Jason L. Guo

1.2k total citations
32 papers, 947 citations indexed

About

Jason L. Guo is a scholar working on Biomedical Engineering, Surgery and Biomaterials. According to data from OpenAlex, Jason L. Guo has authored 32 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 9 papers in Surgery and 6 papers in Biomaterials. Recurrent topics in Jason L. Guo's work include 3D Printing in Biomedical Research (11 papers), Bone Tissue Engineering Materials (7 papers) and Wound Healing and Treatments (5 papers). Jason L. Guo is often cited by papers focused on 3D Printing in Biomedical Research (11 papers), Bone Tissue Engineering Materials (7 papers) and Wound Healing and Treatments (5 papers). Jason L. Guo collaborates with scholars based in United States, Netherlands and India. Jason L. Guo's co-authors include Antonios G. Mikos, Antonios G. Mikos, Sean M. Bittner, Anthony J. Melchiorri, Shengmin Zhang, Yingying Du, Jianglin Wang, Yu Seon Kim, Michael T. Longaker and Hannah A. Pearce and has published in prestigious journals such as Nature, Nature Immunology and Biomaterials.

In The Last Decade

Jason L. Guo

29 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason L. Guo United States 17 580 285 188 137 105 32 947
Qingfei Liang China 12 758 1.3× 272 1.0× 168 0.9× 147 1.1× 57 0.5× 16 1.1k
Farahnaz Fahimipour United States 22 937 1.6× 427 1.5× 159 0.8× 210 1.5× 95 0.9× 45 1.5k
Honghyun Park South Korea 21 621 1.1× 409 1.4× 198 1.1× 144 1.1× 94 0.9× 45 1.2k
Berivan Çeçen Türkiye 18 731 1.3× 302 1.1× 242 1.3× 253 1.8× 109 1.0× 42 1.2k
Young Jin Lee South Korea 11 581 1.0× 443 1.6× 228 1.2× 139 1.0× 76 0.7× 19 927
Ji Min Seok South Korea 16 733 1.3× 320 1.1× 237 1.3× 128 0.9× 62 0.6× 25 933
Seunghun S. Lee South Korea 20 1.1k 1.8× 464 1.6× 154 0.8× 260 1.9× 133 1.3× 34 1.7k
Emma Watson United States 13 434 0.7× 233 0.8× 141 0.8× 154 1.1× 96 0.9× 22 748
Tianpeng Xu China 12 480 0.8× 211 0.7× 84 0.4× 212 1.5× 198 1.9× 24 926

Countries citing papers authored by Jason L. Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jason L. Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason L. Guo. 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 Jason L. Guo. The network helps show where Jason L. Guo may publish in the future.

