Jin Nam

4.6k total citations · 1 hit paper
93 papers, 3.7k citations indexed

About

Jin Nam is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Jin Nam has authored 93 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 24 papers in Molecular Biology and 22 papers in Biomaterials. Recurrent topics in Jin Nam's work include Electrospun Nanofibers in Biomedical Applications (20 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Osteoarthritis Treatment and Mechanisms (12 papers). Jin Nam is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (20 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Osteoarthritis Treatment and Mechanisms (12 papers). Jin Nam collaborates with scholars based in United States, South Korea and Germany. Jin Nam's co-authors include Sudha Agarwal, Maricela Maldonado, John J. Lannutti, Nosang V. Myung, T. Kyle Vanderlick, Paul A. Beales, Youyi Tai, Gerardo Ico, Yan Yan Shery Huang and Bjoern Rath and has published in prestigious journals such as Physical Review Letters, Nano Letters and ACS Nano.

In The Last Decade

Jin Nam

90 papers receiving 3.7k citations

Hit Papers

The Role of Changes in Extracellular Matrix of Cartilage ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Nam United States 34 1.7k 1.2k 887 675 653 93 3.7k
Soo‐Hong Lee South Korea 38 2.4k 1.5× 1.7k 1.4× 1.3k 1.4× 954 1.4× 413 0.6× 138 5.3k
V. Prasad Shastri Germany 34 2.0k 1.2× 1.6k 1.4× 794 0.9× 608 0.9× 393 0.6× 120 4.7k
Anuradha Subramanian United States 34 1.6k 1.0× 1.4k 1.2× 792 0.9× 699 1.0× 384 0.6× 122 3.8k
Yong Sun China 36 1.8k 1.1× 1.4k 1.2× 868 1.0× 512 0.8× 340 0.5× 166 4.0k
Qian Feng China 43 2.6k 1.5× 1.8k 1.6× 1.0k 1.2× 658 1.0× 489 0.7× 112 5.7k
Youngmee Jung South Korea 42 2.3k 1.4× 2.1k 1.8× 685 0.8× 1.5k 2.2× 431 0.7× 136 4.7k
Lie Ma China 40 2.2k 1.4× 2.5k 2.2× 987 1.1× 856 1.3× 245 0.4× 133 6.0k
Insup Noh South Korea 39 2.4k 1.5× 1.2k 1.0× 795 0.9× 513 0.8× 223 0.3× 110 5.0k
Lian Cen China 34 1.6k 1.0× 1.4k 1.2× 509 0.6× 899 1.3× 251 0.4× 85 3.6k
Jörg Teßmar Germany 35 2.1k 1.3× 1.6k 1.4× 685 0.8× 486 0.7× 267 0.4× 88 4.2k

Countries citing papers authored by Jin Nam

Since Specialization
Citations

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

Fields of papers citing papers by Jin Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Nam. A scholar is included among the top collaborators of Jin Nam 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 Jin Nam. Jin Nam 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.
Tai, Youyi, et al.. (2025). Enhanced neuromorphogenesis of neural stem cells via the optimization of physical stimulus-responsive signaling pathways. Stem Cell Research & Therapy. 16(1). 385–385. 1 indexed citations
2.
Wang, Zhongxiang, Hwangsun Kim, Yushun Zeng, et al.. (2025). Controllable Doping for Tunable and Multimodal Emission in ZnS-Based Mechanoluminescent Nanocrystals. Nano Letters. 25(30). 11747–11755. 2 indexed citations
3.
Jeong, Hyun Do, Yong Kyung Choe, Jin Nam, & Yeon Hee Ban. (2025). A guide to genome mining and genetic manipulation of biosynthetic gene clusters in Streptomyces. The Journal of Microbiology. 63(4). e2409026–e2409026. 1 indexed citations
5.
Lee, Myung Lae, et al.. (2024). Deep Learning Model for Cosmetic Gel Classification Based on a Short-Time Fourier Transform and Spectrogram. ACS Applied Materials & Interfaces. 16(20). 25825–25835. 6 indexed citations
6.
Tai, Youyi, et al.. (2023). Enhanced peripheral nerve regeneration by mechano-electrical stimulation. npj Regenerative Medicine. 8(1). 57–57. 42 indexed citations
7.
Tai, Youyi, et al.. (2023). A Magneto‐Responsive Hydrogel System for the Dynamic Mechano‐Modulation of Stem Cell Niche. Advanced Functional Materials. 33(12). 20 indexed citations
8.
9.
Kim, Ji Eun, DaBin Yim, Sang Woo Han, et al.. (2019). Effective Suppression of Oxidative Stress on Living Cells in Hydrogel Particles Containing a Physically Immobilized WS2 Radical Scavenger. ACS Applied Materials & Interfaces. 11(20). 18817–18824. 8 indexed citations
10.
Kim, Sanggon, Gerardo Ico, Yaocai Bai, et al.. (2019). Utilization of a magnetic field-driven microscopic motion for piezoelectric energy harvesting. Nanoscale. 11(43). 20527–20533. 20 indexed citations
11.
12.
Yim, DaBin, Jieun Kim, Hye‐In Kim, et al.. (2018). Adjustable Intermolecular Interactions Allowing 2D Transition Metal Dichalcogenides with Prolonged Scavenging Activity for Reactive Oxygen Species. Small. 14(16). e1800026–e1800026. 33 indexed citations
13.
Maldonado, Maricela, et al.. (2015). The effects of electrospun substrate-mediated cell colony morphology on the self-renewal of human induced pluripotent stem cells. Biomaterials. 50. 10–19. 44 indexed citations
14.
Knapik, Derrick M., P. Perera, Jin Nam, et al.. (2014). Mechanosignaling in bone health, trauma and inflammation. RWTH Publications (RWTH Aachen). 1 indexed citations
15.
Low, Karen, Nicha Chartuprayoon, Changling Li, et al.. (2014). Polyaniline/poly(ε-caprolactone) composite electrospun nanofiber-based gas sensors: optimization of sensing properties by dopants and doping concentration. Nanotechnology. 25(11). 115501–115501. 37 indexed citations
16.
Knapik, Derrick M., P. Perera, Jin Nam, et al.. (2013). Mechanosignaling in Bone Health, Trauma and Inflammation. Antioxidants and Redox Signaling. 20(6). 970–985. 43 indexed citations
17.
Nam, Jin, P. Perera, Bjoern Rath, & Sudha Agarwal. (2012). Dynamic Regulation of Bone Morphogenetic Proteins in Engineered Osteochondral Constructs by Biomechanical Stimulation. Tissue Engineering Part A. 19(5-6). 783–792. 30 indexed citations
18.
Kang, Sun Chul, et al.. (2012). Curcumin inhibits the upregulation of cathepsin L by palmitate in fat. 15th International & 14th European Congress of Endocrinology. 29. 1 indexed citations
19.
Heath, Daniel E., Jed Johnson, Jin Nam, et al.. (2009). Interactions between endothelial cells and electrospun methacrylic terpolymer fibers for engineered vascular replacements. Journal of Biomedical Materials Research Part A. 91A(4). 1131–1139. 22 indexed citations
20.
Zhao, Yi, et al.. (2008). Fabrication of skeletal muscle constructs by topographic activation of cell alignment. Biotechnology and Bioengineering. 102(2). 624–631. 95 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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