Jonathan M. Grasman

914 total citations
22 papers, 708 citations indexed

About

Jonathan M. Grasman is a scholar working on Surgery, Biomaterials and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan M. Grasman has authored 22 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 10 papers in Biomaterials and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan M. Grasman's work include Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Nerve injury and regeneration (7 papers). Jonathan M. Grasman is often cited by papers focused on Tissue Engineering and Regenerative Medicine (12 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Nerve injury and regeneration (7 papers). Jonathan M. Grasman collaborates with scholars based in United States. Jonathan M. Grasman's co-authors include George D. Pins, Raymond Page, David L. Kaplan, Burçin Yavuz, Bradley Napier, Siwei Zhao, J. Orcajo Rincón, Peter Tseng, Yu Wang and Ying Chen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Jonathan M. Grasman

22 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Grasman United States 12 367 253 253 214 120 22 708
Ho‐Man Kan United States 15 385 1.0× 234 0.9× 275 1.1× 149 0.7× 53 0.4× 34 809
Jinjie Cui China 16 737 2.0× 269 1.1× 138 0.5× 224 1.0× 99 0.8× 21 1.0k
Tanchen Ren China 20 537 1.5× 370 1.5× 232 0.9× 226 1.1× 93 0.8× 46 1.2k
Thomas S. Wilems United States 14 279 0.8× 238 0.9× 124 0.5× 123 0.6× 172 1.4× 18 721
Ho Pan Bei Hong Kong 12 524 1.4× 224 0.9× 146 0.6× 154 0.7× 50 0.4× 14 872
Mai T. Lam United States 16 490 1.3× 324 1.3× 356 1.4× 233 1.1× 66 0.6× 26 966
Hee Seok Yang South Korea 14 656 1.8× 320 1.3× 208 0.8× 77 0.4× 136 1.1× 18 900
Yunfan Kong United States 15 322 0.9× 257 1.0× 224 0.9× 134 0.6× 185 1.5× 22 831

Countries citing papers authored by Jonathan M. Grasman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Grasman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan M. Grasman

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Grasman. A scholar is included among the top collaborators of Jonathan M. Grasman 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 Jonathan M. Grasman. Jonathan M. Grasman 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.
Grasman, Jonathan M., et al.. (2024). Fabrication of ECM protein coated hollow collagen channels to study peripheral nerve regeneration. Scientific Reports. 14(1). 16096–16096. 6 indexed citations
2.
Grasman, Jonathan M., et al.. (2024). In Vitro Models for Peripheral Nerve Regeneration. Advanced Healthcare Materials. 13(30). e2401605–e2401605. 5 indexed citations
3.
Grasman, Jonathan M., et al.. (2024). Current Methodologies for Inducing Aligned Myofibers in Tissue Constructs for Skeletal Muscle Tissue Regeneration. Advances in Wound Care. 14(2). 114–131. 2 indexed citations
4.
Grasman, Jonathan M., et al.. (2023). Porous biomaterial scaffolds for skeletal muscle tissue engineering. Frontiers in Bioengineering and Biotechnology. 11. 1245897–1245897. 25 indexed citations
5.
Patel, Milan, et al.. (2023). Aligned Collagen Sponges with Tunable Pore Size for Skeletal Muscle Tissue Regeneration. Journal of Functional Biomaterials. 14(11). 533–533. 11 indexed citations
6.
Grasman, Jonathan M., et al.. (2022). Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation. SHILAP Revista de lepidopterología. 2022. 9854084–9854084. 5 indexed citations
7.
Siddiqui, Zain, et al.. (2021). Self-assembling peptide hydrogels facilitate vascularization in two-component scaffolds. Chemical Engineering Journal. 422. 130145–130145. 30 indexed citations
8.
Grasman, Jonathan M., et al.. (2020). Recent Trends in Injury Models to Study Skeletal Muscle Regeneration and Repair. Bioengineering. 7(3). 76–76. 39 indexed citations
9.
Pfister, Bryan J., Jonathan M. Grasman, & Joseph R. Loverde. (2020). Exploiting biomechanics to direct the formation of nervous tissue. Current Opinion in Biomedical Engineering. 14. 59–66. 3 indexed citations
10.
Grasman, Jonathan M., et al.. (2019). Hyperosmolar Potassium Inhibits Myofibroblast Conversion and Reduces Scar Tissue Formation. ACS Biomaterials Science & Engineering. 5(10). 5327–5336. 10 indexed citations
11.
Zhao, Siwei, Peter Tseng, Jonathan M. Grasman, et al.. (2018). Programmable Hydrogel Ionic Circuits for Biologically Matched Electronic Interfaces. Advanced Materials. 30(25). e1800598–e1800598. 142 indexed citations
12.
Grasman, Jonathan M. & David L. Kaplan. (2017). Human endothelial cells secrete neurotropic factors to direct axonal growth of peripheral nerves. Scientific Reports. 7(1). 4092–4092. 68 indexed citations
13.
Grasman, Jonathan M., Raymond Page, & George D. Pins. (2017). Design of an In Vitro Model of Cell Recruitment for Skeletal Muscle Regeneration Using Hepatocyte Growth Factor-Loaded Fibrin Microthreads. Tissue Engineering Part A. 23(15-16). 773–783. 7 indexed citations
14.
Grasman, Jonathan M., et al.. (2016). The Effect of Sterilization Methods on the Structural and Chemical Properties of Fibrin Microthread Scaffolds. Macromolecular Bioscience. 16(6). 836–846. 11 indexed citations
15.
Grasman, Jonathan M., et al.. (2015). Biomimetic scaffolds for regeneration of volumetric muscle loss in skeletal muscle injuries. Acta Biomaterialia. 25. 2–15. 188 indexed citations
16.
Grasman, Jonathan M., et al.. (2015). Rapid release of growth factors regenerates force output in volumetric muscle loss injuries. Biomaterials. 72. 49–60. 62 indexed citations
17.
Grasman, Jonathan M., et al.. (2014). Static axial stretching enhances the mechanical properties and cellular responses of fibrin microthreads. Acta Biomaterialia. 10(10). 4367–4376. 16 indexed citations
18.
Grasman, Jonathan M., Raymond Page, Tanja Dominko, & George D. Pins. (2014). Enhancing cell recruitment onto crosslinked fibrin microthreads with hepatocyte growth factor. 278. 1–2. 1 indexed citations
19.
Grasman, Jonathan M., Raymond Page, Tanja Dominko, & George D. Pins. (2012). Crosslinking strategies facilitate tunable structural properties of fibrin microthreads. Acta Biomaterialia. 8(11). 4020–4030. 22 indexed citations
20.
Valentin, Jolene E., Donald O. Freytes, Jonathan M. Grasman, et al.. (2008). Oxygen diffusivity of biologic and synthetic scaffold materials for tissue engineering. Journal of Biomedical Materials Research Part A. 91A(4). 1010–1017. 29 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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