Michael Mak

1.8k total citations
56 papers, 1.3k citations indexed

About

Michael Mak is a scholar working on Cell Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Michael Mak has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cell Biology, 31 papers in Biomedical Engineering and 13 papers in Oncology. Recurrent topics in Michael Mak's work include Cellular Mechanics and Interactions (29 papers), 3D Printing in Biomedical Research (23 papers) and Cancer Cells and Metastasis (10 papers). Michael Mak is often cited by papers focused on Cellular Mechanics and Interactions (29 papers), 3D Printing in Biomedical Research (23 papers) and Cancer Cells and Metastasis (10 papers). Michael Mak collaborates with scholars based in United States, China and United Kingdom. Michael Mak's co-authors include Roger D. Kamm, David Erickson, Andrea Malandrino, Muhammad H. Zaman, Cynthia A. Reinhart‐King, Emad Moeendarbary, Zhimin Tao, Fabian Spill, Taeyoon Kim and Xavier Trepat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Michael Mak

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Mak United States 20 611 598 343 299 113 56 1.3k
Colin D. Paul United States 14 585 1.0× 816 1.4× 421 1.2× 462 1.5× 70 0.6× 16 1.4k
Philipp Oertle Switzerland 14 579 0.9× 822 1.4× 375 1.1× 374 1.3× 103 0.9× 18 1.6k
Marsha C. Lampi United States 11 374 0.6× 517 0.9× 341 1.0× 227 0.8× 80 0.7× 13 1.2k
Theresa A. Ulrich United States 8 759 1.2× 825 1.4× 433 1.3× 337 1.1× 181 1.6× 10 2.0k
Matthew R. Zanotelli United States 15 536 0.9× 597 1.0× 557 1.6× 323 1.1× 189 1.7× 22 1.4k
Agustí Brugués Spain 9 646 1.1× 977 1.6× 400 1.2× 370 1.2× 49 0.4× 9 1.5k
Ivory Dean United States 8 368 0.6× 562 0.9× 380 1.1× 528 1.8× 74 0.7× 9 1.2k
Alistair Rice United Kingdom 13 332 0.5× 511 0.9× 441 1.3× 416 1.4× 150 1.3× 21 1.4k
Olga Ilina Netherlands 11 484 0.8× 615 1.0× 408 1.2× 531 1.8× 77 0.7× 13 1.4k
E. Tim O’Brien United States 8 376 0.6× 553 0.9× 323 0.9× 189 0.6× 45 0.4× 9 1.0k

Countries citing papers authored by Michael Mak

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Mak. 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 Michael Mak. The network helps show where Michael Mak may publish in the future.

Co-authorship network of co-authors of Michael Mak

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mak. A scholar is included among the top collaborators of Michael Mak 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 Michael Mak. Michael Mak 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.
Gong, Xiangyu, M. Fátima Leite, Dingyao Zhang, et al.. (2025). Adaptation to Volumetric Compression Drives an Apoptosis-Resistant and Invasive Phenotype in Liver Cancer. Cancer Research. 85(16). 3156–3175.
2.
He, Helen, Xiangyu Gong, Susan T. Iannaccone, et al.. (2025). Epidermal stem cells control periderm injury repair via matrix-driven specialization of intercellular junctions. Nature Communications. 16(1). 8967–8967.
3.
Gong, Xiangyu, et al.. (2025). Macromolecular crowding-based biofabrication utilizing unmodified extracellular matrix bioinks. Acta Biomaterialia. 198. 37–48.
4.
Bacchiocchi, Antonella, Michael Mak, Xiangyu Gong, et al.. (2025). LZTR1 is a melanoma oncogene that promotes invasion and suppresses apoptosis. Oncogene. 44(41). 3974–3984.
5.
Wang, Shue, Bo Wang, Yue Yan, et al.. (2025). Nanoparticle-mediated bone regeneration: From molecular mechanisms to clinical translation. Journal of Controlled Release. 389. 114409–114409.
6.
Anderson, Christopher W., Xin Li, Yongbo Lu, et al.. (2025). Advanced tissue-engineered pulsatile conduit using human induced pluripotent stem cell-derived cardiomyocytes. Acta Biomaterialia. 211. 92–103.
7.
Gong, Xiangyu, et al.. (2024). Proteolysis and Contractility Regulate Tissue Opening and Wound Healing by Lung Fibroblasts in 3D Microenvironments. Advanced Healthcare Materials. 13(30). e2400941–e2400941. 3 indexed citations
8.
Chen, Yanxia, Hui Qian, Michael Mak, & Zhimin Tao. (2024). Protocol for isolating and identifying small extracellular vesicles derived from human umbilical cord mesenchymal stem cells. STAR Protocols. 5(3). 103197–103197. 3 indexed citations
9.
Tellez, Daniela, et al.. (2024). Biophysical and biochemical aspects of immune cell–tumor microenvironment interactions. APL Bioengineering. 8(2). 21502–21502. 5 indexed citations
10.
Kah, Delf, Christoph Mark, Geraldine M. O’Neill, et al.. (2023). Fiber alignment in 3D collagen networks as a biophysical marker for cell contractility. Matrix Biology. 124. 39–48. 13 indexed citations
11.
Nguyen, Ryan Y., Alessandro Zulli, Xiangyu Gong, et al.. (2023). Tunable Mesoscopic Collagen Island Architectures Modulate Stem Cell Behavior. Advanced Materials. 35(16). e2207882–e2207882. 24 indexed citations
12.
Enninful, Archibald, et al.. (2023). Biophysical and mechanobiological considerations for T-cell-based immunotherapy. Trends in Pharmacological Sciences. 44(6). 366–378. 13 indexed citations
13.
Mak, Michael, et al.. (2022). Fibroblast-mediated uncaging of cancer cells and dynamic evolution of the physical microenvironment. Scientific Reports. 12(1). 791–791. 17 indexed citations
14.
Fu, Peiwen, Jianguo Zhang, Haitao Li, et al.. (2021). Extracellular vesicles as delivery systems at nano-/micro-scale. Advanced Drug Delivery Reviews. 179. 113910–113910. 92 indexed citations
15.
Nguyen, Ryan Y., et al.. (2021). Integrated computational and experimental pipeline for quantifying local cell–matrix interactions. Scientific Reports. 11(1). 16465–16465. 4 indexed citations
16.
Malandrino, Andrea, Xavier Trepat, Roger D. Kamm, & Michael Mak. (2019). Dynamic filopodial forces induce accumulation, damage, and plastic remodeling of 3D extracellular matrices. PLoS Computational Biology. 15(4). e1006684–e1006684. 85 indexed citations
17.
Malandrino, Andrea, Michael Mak, Roger D. Kamm, & Emad Moeendarbary. (2018). Complex mechanics of the heterogeneous extracellular matrix in cancer. Extreme Mechanics Letters. 21. 25–34. 141 indexed citations
18.
Mak, Michael, Muhammad H. Zaman, Roger D. Kamm, & Taeyoon Kim. (2016). Interplay of active processes modulates tension and drives phase transition in self-renewing, motor-driven cytoskeletal networks. Nature Communications. 7(1). 10323–10323. 70 indexed citations
19.
Mak, Michael, Cynthia A. Reinhart‐King, & David Erickson. (2012). Elucidating mechanical transition effects of invading cancer cells with a subnucleus-scaled microfluidic serial dimensional modulation device. Lab on a Chip. 13(3). 340–348. 85 indexed citations
20.
He, Jun Kit, et al.. (2008). Counterion-dependent microrheological properties ofF-actin solutions across the isotropic-nematic phase transition. Physical Review E. 78(1). 11908–11908. 11 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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