Cody Brown

636 total citations
12 papers, 476 citations indexed

About

Cody Brown is a scholar working on Biomaterials, Surgery and Genetics. According to data from OpenAlex, Cody Brown has authored 12 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 7 papers in Surgery and 2 papers in Genetics. Recurrent topics in Cody Brown's work include Electrospun Nanofibers in Biomedical Applications (8 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Mesenchymal stem cell research (2 papers). Cody Brown is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (8 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Mesenchymal stem cell research (2 papers). Cody Brown collaborates with scholars based in Canada and United States. Cody Brown's co-authors include Lauren E. Flynn, Claire Yu, Abbas Samani, Todd Hoare, Juares Bianco, John F. Watkins, Brian G. Amsden, Dale M. Marecak, Yan Jing and Tim Tian Y. Han and has published in prestigious journals such as Biomaterials, Scientific Reports and Sustainability.

In The Last Decade

Cody Brown

12 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cody Brown Canada 8 321 300 173 151 73 12 476
Tim Tian Y. Han Canada 5 261 0.8× 244 0.8× 137 0.8× 141 0.9× 36 0.5× 5 367
Shiri Uriel United States 9 244 0.8× 299 1.0× 202 1.2× 65 0.4× 110 1.5× 9 509
Omair A. Mohiuddin Pakistan 12 178 0.6× 154 0.5× 131 0.8× 98 0.6× 52 0.7× 21 376
Cathy Culberson United States 14 252 0.8× 277 0.9× 267 1.5× 90 0.6× 111 1.5× 16 637
Yichi Xu China 10 179 0.6× 171 0.6× 166 1.0× 55 0.4× 74 1.0× 13 462
Juliana A. Passipieri United States 13 216 0.7× 173 0.6× 177 1.0× 62 0.4× 202 2.8× 15 445
Dejie Zhou United States 5 149 0.5× 121 0.4× 196 1.1× 200 1.3× 104 1.4× 8 435
Mahmut Parmaksız Türkiye 12 324 1.0× 332 1.1× 242 1.4× 41 0.3× 94 1.3× 22 583
Jixin Xue China 11 243 0.8× 295 1.0× 174 1.0× 46 0.3× 74 1.0× 21 578
Jenna N. Harvestine United States 12 125 0.4× 138 0.5× 229 1.3× 113 0.7× 64 0.9× 14 425

Countries citing papers authored by Cody Brown

Since Specialization
Citations

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

Fields of papers citing papers by Cody Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cody Brown. 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 Cody Brown. The network helps show where Cody Brown may publish in the future.

Co-authorship network of co-authors of Cody Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Cody Brown. A scholar is included among the top collaborators of Cody Brown 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 Cody Brown. Cody Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Seo, Jaho, et al.. (2022). Optimization of Snowplow Routes for Real-World Conditions. Sustainability. 14(20). 13130–13130. 4 indexed citations
2.
Klein, Sarah, et al.. (2022). The World-Wide Adaptations of Diabetic Management in the Face of COVID-19 and Socioeconomic Disparities: A Scoping Review. Cureus. 14(11). e31911–e31911. 2 indexed citations
3.
Seo, Jaho, et al.. (2021). Snowplow Route Optimization Using Chinese Postman Problem and Tabu Search Algorithm. Proceedings of the ... ISARC. 3 indexed citations
4.
Yu, Claire, et al.. (2018). Decellularized Adipose Tissue Scaffolds for Soft Tissue Regeneration and Adipose-Derived Stem/Stromal Cell Delivery. Methods in molecular biology. 1773. 53–71. 26 indexed citations
5.
Young, Stuart, Stephen E. Sherman, Tyler T. Cooper, et al.. (2018). Mechanically resilient injectable scaffolds for intramuscular stem cell delivery and cytokine release. Biomaterials. 159. 146–160. 47 indexed citations
6.
Barr, Kevin, John J. Kelly, Danielle Johnston, et al.. (2018). Pannexin 1 regulates adipose stromal cell differentiation and fat accumulation. Scientific Reports. 8(1). 16166–16166. 22 indexed citations
7.
Brown, Cody, et al.. (2017). Fabrication of Extracellular Matrix-derived Foams and Microcarriers as Tissue-specific Cell Culture and Delivery Platforms. Journal of Visualized Experiments. 23 indexed citations
8.
Kuljanin, Miljan, et al.. (2017). Collagenase treatment enhances proteomic coverage of low-abundance proteins in decellularized matrix bioscaffolds. Biomaterials. 144. 130–143. 47 indexed citations
9.
Brown, Cody, et al.. (2017). Fabrication of Extracellular Matrix-derived Foams and Microcarriers as Tissue-specific Cell Culture and Delivery Platforms. Journal of Visualized Experiments. 4 indexed citations
12.
Yu, Claire, Juares Bianco, Cody Brown, et al.. (2013). Porous decellularized adipose tissue foams for soft tissue regeneration. Biomaterials. 34(13). 3290–3302. 142 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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