Cody Brown

636 citations
12 papers · 476 · h-index 8

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Electrospun Nanofibers in Biomedical Applications 8
    • biodegradable polymer synthesis and properties 2
    • Tissue Engineering and Regenerative Medicine 7

Cody Brown

12 papers receiving 472 citations

Peers

Cody Brown
Comparison fields: 5 of 65
  • Biomaterials 300
  • Genetics 151
  • Surgery 321
  • Rehabilitation 32
  • Biomedical Engineering 173
Replace Tim Tian Y. Han with:
Tim Tian Y. Han Canada
Shiri Uriel United States
Omair A. Mohiuddin Pakistan
Mitchell Tahtinen United States
Juliana A. Passipieri United States
Cathy Culberson United States
Caroline Ceccaldi France
Renae Waters United States
Mahmut Parmaksız Türkiye
Dejie Zhou United States
Cody Brown relative to Tim Tian Y. Han Canada Tim Tian Y. Han's profile →
Citations per field
00.5×1.5×2.1×
Tim Tian Y. Han · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Cody Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cody Brown Line = papers co-authored together Cody Brown links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2013142
2 201699
3 201557
4 201747
5 201847
6 201826
7 201723
8 201822
9 20224
10 20174
11 20213
12 20222

About Cody Brown

Cody Brown is a scholar working on Biomaterials, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 12 papers that have together received 476 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Mesenchymal stem cell research (2 papers), biodegradable polymer synthesis and properties (2 papers), Vehicle Routing Optimization Methods (1 paper), Connexins and lens biology (1 paper), Web Applications and Data Management (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Biomaterials (300 citations), Genetics (151 citations), Surgery (321 citations), Rehabilitation (32 citations) and Biomedical Engineering (173 citations). Cody Brown has collaborated with scholars based in Canada and United States. Frequent co-authors include Lauren E. Flynn, Claire Yu, John F. Watkins, Juares Bianco, Abbas Samani, Todd Hoare, Brian G. Amsden, Tim Tian Y. Han, Dale M. Marecak and Yan Jing. Their work appears in journals such as Biomaterials, Journal of Visualized Experiments, Scientific Reports, Biomedical Materials and Sustainability.

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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