Minjun Son

573 total citations
20 papers, 410 citations indexed

About

Minjun Son is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Minjun Son has authored 20 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Minjun Son's work include Immune Response and Inflammation (7 papers), Bacterial Genetics and Biotechnology (5 papers) and NF-κB Signaling Pathways (5 papers). Minjun Son is often cited by papers focused on Immune Response and Inflammation (7 papers), Bacterial Genetics and Biotechnology (5 papers) and NF-κB Signaling Pathways (5 papers). Minjun Son collaborates with scholars based in United States, Switzerland and Taiwan. Minjun Son's co-authors include Stephen J. Hagen, Robert A. Burne, Sang‐Joon Ahn, Savaş Tay, Qiang Guo, Jing Lin, Hsiung‐Lin Tu, Delaram Ghoreishi, Robert C. Shields and Christian Jordi and has published in prestigious journals such as Nature Communications, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Minjun Son

18 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minjun Son United States 12 194 137 113 69 61 20 410
Justin R. Kaspar United States 13 220 1.1× 168 1.2× 177 1.6× 26 0.4× 83 1.4× 21 467
Falk Ponath Germany 9 411 2.1× 37 0.3× 76 0.7× 49 0.7× 31 0.5× 13 670
Traci Hilton United States 11 244 1.3× 41 0.3× 32 0.3× 131 1.9× 69 1.1× 24 429
Fadi Abdel‐Sater Lebanon 12 356 1.8× 24 0.2× 26 0.2× 60 0.9× 37 0.6× 31 532
Juan A. Crosby United States 10 174 0.9× 151 1.1× 95 0.8× 74 1.1× 40 0.7× 11 421
Ji-Woong Choi South Korea 8 261 1.3× 19 0.1× 42 0.4× 23 0.3× 50 0.8× 27 446
Ryo Nakamura Japan 13 129 0.7× 85 0.6× 245 2.2× 40 0.6× 16 0.3× 49 496
Yi-Ting Chen Taiwan 10 105 0.5× 30 0.2× 10 0.1× 38 0.6× 37 0.6× 25 299
M. Fredriksson Sweden 10 85 0.4× 34 0.2× 107 0.9× 229 3.3× 35 0.6× 12 511
Heiko Slanina Germany 10 186 1.0× 23 0.2× 6 0.1× 60 0.9× 86 1.4× 21 483

Countries citing papers authored by Minjun Son

Since Specialization
Citations

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

Fields of papers citing papers by Minjun Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjun Son

This figure shows the co-authorship network connecting the top 25 collaborators of Minjun Son. A scholar is included among the top collaborators of Minjun 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 Minjun Son. Minjun 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.
Son, Minjun, et al.. (2025). Macrophage memory emerges from coordinated transcription factor and chromatin dynamics. Cell Systems. 16(2). 101171–101171.
2.
Son, Minjun, et al.. (2024). Performance Analysis and Enhancement of Multi-Task Learning for Autonomous Driving. 1–4. 1 indexed citations
3.
Son, Minjun, et al.. (2023). High-throughput co-culture system for analysis of spatiotemporal cell-cell signaling. Biosensors and Bioelectronics. 225. 115089–115089. 4 indexed citations
4.
Son, Minjun, et al.. (2023). Optimal Configuration of Multi-Task Learning for Autonomous Driving. Sensors. 23(24). 9729–9729. 6 indexed citations
5.
Son, Minjun, et al.. (2023). Processing stimulus dynamics by the NF-κB network in single cells. Experimental & Molecular Medicine. 55(12). 2531–2540. 13 indexed citations
6.
Yoo, Ji‐Sang, et al.. (2023). Rethinking Real-Time Lane Detection Technology for Autonomous Driving. The Journal of Korean Institute of Communications and Information Sciences. 48(5). 589–599. 4 indexed citations
7.
Chen, Siquan, Qing Chen, Andrew Wang, et al.. (2023). Discovery of New States of Immunomodulation for Vaccine Adjuvants via High Throughput Screening: Expanding Innate Responses to PRRs. ACS Central Science. 9(3). 427–439. 8 indexed citations
8.
Yoo, Ji‐Sang, et al.. (2023). Real-Time Lane Detection for Korean Road at Night time in Autonomous Driving. 1–3. 1 indexed citations
9.
Son, Minjun, Thomas Holst‐Hansen, Michael Junkin, et al.. (2022). Spatiotemporal NF-κB dynamics encodes the position, amplitude, and duration of local immune inputs. Science Advances. 8(35). eabn6240–eabn6240. 24 indexed citations
10.
Son, Minjun, et al.. (2022). NF-κB memory coordinates transcriptional responses to dynamic inflammatory stimuli. Cell Reports. 40(7). 111159–111159. 22 indexed citations
11.
Son, Minjun, Hsiung‐Lin Tu, Marie Oliver Metzig, et al.. (2021). NF-κB responds to absolute differences in cytokine concentrations. Science Signaling. 14(666). 34 indexed citations
12.
Lin, Jing, Christian Jordi, Minjun Son, et al.. (2019). Ultra-sensitive digital quantification of proteins and mRNA in single cells. Nature Communications. 10(1). 3544–3544. 44 indexed citations
13.
Son, Minjun, Justin R. Kaspar, Sang‐Joon Ahn, Robert A. Burne, & Stephen J. Hagen. (2018). Threshold regulation and stochasticity from the MecA/ClpCP proteolytic system in Streptococcus mutans competence. Molecular Microbiology. 110(6). 914–930. 10 indexed citations
14.
Hagen, Stephen J. & Minjun Son. (2017). Origins of heterogeneity in Streptococcus mutans competence: interpreting an environment-sensitive signaling pathway. Physical Biology. 14(1). 15001–15001. 18 indexed citations
15.
Moye, Zachary D., Minjun Son, Lin Zeng, et al.. (2016). Effects of Carbohydrate Source on Genetic Competence in Streptococcus mutans. Applied and Environmental Microbiology. 82(15). 4821–4834. 32 indexed citations
16.
Son, Minjun, Robert C. Shields, Sang‐Joon Ahn, Robert A. Burne, & Stephen J. Hagen. (2015). Bidirectional signaling in the competence regulatory pathway ofStreptococcus mutans. FEMS Microbiology Letters. 362(19). fnv159–fnv159. 29 indexed citations
17.
Son, Minjun, Delaram Ghoreishi, Sang‐Joon Ahn, Robert A. Burne, & Stephen J. Hagen. (2015). Sharply Tuned pH Response of Genetic Competence Regulation in Streptococcus mutans: a Microfluidic Study of the Environmental Sensitivity of comX. Applied and Environmental Microbiology. 81(16). 5622–5631. 37 indexed citations
18.
Son, Minjun, et al.. (2012). Analysis of gene expression levels in individual bacterial cells without image segmentation. Biochemical and Biophysical Research Communications. 421(3). 425–430. 13 indexed citations
19.
Son, Minjun, Sang‐Joon Ahn, Qiang Guo, Robert A. Burne, & Stephen J. Hagen. (2012). Microfluidic study of competence regulation in Streptococcus mutans: environmental inputs modulate bimodal and unimodal expression of comX. Molecular Microbiology. 86(2). 258–272. 94 indexed citations
20.
Hagen, Stephen J., et al.. (2010). Bacterium in a box: sensing of quorum and environment by the LuxI/LuxR gene regulatory circuit. Journal of Biological Physics. 36(3). 317–327. 16 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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