Angelo S. Mao

6.5k total citations · 4 hit papers
26 papers, 4.9k citations indexed

About

Angelo S. Mao is a scholar working on Biomedical Engineering, Molecular Biology and Cell Biology. According to data from OpenAlex, Angelo S. Mao has authored 26 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 6 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Angelo S. Mao's work include 3D Printing in Biomedical Research (12 papers), Cellular Mechanics and Interactions (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Angelo S. Mao is often cited by papers focused on 3D Printing in Biomedical Research (12 papers), Cellular Mechanics and Interactions (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Angelo S. Mao collaborates with scholars based in United States, Switzerland and China. Angelo S. Mao's co-authors include David Mooney, Praveen Arany, Omar A. Ali, Sidi A. Bencherif, Dmitry Shvartsman, José Rivera‐Feliciano, Nathaniel Huebsch, David A. Weitz, Jae‐Won Shin and Stefanie Utech and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Angelo S. Mao

26 papers receiving 4.8k 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.

Harnessing traction-mediated manipulation of the cell/matrix interface to control stem-cell fate

2010 1.3k citations Nathaniel Huebsch, Praveen Arany et al. Nature Materials profile →
Regenerative medicine: Current therapies and future directions

2015 631 citations Angelo S. Mao, David Mooney Proceedings of the National Academy of Sciences profile →
Cell volume change through water efflux impacts cell stiffness and stem cell fate

2017 366 citations Ming Guo, Adrian F. Pegoraro et al. Proceedings of the National Academy of Sciences profile →
Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants

2021 236 citations Helena de Puig, Rose Lee et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angelo S. Mao United States	21	2.9k	1.3k	1.1k	838	598	26	4.9k
Marcy Zenobi‐Wong Switzerland	57	4.6k 1.6×	1.3k 1.0×	912 0.9×	1.9k 2.3×	1.8k 3.0×	169	9.2k
Murat Güvendiren United States	31	4.1k 1.4×	682 0.5×	1.2k 1.1×	1.6k 1.9×	829 1.4×	63	6.5k
Pınar Zorlutuna United States	31	3.7k 1.2×	769 0.6×	504 0.5×	1.4k 1.7×	1.1k 1.8×	82	5.0k
Jordan S. Miller United States	32	4.9k 1.7×	929 0.7×	1.1k 1.1×	1.6k 1.9×	1.1k 1.8×	50	6.5k
Joe Tien United States	35	5.0k 1.7×	1.5k 1.2×	2.4k 2.2×	1.1k 1.4×	680 1.1×	68	7.9k
Yongdoo Park South Korea	34	2.4k 0.8×	686 0.5×	672 0.6×	1.5k 1.7×	939 1.6×	128	4.5k
Peter A. Galie United States	24	3.4k 1.1×	950 0.7×	738 0.7×	965 1.2×	887 1.5×	56	5.1k
Song Li United States	45	3.2k 1.1×	2.0k 1.6×	1.1k 1.1×	1.7k 2.0×	1.8k 3.1×	179	7.6k
Keekyoung Kim Canada	34	4.5k 1.5×	579 0.5×	234 0.2×	1.1k 1.4×	818 1.4×	86	5.9k
Michiya Matsusaki Japan	43	3.2k 1.1×	1.1k 0.8×	347 0.3×	2.2k 2.6×	1.0k 1.7×	249	6.2k

Countries citing papers authored by Angelo S. Mao

Since Specialization

Citations

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

Fields of papers citing papers by Angelo S. Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo S. Mao. 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 Angelo S. Mao. The network helps show where Angelo S. Mao may publish in the future.

Co-authorship network of co-authors of Angelo S. Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo S. Mao. A scholar is included among the top collaborators of Angelo S. Mao 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 Angelo S. Mao. Angelo S. Mao 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

Özkale, Berna, Junzhe Lou, Alberto Elósegui-Artola, et al.. (2022). Actuated 3D microgels for single cell mechanobiology. Lab on a Chip. 22(10). 1962–1970. 15 indexed citations

Puig, Helena de, Rose Lee, Devora Najjar, et al.. (2021). Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants. Science Advances. 7(32). 236 indexed citations breakdown →

Zhao, Evan M., Angelo S. Mao, Helena de Puig, et al.. (2021). RNA-responsive elements for eukaryotic translational control. Nature Biotechnology. 40(4). 539–545. 58 indexed citations

