Sam H. Au

1.8k total citations · 1 hit paper
25 papers, 1.3k citations indexed

About

Sam H. Au is a scholar working on Biomedical Engineering, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Sam H. Au has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 8 papers in Oncology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Sam H. Au's work include 3D Printing in Biomedical Research (10 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Cancer Cells and Metastasis (7 papers). Sam H. Au is often cited by papers focused on 3D Printing in Biomedical Research (10 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Cancer Cells and Metastasis (7 papers). Sam H. Au collaborates with scholars based in United Kingdom, United States and Canada. Sam H. Au's co-authors include Aaron R. Wheeler, Irena Barbulovic-Nad, Mehmet Toner, Shannon L. Stott, Shyamala Maheswaran, Daniel A. Haber, Steve C. C. Shih, Michael V. Sefton, M. Dean Chamberlain and A. Fatih Sarioglu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Langmuir and Scientific Reports.

In The Last Decade

Sam H. Au

24 papers receiving 1.3k citations

Hit Papers

Clusters of circulating tumor cells traverse capillary-si... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam H. Au United Kingdom 13 893 450 334 232 228 25 1.3k
Nikola Kojić United States 17 734 0.8× 312 0.7× 120 0.4× 268 1.2× 162 0.7× 30 1.5k
Joseph M. Martel United States 10 1.5k 1.6× 391 0.9× 352 1.1× 193 0.8× 192 0.8× 13 1.8k
Fabio Fachin United States 12 934 1.0× 514 1.1× 240 0.7× 227 1.0× 291 1.3× 20 1.3k
Guofeng Guan Singapore 15 1.2k 1.4× 326 0.7× 356 1.1× 230 1.0× 184 0.8× 20 1.6k
Amy Y. Hsiao United States 11 1.8k 2.0× 846 1.9× 81 0.2× 472 2.0× 119 0.5× 15 2.4k
Keith H.K. Wong United States 17 1.0k 1.2× 455 1.0× 109 0.3× 438 1.9× 196 0.9× 40 1.6k
M. Dean Chamberlain Canada 26 1.3k 1.5× 129 0.3× 487 1.5× 633 2.7× 64 0.3× 38 2.1k
Malini Mukherjee United States 17 523 0.6× 1.0k 2.3× 196 0.6× 554 2.4× 65 0.3× 41 1.6k
Yuji Nashimoto Japan 20 1.0k 1.2× 257 0.6× 157 0.5× 451 1.9× 39 0.2× 66 1.5k
Fabian Spill United Kingdom 15 380 0.4× 368 0.8× 43 0.1× 381 1.6× 173 0.8× 33 1.2k

Countries citing papers authored by Sam H. Au

Since Specialization
Citations

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

Fields of papers citing papers by Sam H. Au

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam H. Au. 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 Sam H. Au. The network helps show where Sam H. Au may publish in the future.

Co-authorship network of co-authors of Sam H. Au

This figure shows the co-authorship network connecting the top 25 collaborators of Sam H. Au. A scholar is included among the top collaborators of Sam H. Au 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 Sam H. Au. Sam H. Au 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.
Bazban‐Shotorbani, Salime, Brian C. Cunningham, Mathew Carter, et al.. (2025). Circulating Tumor Cells Shed Shearosome Extracellular Vesicles in Capillary Bifurcations That Activate Endothelial and Immune Cells. Advanced Science. 12(31). e06339–e06339.
2.
Au, Sam H., et al.. (2024). Nuclear rupture induced by capillary constriction forces promotes differential effects on metastatic and normal breast cells. Scientific Reports. 14(1). 14793–14793. 6 indexed citations
3.
Cunningham, Brian C., et al.. (2023). Capillary‐Scale Hydrogel Microchannel Networks by Wire Templating. Small. 19(42). e2301163–e2301163. 12 indexed citations
4.
Au, Sam H.. (2023). Circulating Tumor Cell Cluster Sorting by Size and Asymmetry. Methods in molecular biology. 2679. 15–23. 1 indexed citations
5.
Cunningham, Brian C., et al.. (2023). Capillary‐Scale Hydrogel Microchannel Networks by Wire Templating (Small 42/2023). Small. 19(42). 1 indexed citations
6.
Bakal, Chris, et al.. (2021). Arresting metastasis within the microcirculation. Clinical & Experimental Metastasis. 38(4). 337–342. 12 indexed citations
7.
Au, Sam H., et al.. (2020). Squeezing through the microcirculation: survival adaptations of circulating tumour cells to seed metastasis. British Journal of Cancer. 124(1). 58–65. 55 indexed citations
8.
Au, Sam H., et al.. (2020). Hybrid 3D printed-paper microfluidics. Scientific Reports. 10(1). 18379–18379. 37 indexed citations
9.
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
10.
Au, Sam H.. (2018). Dissolving microneedle vaccination—No magic needled. Science Translational Medicine. 10(460). 6 indexed citations
11.
Au, Sam H., Jon Edd, Amy E. Stoddard, et al.. (2017). Microfluidic Isolation of Circulating Tumor Cell Clusters by Size and Asymmetry. Scientific Reports. 7(1). 2433–2433. 177 indexed citations
12.
Au, Sam H., Jon Edd, Daniel A. Haber, et al.. (2017). Clusters of circulating tumor cells: A biophysical and technological perspective. Current Opinion in Biomedical Engineering. 3. 13–19. 33 indexed citations
13.
Goral, Vasiliy N., Sam H. Au, Ronald A. Faris, & Po Ki Yuen. (2014). Methods for advanced hepatocyte cell culture in microwells utilizing air bubbles. Lab on a Chip. 15(4). 1032–1037. 10 indexed citations
14.
Au, Sam H., et al.. (2014). Hepatic organoids for microfluidic drug screening. Lab on a Chip. 14(17). 3290–3290. 131 indexed citations
15.
Au, Sam H., Ryan Fobel, Salil P. Desai, Joel Voldman, & Aaron R. Wheeler. (2013). Cellular bias on the microscale: probing the effects of digital microfluidic actuation on mammalian cell health, fitness and phenotype. Integrative Biology. 5(8). 1014–1014. 25 indexed citations
16.
Fiddes, Lindsey K., Vivienne N. Luk, Sam H. Au, et al.. (2012). Hydrogel discs for digital microfluidics. Biomicrofluidics. 6(1). 14112–1411211. 37 indexed citations
17.
McHugh, David, José E. Abdenur, Mahera Abdulrahman, et al.. (2011). Genetics in Medicine : Official Journal of the American College of Medical Genetics. 23 indexed citations
18.
Au, Sam H., et al.. (2011). A New Angle on Pluronic Additives: Advancing Droplets and Understanding in Digital Microfluidics. Langmuir. 27(13). 8586–8594. 93 indexed citations
19.
Au, Sam H., Steve C. C. Shih, & Aaron R. Wheeler. (2010). Integrated microbioreactor for culture and analysis of bacteria, algae and yeast. Biomedical Microdevices. 13(1). 41–50. 92 indexed citations
20.
Barbulovic-Nad, Irena, Sam H. Au, & Aaron R. Wheeler. (2010). A microfluidic platform for complete mammalian cell culture. Lab on a Chip. 10(12). 1536–1536. 185 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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