Landon D. Nash

907 total citations
29 papers, 746 citations indexed

About

Landon D. Nash is a scholar working on Polymers and Plastics, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Landon D. Nash has authored 29 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Polymers and Plastics, 10 papers in Biomedical Engineering and 9 papers in Biomaterials. Recurrent topics in Landon D. Nash's work include Polymer composites and self-healing (13 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Landon D. Nash is often cited by papers focused on Polymer composites and self-healing (13 papers), Intracranial Aneurysms: Treatment and Complications (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Landon D. Nash collaborates with scholars based in United States and United Kingdom. Landon D. Nash's co-authors include Duncan J. Maitland, Sayyeda M. Hasan, Róbert Langer, Li Gu, Cody Cleveland, Jiahua Zhu, Dean L. Glettig, Shiyi Zhang, Ross Barman and Giovanni Traverso and has published in prestigious journals such as Advanced Materials, Nature Materials and Molecules.

In The Last Decade

Landon D. Nash

27 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Landon D. Nash United States 12 297 262 253 109 105 29 746
Arpan Biswas India 14 220 0.7× 461 1.8× 375 1.5× 185 1.7× 125 1.2× 18 978
Abhijit Vijay Salvekar Singapore 9 245 0.8× 186 0.7× 122 0.5× 81 0.7× 130 1.2× 10 437
Radka Hobzová Czechia 18 191 0.6× 335 1.3× 406 1.6× 114 1.0× 50 0.5× 39 844
Young Il Yoon South Korea 15 86 0.3× 475 1.8× 453 1.8× 140 1.3× 53 0.5× 27 871
Jiayi Yu United States 17 214 0.7× 307 1.2× 391 1.5× 125 1.1× 29 0.3× 26 872
Jimmy Faivre Canada 16 109 0.4× 128 0.5× 176 0.7× 102 0.9× 86 0.8× 30 778
Ye Hong Australia 14 187 0.6× 78 0.3× 105 0.4× 69 0.6× 37 0.4× 21 782
Joseph P. Park South Korea 11 119 0.4× 289 1.1× 365 1.4× 75 0.7× 35 0.3× 17 907
Christian Willems Germany 10 98 0.3× 204 0.8× 222 0.9× 73 0.7× 35 0.3× 13 604
Steven P. Walsh United States 4 172 0.6× 388 1.5× 373 1.5× 157 1.4× 41 0.4× 7 987

Countries citing papers authored by Landon D. Nash

Since Specialization
Citations

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

Fields of papers citing papers by Landon D. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Landon D. Nash. 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 Landon D. Nash. The network helps show where Landon D. Nash may publish in the future.

Co-authorship network of co-authors of Landon D. Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Landon D. Nash. A scholar is included among the top collaborators of Landon D. Nash 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 Landon D. Nash. Landon D. Nash 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
2.
Nash, Landon D., et al.. (2025). Dormancy in Metastatic Colorectal Cancer: Tissue Engineering Opportunities for In Vitro Modeling. Tissue Engineering Part B Reviews. tenteb20250009–tenteb20250009.
3.
Nash, Landon D., et al.. (2022). Image-Based Evaluation of In Vivo Degradation for Shape-Memory Polymer Polyurethane Foam. Polymers. 14(19). 4122–4122. 4 indexed citations
4.
Jang, Lindy K., et al.. (2021). Enhanced X-ray Visibility of Shape Memory Polymer Foam Using Iodine Motifs and Tantalum Microparticles. Journal of Composites Science. 5(1). 14–14. 1 indexed citations
5.
Jang, Lindy K., Landon D. Nash, Jason Ortega, et al.. (2020). Three-dimensional bioprinting of aneurysm-bearing tissue structure for endovascular deployment of embolization coils. Biofabrication. 13(1). 15006–15006. 14 indexed citations
6.
Nash, Landon D., Lindy K. Jang, Tyler Touchet, et al.. (2020). Chemical Modifications of Porous Shape Memory Polymers for Enhanced X-ray and MRI Visibility. Molecules. 25(20). 4660–4660. 2 indexed citations
7.
Hasan, Sayyeda M., et al.. (2020). Shape Memory Polymer Foams Synthesized Using Glycerol and Hexanetriol for Enhanced Degradation Resistance. Polymers. 12(10). 2290–2290. 14 indexed citations
8.
Nash, Landon D., et al.. (2018). Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure. Journal of Visualized Experiments. 5 indexed citations
9.
Nash, Landon D., et al.. (2018). Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure. Journal of Visualized Experiments. 2 indexed citations
10.
Gordon, Sonya G., John C. Criscione, Ashley B. Saunders, et al.. (2017). An experimental canine patent ductus arteriosus occlusion device based on shape memory polymer foam in a nitinol cage. Journal of the mechanical behavior of biomedical materials. 75. 279–292. 2 indexed citations
11.
Nash, Landon D., et al.. (2017). Increased X-ray Visualization of Shape Memory Polymer Foams by Chemical Incorporation of Iodine Motifs. Polymers. 9(8). 381–381. 10 indexed citations
12.
Hasan, Sayyeda M., Landon D. Nash, & Duncan J. Maitland. (2016). Porous shape memory polymers: Design and applications. Journal of Polymer Science Part B Polymer Physics. 54(14). 1300–1318. 62 indexed citations
13.
Nash, Landon D., Mary Beth Browning Monroe, James K. Carrow, et al.. (2016). Cold Plasma Reticulation of Shape Memory Embolic Tissue Scaffolds. Macromolecular Rapid Communications. 37(23). 1945–1951. 11 indexed citations
14.
Zhang, Shiyi, Andrew M. Bellinger, Dean L. Glettig, et al.. (2015). A pH-responsive supramolecular polymer gel as an enteric elastomer for use in gastric devices. PMC. 2 indexed citations
15.
Landsman, Todd L., Landon D. Nash, Matthew W. Miller, et al.. (2015). In vitro and in vivo evaluation of a shape memory polymer foam‐over‐wire embolization device delivered in saccular aneurysm models. Journal of Biomedical Materials Research Part B Applied Biomaterials. 104(7). 1407–1415. 48 indexed citations
16.
Zhang, Shiyi, Andrew M. Bellinger, Dean L. Glettig, et al.. (2015). A pH-responsive supramolecular polymer gel as an enteric elastomer for use in gastric devices. Nature Materials. 14(10). 1065–1071. 281 indexed citations
17.
Hearon, Keith, Landon D. Nash, Todd L. Landsman, et al.. (2015). A Processable Shape Memory Polymer System for Biomedical Applications. Advanced Healthcare Materials. 4(9). 1386–1398. 66 indexed citations
18.
Rodriguez, Jennifer N., Matthew W. Miller, John Horn, et al.. (2014). Reticulation of low density shape memory polymer foam with an in vivo demonstration of vascular occlusion. Journal of the mechanical behavior of biomedical materials. 40. 102–114. 38 indexed citations
19.
Nash, Landon D., et al.. (2014). Design and Characterization of a Resistively Heated Shape Memory Polymer Micro-Release Device1. Journal of Medical Devices. 8(2). 1 indexed citations
20.
Knight, D.P., et al.. (1998). In vitro formation by reverse dialysis of collagen gels containing highly oriented arrays of fibrils. Journal of Biomedical Materials Research. 41(2). 185–191. 35 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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