Sungmin Son

3.0k total citations
20 papers, 1.1k citations indexed

About

Sungmin Son is a scholar working on Biomedical Engineering, Cell Biology and Molecular Biology. According to data from OpenAlex, Sungmin Son has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Cell Biology and 6 papers in Molecular Biology. Recurrent topics in Sungmin Son's work include Cellular Mechanics and Interactions (6 papers), Microfluidic and Bio-sensing Technologies (6 papers) and 3D Printing in Biomedical Research (3 papers). Sungmin Son is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Microfluidic and Bio-sensing Technologies (6 papers) and 3D Printing in Biomedical Research (3 papers). Sungmin Son collaborates with scholars based in United States, South Korea and Canada. Sungmin Son's co-authors include Scott R. Manalis, Daniel A. Fletcher, William H. Grover, Francisco Feijó Delgado, Paul Jorgensen, Josephine Shaw, Amit Tzur, Marc W. Kirschner, Vivian Hecht and Alan D. Grossman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sungmin Son

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungmin Son United States 12 418 408 321 165 93 20 1.1k
Serena A. Lee United States 10 468 1.1× 472 1.2× 260 0.8× 68 0.4× 71 0.8× 11 1.1k
Stefan Golfier Germany 10 544 1.3× 432 1.1× 486 1.5× 121 0.7× 67 0.7× 11 1.2k
Daniel Klaue Germany 8 446 1.1× 377 0.9× 270 0.8× 191 1.2× 62 0.7× 11 937
Jochen Seebach Germany 23 394 0.9× 692 1.7× 408 1.3× 60 0.4× 62 0.7× 34 1.8k
Antonio Virgilio Failla Germany 24 516 1.2× 539 1.3× 129 0.4× 228 1.4× 138 1.5× 65 1.5k
Franziska Lautenschläger Germany 20 596 1.4× 440 1.1× 852 2.7× 189 1.1× 138 1.5× 43 1.6k
Perrine Paul‐Gilloteaux France 22 183 0.4× 733 1.8× 587 1.8× 173 1.0× 124 1.3× 42 1.6k
Cheng‐han Yu United States 22 318 0.8× 832 2.0× 744 2.3× 268 1.6× 122 1.3× 42 1.6k
Daria Bonazzi France 11 184 0.4× 483 1.2× 384 1.2× 72 0.4× 68 0.7× 14 1.1k
Andrew Ekpenyong United States 15 770 1.8× 327 0.8× 563 1.8× 246 1.5× 109 1.2× 36 1.5k

Countries citing papers authored by Sungmin Son

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sungmin Son

This figure shows the co-authorship network connecting the top 25 collaborators of Sungmin Son. A scholar is included among the top collaborators of Sungmin Son 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 Sungmin Son. Sungmin Son 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.
Lee, Daniel S.W., et al.. (2025). Cell surface crowding is a tunable energetic barrier to cell-cell fusion. Nature Communications. 16(1). 7158–7158.
2.
Takatori, Sho C., Sungmin Son, Daniel S.W. Lee, & Daniel A. Fletcher. (2023). Engineered molecular sensors for quantifying cell surface crowding. Proceedings of the National Academy of Sciences. 120(21). e2219778120–e2219778120. 9 indexed citations
3.
Son, Sungmin, et al.. (2021). Thermal properties of porous ceramics manufactured by direct foaming using silicon sludge and silica fume. Journal of Asian Ceramic Societies. 9(3). 1364–1375. 7 indexed citations
4.
Son, Sungmin, Sho C. Takatori, Brian Belardi, et al.. (2020). Molecular height measurement by cell surface optical profilometry (CSOP). Proceedings of the National Academy of Sciences. 117(25). 14209–14219. 21 indexed citations
5.
Chan, Ka Man, Johannes Morstein, Meiyan Jin, et al.. (2020). Evolutionarily related small viral fusogens hijack distinct but modular actin nucleation pathways to drive cell-cell fusion. Proceedings of the National Academy of Sciences. 118(1). 15 indexed citations
7.
Belardi, Brian, Sungmin Son, James H. Felce, Michael L. Dustin, & Daniel A. Fletcher. (2020). Cell–cell interfaces as specialized compartments directing cell function. Nature Reviews Molecular Cell Biology. 21(12). 750–764. 83 indexed citations
8.
Chan, Ka Man, Sungmin Son, Eva M. Schmid, & Daniel A. Fletcher. (2020). A viral fusogen hijacks the actin cytoskeleton to drive cell-cell fusion. eLife. 9. 27 indexed citations
9.
Belardi, Brian, Sungmin Son, Michael D. Vahey, et al.. (2018). Claudin-4 reconstituted in unilamellar vesicles is sufficient to form tight interfaces that partition membrane proteins. Journal of Cell Science. 132(4). 19 indexed citations
10.
Duan, Rui, Ji Hoon Kim, Khurts Shilagardi, et al.. (2018). Spectrin is a mechanoresponsive protein shaping fusogenic synapse architecture during myoblast fusion. Nature Cell Biology. 20(6). 688–698. 35 indexed citations
11.
Bakalar, Matthew H., et al.. (2018). Size-Dependent Segregation Controls Macrophage Phagocytosis of Antibody-Opsonized Targets. Cell. 174(1). 131–142.e13. 107 indexed citations
12.
Kim, Ji Hoon, Yixin Ren, Win Pin Ng, et al.. (2015). Mechanical Tension Drives Cell Membrane Fusion. Developmental Cell. 32(5). 561–573. 113 indexed citations
13.
Byun, Sangwon, Sungmin Son, Dario Amodei, et al.. (2013). Characterizing deformability and surface friction of cancer cells. Proceedings of the National Academy of Sciences. 110(19). 7580–7585. 275 indexed citations
14.
Cermak, Nathan, Vivian Hecht, Sungmin Son, et al.. (2013). Correction: Intracellular Water Exchange for Measuring the Dry Mass, Water Mass and Changes in Chemical Composition of Living Cells. PLoS ONE. 8(9). 8 indexed citations
15.
Son, Sungmin, Amit Tzur, Paul Jorgensen, et al.. (2012). Direct observation of mammalian cell growth and size regulation. Nature Methods. 9(9). 910–912. 10 indexed citations
16.
Shaw, Josephine, Kristofor R. Payer, Sungmin Son, William H. Grover, & Scott R. Manalis. (2012). A microfluidic “baby machine” for cell synchronization. Lab on a Chip. 12(15). 2656–2656. 8 indexed citations
17.
Delgado, Francisco Feijó, et al.. (2011). Mass sensors with mechanical traps for weighing single cells in different fluids. Lab on a Chip. 11(24). 4174–4174. 25 indexed citations
18.
Godin, Michel, Francisco Feijó Delgado, Sungmin Son, et al.. (2010). Using buoyant mass to measure the growth of single cells. Nature Methods. 7(5). 387–390. 283 indexed citations
19.
Son, Sungmin, William H. Grover, Thomas P. Burg, & Scott R. Manalis. (2008). Suspended Microchannel Resonators for Ultralow Volume Universal Detection. Analytical Chemistry. 80(12). 4757–4760. 29 indexed citations
20.
Son, Sungmin, et al.. (1991). Resolution of multiple conflicts in the Petri-net model of FAS. International Journal of Computer Integrated Manufacturing. 4(4). 253–262. 2 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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