Michael Mak
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
Papers in
- Cell Biology 31
- Cellular Mechanics and Interactions 29
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- 3D Printing in Biomedical Research 23
- Microfluidic and Bio-sensing Technologies 4
- Co-authors
- Roger D. Kamm (8 shared papers)David Erickson (5 shared papers)Andrea Malandrino (3 shared papers)Muhammad H. Zaman (6 shared papers)Cynthia A. Reinhart‐King (2 shared papers)Emad Moeendarbary (1 shared paper)Zhimin Tao (4 shared papers)Fabian Spill (3 shared papers)
- Journals
- Scientific Reports (4 papers)Advanced Healthcare Materials (3 papers)Acta Biomaterialia (3 papers)Lab on a Chip (3 papers)Integrative Biology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Michael Mak
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Cell Biology 598
- Biomedical Engineering 611
- Immunology and Allergy 77
- Oncology 299
- Biophysics 51
Countries citing papers authored by Michael Mak
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
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-authors
The 25 scholars most cited alongside Michael Mak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2021 | 92 | |
| 3 | 2012 | 85 | |
| 4 | 2019 | 85 | |
| 5 | 2016 | 70 | |
| 6 | 2015 | 67 | |
| 7 | 2011 | 66 | |
| 8 | 2013 | 57 | |
| 9 | 2017 | 49 | |
| 10 | 2020 | 48 | |
| 11 | 2024 | 46 | |
| 12 | 2015 | 34 | |
| 13 | 2019 | 33 | |
| 14 | 2018 | 28 | |
| 15 | 2022 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 2018 | 20 | |
| 20 | 2021 | 20 |
About Michael Mak
Michael Mak is a scholar working on Cell Biology, Biomedical Engineering, Oncology, Molecular Biology and Biomaterials, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (29 papers), 3D Printing in Biomedical Research (23 papers), Cancer Cells and Metastasis (10 papers), Collagen: Extraction and Characterization (5 papers), Cell Image Analysis Techniques (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Cell Adhesion Molecules Research (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Cell Biology (598 citations), Biomedical Engineering (611 citations), Immunology and Allergy (77 citations), Oncology (299 citations) and Biophysics (51 citations). Michael Mak has collaborated with scholars based in United States, China and United Kingdom. Frequent 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. Their work appears in journals such as Scientific Reports, Advanced Healthcare Materials, Acta Biomaterialia, Lab on a Chip and Integrative Biology.
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.