Sungmin Son
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Biophysics top 5%
Papers in
-
- Microfluidic and Bio-sensing Technologies 6
- Microfluidic and Capillary Electrophoresis Applications 3
- 3D Printing in Biomedical Research 3
-
- Cellular Mechanics and Interactions 6
- Co-authors
- Scott R. Manalis (7 shared papers)Daniel A. Fletcher (10 shared papers)William H. Grover (4 shared papers)Francisco Feijó Delgado (2 shared papers)Paul Jorgensen (2 shared papers)Marc W. Kirschner (2 shared papers)Josephine Shaw (2 shared papers)Amit Tzur (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Methods (2 papers)Lab on a Chip (2 papers)Analytical Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sungmin Son
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Cell Biology 321
- Biophysics 84
- Biomedical Engineering 418
- Aging 13
- Molecular Biology 408
Countries citing papers authored by Sungmin Son
This map shows the geographic impact of Sungmin Son'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 Sungmin Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungmin Son more than expected).
Fields of papers citing papers by Sungmin Son
This network shows the impact of papers produced by Sungmin Son. 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 Sungmin Son. The network helps show where Sungmin Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungmin Son, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 283 | |
| 2 | 2013 | 275 | |
| 3 | 2015 | 113 | |
| 4 | 2018 | 107 | |
| 5 | 2020 | 83 | |
| 6 | 2018 | 35 | |
| 7 | 2008 | 29 | |
| 8 | 2020 | 27 | |
| 9 | 2011 | 25 | |
| 10 | 2020 | 21 | |
| 11 | 2018 | 19 | |
| 12 | 2020 | 15 | |
| 13 | 2012 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2012 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 1991 | 2 | |
| 19 | 2020 | 0 | |
| 20 | 2025 | 0 |
About Sungmin Son
Sungmin Son is a scholar working on Biomedical Engineering, Cell Biology, Molecular Biology, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Microfluidic and Bio-sensing Technologies (6 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Mechanical and Optical Resonators (2 papers), Virus-based gene therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cell Biology (321 citations), Biophysics (84 citations), Biomedical Engineering (418 citations), Aging (13 citations) and Molecular Biology (408 citations). Sungmin Son has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Scott R. Manalis, Daniel A. Fletcher, William H. Grover, Francisco Feijó Delgado, Paul Jorgensen, Marc W. Kirschner, Josephine Shaw, Amit Tzur, Alan D. Grossman and Nathan Cermak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods, Lab on a Chip, Analytical Chemistry and Nature Communications.
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.