Co-authorship network of co-authors of Jason L. Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jason L. Guo. A scholar is included among the top collaborators of Jason L. Guo 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 Jason L. Guo. Jason L. Guo 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.
Guo, Jason L., Jung-Ki Yoon, John Lu, et al.. (2025). Histological signatures map anti-fibrotic factors in mouse and human lungs. Nature. 641(8064). 993–1004. 9 indexed citations
2.
Spann, Nathanael J., Wenxi Tang, Fenghua Zeng, et al.. (2025). Genetic variation in the activity of a TREM2–p53 signaling axis determines oxygen-induced lung injury. Nature Immunology. 26(8). 1287–1298.
3.
Griffin, Michelle, Jason L. Guo, Jennifer Parker, et al.. (2025). Multi-omic analysis reveals retinoic acid molecular drivers for dermal fibrosis and regenerative repair in the skin. Cell stem cell. 32(9). 1421–1437.e6.
4.
Longaker, Michael T., et al.. (2024). AI in plastic surgery: customizing care for each patient. 4(4). 296–315. 3 indexed citations
5.
Mascharak, Shamik, Jason L. Guo, Michelle Griffin, et al.. (2024). Modelling and targeting mechanical forces in organ fibrosis. Nature Reviews Bioengineering. 2(4). 305–323. 16 indexed citations
6.
Griffin, Michelle, Jason L. Guo, Kellen Chen, et al.. (2024). Deferoxamine topical cream superior to patch in rescuing radiation‐induced fibrosis of unwounded and wounded skin. Journal of Cellular and Molecular Medicine. 28(8). e18306–e18306. 4 indexed citations
7.
Guo, Jason L., Michael Januszyk, & Michael T. Longaker. (2022). Machine Learning in Tissue Engineering. Tissue Engineering Part A. 29(1-2). 2–19. 34 indexed citations
8.
Griffin, Michelle, et al.. (2022). Adipose-Derived Stromal Cell-Based Therapies for Radiation-Induced Fibrosis. Advances in Wound Care. 13(5). 235–252. 8 indexed citations
9.
Lavin, Christopher V., Michelle Griffin, Jason L. Guo, et al.. (2022). Transdermal deferoxamine administration improves excisional wound healing in chronically irradiated murine skin. Journal of Translational Medicine. 20(1). 274–274. 32 indexed citations
10.
Bittner, Sean M., Hannah A. Pearce, Katie Hogan, et al.. (2021). Swelling Behaviors of 3D Printed Hydrogel and Hydrogel-Microcarrier Composite Scaffolds. Tissue Engineering Part A. 27(11-12). 665–678. 45 indexed citations
11.
Kim, Yu Seon, et al.. (2021). A dual-gelling poly(N-isopropylacrylamide)-based ink and thermoreversible poloxamer support bath for high-resolution bioprinting. Bioactive Materials. 14. 302–312. 30 indexed citations
12.
Kim, Yu Seon, Jason L. Guo, Hannah A. Pearce, et al.. (2021). Evaluation of tissue integration of injectable, cell‐laden hydrogels of cocultures of mesenchymal stem cells and articular chondrocytes with an ex vivo cartilage explant model. Biotechnology and Bioengineering. 118(8). 2958–2966. 11 indexed citations
13.
Guo, Jason L., Yu Seon Kim, Gerry L. Koons, et al.. (2021). Bilayered, peptide-biofunctionalized hydrogels for in vivo osteochondral tissue repair. Acta Biomaterialia. 128. 120–129. 29 indexed citations
14.
Guo, Jason L., Yu Seon Kim, Elysse A. Orchard, et al.. (2020). A Rabbit Femoral Condyle Defect Model for Assessment of Osteochondral Tissue Regeneration. Tissue Engineering Part C Methods. 26(11). 554–564. 7 indexed citations
15.
Kim, Yu Seon, Jason L. Guo, Brandon T. Smith, et al.. (2020). Chondrogenesis of cocultures of mesenchymal stem cells and articular chondrocytes in poly(l-lysine)-loaded hydrogels. Journal of Controlled Release. 328. 710–721. 17 indexed citations
16.
Kim, Yu Seon, Jason L. Guo, Johnny Lam, et al.. (2019). Synthesis of Injectable, Thermally Responsive, Chondroitin Sulfate-Cross-Linked Poly(N-isopropylacrylamide) Hydrogels. ACS Biomaterials Science & Engineering. 5(12). 6405–6413. 15 indexed citations
17.
Guo, Jason L., Yu Seon Kim, & Antonios G. Mikos. (2019). Biomacromolecules for Tissue Engineering: Emerging Biomimetic Strategies. Biomacromolecules. 20(8). 2904–2912. 32 indexed citations
18.
Bittner, Sean M., Jason L. Guo, & Antonios G. Mikos. (2018). Spatiotemporal control of growth factors in three-dimensional printed scaffolds. Bioprinting. 12. e00032–e00032. 60 indexed citations
19.
Bittner, Sean M., Jason L. Guo, Anthony J. Melchiorri, & Antonios G. Mikos. (2018). Three-dimensional printing of multilayered tissue engineering scaffolds. Materials Today. 21(8). 861–874. 142 indexed citations
20.
Guo, Jason L., et al.. (2014). High Ionic Strength Formation of DOPA‐Melanin Coating for Loading and Release of Cationic Antimicrobial Compounds. Advanced Materials Interfaces. 1(6). 56 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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