Young C. Jang

5.0k total citations · 3 hit papers
53 papers, 3.8k citations indexed

About

Young C. Jang is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Young C. Jang has authored 53 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Biomedical Engineering and 12 papers in Surgery. Recurrent topics in Young C. Jang's work include Muscle Physiology and Disorders (22 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Mesenchymal stem cell research (9 papers). Young C. Jang is often cited by papers focused on Muscle Physiology and Disorders (22 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Mesenchymal stem cell research (9 papers). Young C. Jang collaborates with scholars based in United States, South Korea and United Kingdom. Young C. Jang's co-authors include Amy J. Wagers, Massimiliano Cerletti, Christophe Benoıst, Dalia Burzyn, Wilson Kuswanto, Diane Mathis, Jennifer L. Shadrach, Dmitriy Kolodin, Tze Guan Tan and Esen Sefik and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Young C. Jang

52 papers receiving 3.7k citations

Hit Papers

A Special Population of Regulatory T Cells Potentiates Mu... 2013 2026 2017 2021 2013 2014 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young C. Jang United States 24 1.9k 868 807 518 504 53 3.8k
Alexander R. Pinto Australia 25 2.2k 1.2× 823 0.9× 324 0.4× 231 0.4× 973 1.9× 44 4.3k
Madeleine Durbeej Sweden 38 3.6k 1.9× 409 0.5× 719 0.9× 322 0.6× 582 1.2× 78 5.7k
Ok Hee Jeon South Korea 19 1.4k 0.8× 623 0.7× 1.2k 1.5× 222 0.4× 252 0.5× 30 3.5k
George Dickson United Kingdom 48 6.6k 3.5× 388 0.4× 858 1.1× 474 0.9× 522 1.0× 172 7.8k
William E. Lowry United States 38 6.4k 3.4× 554 0.6× 666 0.8× 732 1.4× 848 1.7× 91 9.5k
Akitsu Hotta Japan 38 4.7k 2.5× 270 0.3× 385 0.5× 665 1.3× 997 2.0× 88 5.7k
Melissa J. Spencer United States 47 5.3k 2.8× 384 0.4× 1.4k 1.8× 387 0.7× 558 1.1× 100 6.5k
Alessandra Sacco United States 27 3.8k 2.0× 152 0.2× 880 1.1× 851 1.6× 1.3k 2.6× 53 5.1k
April D. Pyle United States 30 3.6k 1.9× 203 0.2× 367 0.5× 546 1.1× 590 1.2× 62 4.5k

Countries citing papers authored by Young C. Jang

Since Specialization
Citations

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

Fields of papers citing papers by Young C. Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young C. Jang. 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 Young C. Jang. The network helps show where Young C. Jang may publish in the future.

Co-authorship network of co-authors of Young C. Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Young C. Jang. A scholar is included among the top collaborators of Young C. Jang 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 Young C. Jang. Young C. Jang 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.
Wei, Shibo, Thai Thanh Hoang Thi, Jung‐Nyoung Heo, et al.. (2025). Hydrogen Peroxide-Releasing Hydrogel-Mediated Cellular Senescence Model for Aging Research. Biomaterials Research. 29. 161–161. 1 indexed citations
2.
Kim, Hyeonseok, et al.. (2023). Soft implantable printed bioelectronic system for wireless continuous monitoring of restenosis. Biosensors and Bioelectronics. 241. 115650–115650. 17 indexed citations
3.
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
4.
Anderson, Shannon E., T. Turner, Peng Qiu, et al.. (2023). Identifying dysregulated immune cell subsets following volumetric muscle loss with pseudo-time trajectories. Communications Biology. 6(1). 749–749. 7 indexed citations
6.
Larouche, Jacqueline, Paula Fraczek, Carol Davis, et al.. (2022). Neutrophil and natural killer cell imbalances prevent muscle stem cell–mediated regeneration following murine volumetric muscle loss. Proceedings of the National Academy of Sciences. 119(15). e2111445119–e2111445119. 41 indexed citations
7.
Jeong, Gun‐Jae, Gwang‐Bum Im, Tae‐Jin Lee, et al.. (2021). Development of a stem cell spheroid‐laden patch with high retention at skin wound site. Bioengineering & Translational Medicine. 7(2). e10279–e10279. 13 indexed citations
8.
Kim, Sung‐Won, Gwang‐Bum Im, Gun‐Jae Jeong, et al.. (2021). Delivery of a spheroids-incorporated human dermal fibroblast sheet increases angiogenesis and M2 polarization for wound healing. Biomaterials. 275. 120954–120954. 38 indexed citations
9.
Shcherbina, Anna, Jacqueline Larouche, Paula Fraczek, et al.. (2020). Dissecting Murine Muscle Stem Cell Aging through Regeneration Using Integrative Genomic Analysis. Cell Reports. 32(4). 107964–107964. 48 indexed citations
10.
Chandrasekharan, Bindu, et al.. (2020). Cu/Zn Superoxide Dismutase (Sod1) regulates the canonical Wnt signaling pathway. Biochemical and Biophysical Research Communications. 534. 720–726. 11 indexed citations
11.
Kwon, Young‐Tae, Yun‐Soung Kim, Shinjae Kwon, et al.. (2020). All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces. Nature Communications. 11(1). 3450–3450. 179 indexed citations
12.
Kwon, Young‐Tae, James J. S. Norton, Hyo‐Ryoung Lim, et al.. (2020). Breathable, large-area epidermal electronic systems for recording electromyographic activity during operant conditioning of H-reflex. Biosensors and Bioelectronics. 165. 112404–112404. 29 indexed citations
13.
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
14.
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
15.
Kwong, Jennifer Q., Jiuzhou Huo, Michael J. Bround, et al.. (2018). The mitochondrial calcium uniporter underlies metabolic fuel preference in skeletal muscle. JCI Insight. 3(22). 61 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.
Rao, Tata Nageswara, Jessica Sullivan, Manoj K. Gupta, et al.. (2015). High-level Gpr56 expression is dispensable for the maintenance and function of hematopoietic stem and progenitor cells in mice. Stem Cell Research. 14(3). 307–322. 21 indexed citations
19.
Sinha, Manisha, Young C. Jang, Juhyun Oh, et al.. (2014). Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Muscle. Science. 344(6184). 649–652. 621 indexed citations breakdown →
20.
Jang, Young C., Yuhong Liu, Christopher R. Hayworth, et al.. (2012). Dietary restriction attenuates age‐associated muscle atrophy by lowering oxidative stress in mice even in complete absence of CuZnSOD. Aging Cell. 11(5). 770–782. 83 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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