Li, Yiwei, Angelo S. Mao, Bo Ri Seo, et al.. (2021). Generation of the Compression-induced Dedifferentiated Adipocytes (CiDAs) Using Hypertonic Medium. BIO-PROTOCOL. 11(4). e3920–e3920. 3 indexed citations

Li, Yiwei, Angelo S. Mao, Bo Ri Seo, et al.. (2020). Compression-induced dedifferentiation of adipocytes promotes tumor progression. Science Advances. 6(4). eaax5611–eaax5611. 75 indexed citations

Shah, Nisarg J., Alexander J. Najibi, Ting‐Yu Shih, et al.. (2020). A biomaterial-based vaccine eliciting durable tumour-specific responses against acute myeloid leukaemia. Nature Biomedical Engineering. 4(1). 40–51. 96 indexed citations

Puig, Helena de, Max A. English, Luis R. Soenksen, et al.. (2020). Creating CRISPR-responsive smart materials for diagnostics and programmable cargo release. Nature Protocols. 15(9). 3030–3063. 61 indexed citations

Mao, Angelo S., Berna Özkale, Nisarg J. Shah, et al.. (2019). Programmable microencapsulation for enhanced mesenchymal stem cell persistence and immunomodulation. Proceedings of the National Academy of Sciences. 116(31). 15392–15397. 150 indexed citations

Shah, Nisarg J., Angelo S. Mao, Ting‐Yu Shih, et al.. (2019). An injectable bone marrow–like scaffold enhances T cell immunity after hematopoietic stem cell transplantation. Nature Biotechnology. 37(3). 293–302. 84 indexed citations

10.

Bauleth‐Ramos, Tomás, Ting‐Yu Shih, Mohammad‐Ali Shahbazi, et al.. (2019). Acetalated Dextran Nanoparticles Loaded into an Injectable Alginate Cryogel for Combined Chemotherapy and Cancer Vaccination. Advanced Functional Materials. 29(35). 61 indexed citations

11.

English, Max A., Luis R. Soenksen, Helena de Puig, et al.. (2019). Programmable CRISPR-responsive smart materials. Science. 365(6455). 780–785. 289 indexed citations

12.

Darnell, Max, Alison O’Neil, Angelo S. Mao, et al.. (2018). Material microenvironmental properties couple to induce distinct transcriptional programs in mammalian stem cells. Proceedings of the National Academy of Sciences. 115(36). E8368–E8377. 99 indexed citations

13.

Zhang, Liyuan, Kaiwen Chen, Haoyue Zhang, et al.. (2018). Microfluidic Templated Multicompartment Microgels for 3D Encapsulation and Pairing of Single Cells. Small. 14(9). 151 indexed citations

14.

Guo, Ming, Adrian F. Pegoraro, Angelo S. Mao, et al.. (2017). Cell volume change through water efflux impacts cell stiffness and stem cell fate. Proceedings of the National Academy of Sciences. 114(41). E8618–E8627. 366 indexed citations breakdown →

15.

Hu, Yuebi, Angelo S. Mao, Rajiv M. Desai, et al.. (2017). Controlled self-assembly of alginate microgels by rapidly binding molecule pairs. Lab on a Chip. 17(14). 2481–2490. 34 indexed citations

16.

Lienemann, Philipp S., Torsten Rossow, Angelo S. Mao, et al.. (2017). Single cell-laden protease-sensitive microniches for long-term culture in 3D. Lab on a Chip. 17(4). 727–737. 47 indexed citations

17.

Mao, Angelo S., Jae‐Won Shin, & David Mooney. (2016). Effects of substrate stiffness and cell-cell contact on mesenchymal stem cell differentiation. Biomaterials. 98. 184–191. 229 indexed citations

18.

Utech, Stefanie, Radivoje Prodanović, Angelo S. Mao, et al.. (2015). Microfluidic Generation of Monodisperse, Structurally Homogeneous Alginate Microgels for Cell Encapsulation and 3D Cell Culture. Advanced Healthcare Materials. 4(11). 1628–1633. 294 indexed citations

19.

Fusco, Stefano, Mahmut Selman Sakar, Stephen Kennedy, et al.. (2014). Targeted Delivery: An Integrated Microrobotic Platform for On‐Demand, Targeted Therapeutic Interventions (Adv. Mater. 6/2014). Advanced Materials. 26(6). 951–951. 4 indexed citations

20.

Huebsch, Nathaniel, Praveen Arany, Angelo S. Mao, et al.. (2010). Harnessing traction-mediated manipulation of the cell/matrix interface to control stem-cell fate. Nature Materials. 9(6). 518–526. 1294 indexed citations breakdown →

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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