Woojin M. Han

1.7k total citations
38 papers, 1.3k citations indexed

About

Woojin M. Han is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Woojin M. Han has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in Woojin M. Han's work include Muscle Physiology and Disorders (16 papers), Tissue Engineering and Regenerative Medicine (11 papers) and Tendon Structure and Treatment (7 papers). Woojin M. Han is often cited by papers focused on Muscle Physiology and Disorders (16 papers), Tissue Engineering and Regenerative Medicine (11 papers) and Tendon Structure and Treatment (7 papers). Woojin M. Han collaborates with scholars based in United States, Portugal and South Korea. Woojin M. Han's co-authors include Dawn M. Elliott, Andrés J. Garcı́a, Robert L. Mauck, Lachlan J. Smith, Young C. Jang, José R. García, Nandan L. Nerurkar, Edward A. Botchwey, Tristan P. Driscoll and Shannon E. Anderson and has published in prestigious journals such as Nature Communications, Nature Materials and ACS Nano.

In The Last Decade

Woojin M. Han

34 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Woojin M. Han United States 21 503 482 377 259 202 38 1.3k
Varitsara Bunpetch China 20 739 1.5× 401 0.8× 321 0.9× 427 1.6× 129 0.6× 29 1.7k
Wesley M. Jackson United States 22 396 0.8× 586 1.2× 425 1.1× 334 1.3× 194 1.0× 36 1.8k
Kenneth R. Nakazawa United States 7 602 1.2× 540 1.1× 372 1.0× 291 1.1× 60 0.3× 11 1.6k
Johannah Sanchez‐Adams United States 17 354 0.7× 592 1.2× 311 0.8× 296 1.1× 204 1.0× 21 1.5k
Yangzi Jiang China 21 452 0.9× 486 1.0× 475 1.3× 459 1.8× 118 0.6× 38 2.0k
Luciënne A. Vonk Netherlands 24 303 0.6× 773 1.6× 471 1.2× 205 0.8× 140 0.7× 62 1.9k
Kyosuke Fujikawa Japan 23 324 0.6× 904 1.9× 237 0.6× 184 0.7× 110 0.5× 73 1.8k
Janette N. Zara United States 24 576 1.1× 610 1.3× 852 2.3× 213 0.8× 95 0.5× 30 2.2k
Dmitriy Sheyn United States 24 726 1.4× 596 1.2× 506 1.3× 164 0.6× 63 0.3× 60 1.8k

Countries citing papers authored by Woojin M. Han

Since Specialization
Citations

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

Fields of papers citing papers by Woojin M. Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woojin M. Han. 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 Woojin M. Han. The network helps show where Woojin M. Han may publish in the future.

