×	2.1k 0.6×	4.5k 1.4×	3.3k 1.3×	2.9k 2.7×	50	11.8k
Gerald V. Doyle United States	24	9.6k 1.9×	2.9k 0.9×	6.8k 2.2×	2.5k 0.9×	3.7k 3.5×	39	12.4k
Patrizia Paterlini-Bréchot France	39	2.3k 0.5×	953 0.3×	1.4k 0.5×	1.8k 0.7×	721 0.7×	91	6.8k

Countries citing papers authored by Shannon L. Stott

Since Specialization

Citations

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

Fields of papers citing papers by Shannon L. Stott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon L. Stott. 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 Shannon L. Stott. The network helps show where Shannon L. Stott may publish in the future.

Co-authorship network of co-authors of Shannon L. Stott

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ahmad, Raheel, Berent Aldikacti, Diane E. Capen, et al.. (2025). Signal Amplification for Fluorescent Staining of Single Particles in Liquid Biopsies: Circulating Tumour Cells and Extracellular Vesicles. Journal of Extracellular Vesicles. 14(10). e70167–e70167.

Bryan, Michael, Ross D. Merkin, Thomas J. Roberts, et al.. (2025). Spatial characterization of tertiary lymphoid structures as predictive biomarkers for immune checkpoint blockade in head and neck squamous cell carcinoma. OncoImmunology. 14(1). 2466308–2466308. 1 indexed citations

Wise, Jillian F., João Paulo Oliveira–Costa, Peter M. Sadow, et al.. (2024). Dendritic cell effector mechanisms and tumor immune microenvironment infiltration define TLR8 modulation and PD-1 blockade. Frontiers in Immunology. 15. 1440530–1440530. 1 indexed citations

Rabe, Daniel C., et al.. (2023). Aryl‐Diazonium Salts Offer a Rapid and Cost‐Efficient Method to Functionalize Plastic Microfluidic Devices for Increased Immunoaffinity Capture. Advanced Materials Technologies. 8(16). 4 indexed citations

Tessier, Shannon N., Reinier J. de Vries, Stephanie E. J. Cronin, et al.. (2022). Partial freezing of rat livers extends preservation time by 5-fold. Nature Communications. 13(1). 4008–4008. 41 indexed citations

Tessier, Shannon N., Uyen Ho, Alona Muzikansky, et al.. (2021). Isolation of intact extracellular vesicles from cryopreserved samples. PLoS ONE. 16(5). e0251290–e0251290. 13 indexed citations

Rabe, Daniel C., Nykia D. Walker, Felicia Rustandy, et al.. (2021). Tumor Extracellular Vesicles Regulate Macrophage-Driven Metastasis through CCL5. Cancers. 13(14). 3459–3459. 35 indexed citations

Vries, Reinier J. de, Stephanie E. J. Cronin, Ehab Hafiz, et al.. (2020). Cell release during perfusion reflects cold ischemic injury in rat livers. Scientific Reports. 10(1). 1102–1102. 17 indexed citations

Zachariah, Marcus, João Paulo Oliveira–Costa, Bob S. Carter, Shannon L. Stott, & Brian V. Nahed. (2018). Blood-based biomarkers for the diagnosis and monitoring of gliomas. Neuro-Oncology. 20(9). 1155–1161. 75 indexed citations

10.

Wong, Keith H.K., Jon F., Shannon N. Tessier, et al.. (2018). Anti-thrombotic strategies for microfluidic blood processing. Lab on a Chip. 18(15). 2146–2155. 12 indexed citations

11.

Tessier, Shannon N., Lindong Weng, Sam H. Au, et al.. (2018). Effect of Ice Nucleation and Cryoprotectants during High Subzero-Preservation in Endothelialized Microchannels. ACS Biomaterials Science & Engineering. 4(8). 3006–3015. 22 indexed citations

12.

Park, Myoung‐Hwan, Eduardo Reátegui, Wei Li, et al.. (2017). Enhanced Isolation and Release of Circulating Tumor Cells Using Nanoparticle Binding and Ligand Exchange in a Microfluidic Chip. Journal of the American Chemical Society. 139(7). 2741–2749. 242 indexed citations

13.

Jiang, Xiaocheng, Keith H.K. Wong, Aimal H. Khankhel, et al.. (2017). Microfluidic isolation of platelet-covered circulating tumor cells. Lab on a Chip. 17(20). 3498–3503. 115 indexed citations

14.

Javaid, Sarah, Jianmin Zhang, Gromoslaw A. Smolen, et al.. (2015). MAPK7 Regulates EMT Features and Modulates the Generation of CTCs. Molecular Cancer Research. 13(5). 934–943. 35 indexed citations

15.

Li, Wei, Eduardo Reátegui, Myoung‐Hwan Park, et al.. (2015). Biodegradable nano-films for capture and non-invasive release of circulating tumor cells. Biomaterials. 65. 93–102. 67 indexed citations

16.

Aceto, Nicola, Eugene J. Lim, James P. Sullivan, et al.. (2015). Tunable Nanostructured Coating for the Capture and Selective Release of Viable Circulating Tumor Cells. DSpace@MIT (Massachusetts Institute of Technology). 29 indexed citations

17.

Reátegui, Eduardo, Nicola Aceto, Eugene J. Lim, et al.. (2015). Tunable Nanostructured Coating for the Capture and Selective Release of Viable Circulating Tumor Cells. Advanced Materials. 27(9). 1593–1599. 147 indexed citations

18.

Aceto, Nicola, Aditya Bardia, David T. Miyamoto, et al.. (2014). Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis. Cell. 158(5). 1110–1122. 1786 indexed citations breakdown →

19.

Yu, Min, Aditya Bardia, Ben S. Wittner, et al.. (2013). Circulating Breast Tumor Cells Exhibit Dynamic Changes in Epithelial and Mesenchymal Composition. Science. 339(6119). 580–584. 1928 indexed citations breakdown →

20.

Miyamoto, David T., Richard J. Lee, Shannon L. Stott, et al.. (2012). Androgen Receptor Signaling in Circulating Tumor Cells as a Marker of Hormonally Responsive Prostate Cancer. Cancer Discovery. 2(11). 995–1003. 217 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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