Min Ju Shon

555 total citations
22 papers, 398 citations indexed

About

Min Ju Shon is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Cell Biology. According to data from OpenAlex, Min Ju Shon has authored 22 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Atomic and Molecular Physics, and Optics and 5 papers in Cell Biology. Recurrent topics in Min Ju Shon's work include Lipid Membrane Structure and Behavior (8 papers), Force Microscopy Techniques and Applications (7 papers) and RNA Interference and Gene Delivery (3 papers). Min Ju Shon is often cited by papers focused on Lipid Membrane Structure and Behavior (8 papers), Force Microscopy Techniques and Applications (7 papers) and RNA Interference and Gene Delivery (3 papers). Min Ju Shon collaborates with scholars based in South Korea, United States and Puerto Rico. Min Ju Shon's co-authors include Tae‐Young Yoon, Adam E. Cohen, Sang-Hyun Rah, James U. Bowie, Hyunook Kang, Duyoung Min, Hawoong Jeong, Hee‐Jung Choi, Janghyun Yoo and Jun Hyuk Park and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Min Ju Shon

20 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Ju Shon South Korea	12	256	110	102	68	24	22	398
Thomas Litschel Germany	11	339 1.3×	127 1.2×	70 0.7×	165 2.4×	36 1.5×	15	477
Roxanne Glazier United States	8	192 0.8×	98 0.9×	123 1.2×	111 1.6×	43 1.8×	11	348
Patrick M. McCall United States	6	123 0.5×	69 0.6×	84 0.8×	107 1.6×	22 0.9×	11	299
Jean‐Pierre Duneau France	12	386 1.5×	51 0.5×	136 1.3×	50 0.7×	15 0.6×	21	516
Thomas Nicolaus Germany	9	363 1.4×	82 0.7×	157 1.5×	60 0.9×	8 0.3×	12	560
Thais A. Enoki United States	12	436 1.7×	121 1.1×	109 1.1×	93 1.4×	12 0.5×	19	514
Vasudha Aggarwal United States	11	318 1.2×	48 0.4×	49 0.5×	87 1.3×	70 2.9×	16	412
Jeffrey Nye United States	9	243 0.9×	76 0.7×	57 0.6×	90 1.3×	35 1.5×	14	446
Huijuan You China	13	445 1.7×	45 0.4×	94 0.9×	33 0.5×	9 0.4×	31	535
Nikolay Buzhynskyy France	10	457 1.8×	37 0.3×	128 1.3×	43 0.6×	34 1.4×	11	519

Countries citing papers authored by Min Ju Shon

Since Specialization

Citations

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

Fields of papers citing papers by Min Ju Shon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Ju Shon. 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 Min Ju Shon. The network helps show where Min Ju Shon may publish in the future.

Co-authorship network of co-authors of Min Ju Shon

This figure shows the co-authorship network connecting the top 25 collaborators of Min Ju Shon. A scholar is included among the top collaborators of Min Ju Shon 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 Min Ju Shon. Min Ju Shon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shon, Min Ju, et al.. (2025). Advancing membrane biology: single-molecule approaches meet model membrane systems. BMB Reports. 58(1). 33–40. 3 indexed citations

Rah, Sang-Hyun, et al.. (2025). BPS2025 - Tau condensation on DNA and localization on centromeres: A potential link to cell division. Biophysical Journal. 124(3). 86a–86a.

Nguyen, Linh Thanh, et al.. (2025). Locked Nucleic Acid-Modified Force Probe Reveals High-Force Regulation of Yes-Associated Protein through Talin–Vinculin in Breast Cancer. ACS Nano. 19(40). 35962–35976.

Go, Ara, et al.. (2024). High-speed measurements of SNARE–complexin interactions using magnetic tweezers. Methods in enzymology on CD-ROM/Methods in enzymology. 694. 109–135. 1 indexed citations

Jung, Jae Hun, et al.. (2024). Force-fluorescence setup for observing protein–DNA interactions under load. Methods in enzymology on CD-ROM/Methods in enzymology. 694. 137–165. 1 indexed citations

Rah, Sang-Hyun, et al.. (2023). High-Speed Magnetic Tweezers for Nanomechanical Measurements on Force-Sensitive Elements. Journal of Visualized Experiments. 4 indexed citations

Jung, Jae-Hun, Sung‐Soo Park, Jun Hyuk Park, et al.. (2023). Quantitative imaging of vesicle–protein interactions reveals close cooperation among proteins. Journal of Extracellular Vesicles. 12(5). e12322–e12322. 4 indexed citations

Park, Jun Hyuk, Sang Soo Kim, Jeong Eun Park, et al.. (2023). Efficient Labeling of Vesicles with Lipophilic Fluorescent Dyes via the Salt-Change Method. Analytical Chemistry. 95(14). 5843–5849. 27 indexed citations

Shon, Min Ju, et al.. (2022). High-Resolution Single-Molecule Magnetic Tweezers. Annual Review of Biochemistry. 91(1). 33–59. 46 indexed citations

10.

Rah, Sang-Hyun, et al.. (2022). Nano-Precision Tweezers for Mechanosensitive Proteins and Beyond. Molecules and Cells. 45(1). 16–25. 6 indexed citations

11.

Cho, Sung‐Woo, et al.. (2022). Tension exerted on cells by magnetic nanoparticles regulates differentiation of human mesenchymal stem cells. Biomaterials Advances. 139. 213028–213028. 13 indexed citations

12.

Kim, Chang-Won, Min Ju Shon, Sung Hyun Kim, et al.. (2021). Extreme parsimony in ATP consumption by 20S complexes in the global disassembly of single SNARE complexes. Nature Communications. 12(1). 3206–3206. 15 indexed citations

13.

Ryu, Ji Young, Jihye Kim, Min Ju Shon, et al.. (2019). Profiling protein–protein interactions of single cancer cells within situlysis and co-immunoprecipitation. Lab on a Chip. 19(11). 1922–1928. 14 indexed citations

14.

Min, Duyoung, Hyunook Kang, Min Ju Shon, et al.. (2019). Watching helical membrane proteins fold reveals a common N-to-C-terminal folding pathway. Science. 366(6469). 1150–1156. 61 indexed citations

15.

Shon, Min Ju, Sang-Hyun Rah, & Tae‐Young Yoon. (2019). Submicrometer elasticity of double-stranded DNA revealed by precision force-extension measurements with magnetic tweezers. Science Advances. 5(6). eaav1697–eaav1697. 53 indexed citations

16.

Shon, Min Ju, et al.. (2018). Focused clamping of a single neuronal SNARE complex by complexin under high mechanical tension. Nature Communications. 9(1). 3639–3639. 16 indexed citations

17.

Kang, Han Na, Hyunwoo Kim, Ahrum Min, et al.. (2018). Profiling of protein–protein interactions via single-molecule techniques predicts the dependence of cancers on growth-factor receptors. Nature Biomedical Engineering. 2(4). 239–253. 23 indexed citations

18.

Shon, Min Ju & Adam E. Cohen. (2015). Nano-mechanical measurements of protein-DNA interactions with a silicon nitride pulley. Nucleic Acids Research. 44(1). e7–e7. 33 indexed citations

19.

Shon, Min Ju & Adam E. Cohen. (2012). Mass Action at the Single-Molecule Level. Journal of the American Chemical Society. 134(35). 14618–14623. 51 indexed citations

20.

Cohen, Adam E., et al.. (2009). In Honor of W.E. Moerner: Confining Molecules for Single‐Molecule Spectroscopy. Israel Journal of Chemistry. 49(3-4). 275–282. 4 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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