Co-authorship network of co-authors of Woojin M. Han

This figure shows the co-authorship network connecting the top 25 collaborators of Woojin M. Han. A scholar is included among the top collaborators of Woojin M. Han 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 Woojin M. Han. Woojin M. Han 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.
Mourkioti, Foteini, et al.. (2025). 3D Mechanical Confinement Directs Muscle Stem Cell Fate and Function. Advanced Biology. 9(4). e2400717–e2400717.
2.
Laudier, Damien M., et al.. (2025). WNT7A mRNA Lipid Nanoparticles Promote Muscle Hypertrophy and Reduce Fatty Infiltration. Cellular and Molecular Bioengineering. 18(5). 387–401.
3.
4.
Hubmacher, Dirk, et al.. (2024). Biomaterial-Based Regenerative Strategies for Volumetric Muscle Loss: Challenges and Solutions. Advances in Wound Care. 14(3). 159–175. 7 indexed citations
5.
Torre, Olivia M., Emily D. Ferreri, Kevin D. Costa, et al.. (2024). Regenerative potential of mouse neonatal intervertebral disc depends on collagen crosslink density. iScience. 27(10). 110883–110883. 4 indexed citations
6.
Jeong, Gun‐Jae, et al.. (2023). In vivo shear wave elasticity imaging for assessment of diaphragm function in muscular dystrophy. Acta Biomaterialia. 168. 277–285. 4 indexed citations
7.
8.
Sayegh, Michael N., Kimberly A. Cooney, Woojin M. Han, et al.. (2023). Hydrogel delivery of purinergic enzymes improves cardiac ischemia/reperfusion injury. Journal of Molecular and Cellular Cardiology. 176. 98–109. 7 indexed citations
9.
Sayegh, Michael N., Kimberly A. Cooney, Woojin M. Han, et al.. (2021). A Hydrogel Strategy to Augment Tissue Adenosine to Improve Hindlimb Perfusion. Arteriosclerosis Thrombosis and Vascular Biology. 41(6). e314–e324. 2 indexed citations
10.
Schildmeyer, Lisa A., et al.. (2021). Morphometric analysis of rat optic nerve head (ONH) astrocytes grown in a 3D cell culture system. Investigative Ophthalmology & Visual Science. 62(8). 2374–2374. 1 indexed citations
11.
Clark, Amy Y., Karen E. Martin, José R. García, et al.. (2020). Integrin-specific hydrogels modulate transplanted human bone marrow-derived mesenchymal stem cell survival, engraftment, and reparative activities. Nature Communications. 11(1). 114–114. 164 indexed citations
12.
Anderson, Shannon E., Woojin M. Han, Mahir Mohiuddin, et al.. (2019). Determination of a Critical Size Threshold for Volumetric Muscle Loss in the Mouse Quadriceps. Tissue Engineering Part C Methods. 25(2). 59–70. 63 indexed citations
13.
Conde‐Sousa, Eduardo, et al.. (2019). Engineering hydrogels with affinity-bound laminin as 3D neural stem cell culture systems. Biomaterials Science. 7(12). 5338–5349. 35 indexed citations
14.
Han, Woojin M., Mahir Mohiuddin, Shannon E. Anderson, Andrés J. Garcı́a, & Young C. Jang. (2019). Co-delivery of Wnt7a and muscle stem cells using synthetic bioadhesive hydrogel enhances murine muscle regeneration and cell migration during engraftment. Acta Biomaterialia. 94. 243–252. 43 indexed citations
15.
Han, Woojin M., Shannon E. Anderson, Mahir Mohiuddin, et al.. (2018). Synthetic matrix enhances transplanted satellite cell engraftment in dystrophic and aged skeletal muscle with comorbid trauma. Science Advances. 4(8). eaar4008–eaar4008. 58 indexed citations
16.
Han, Woojin M., Young C. Jang, & Andrés J. Garcı́a. (2016). Engineered matrices for skeletal muscle satellite cell engraftment and function. Matrix Biology. 60-61. 96–109. 28 indexed citations
17.
Aguilar, Carlos A., Ramona Pop, Anna Shcherbina, et al.. (2016). Transcriptional and Chromatin Dynamics of Muscle Regeneration after Severe Trauma. Stem Cell Reports. 7(5). 983–997. 36 indexed citations
18.
Heo, Su-Jin, Woojin M. Han, Spencer E. Szczesny, et al.. (2016). Mechanically Induced Chromatin Condensation Requires Cellular Contractility in Mesenchymal Stem Cells. Biophysical Journal. 111(4). 864–874. 51 indexed citations
19.
Han, Woojin M., Su‐Jin Heo, Tristan P. Driscoll, et al.. (2013). Macro- to Microscale Strain Transfer in Fibrous Tissues is Heterogeneous and Tissue-Specific. Biophysical Journal. 105(3). 807–817. 62 indexed citations
20.
Smith, Lachlan J., et al.. (2011). Effect of orientation and targeted extracellular matrix degradation on the shear mechanical properties of the annulus fibrosus. Journal of the mechanical behavior of biomedical materials. 4(8). 1611–1619. 28 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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