Brad Raos

434 citations
25 papers · 296 · h-index 11

Impact in

Papers in

Brad Raos

25 papers receiving 290 citations

Peers

Brad Raos
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 129
  • Molecular Medicine 18
  • Biomedical Engineering 147
  • Biomaterials 31
  • Developmental Neuroscience 9
Replace Mattia Pesce with:
Mattia Pesce Italy
Hong Cheng China
Natascha Schaefer Germany
Bradyn J. Parker Australia
Yi-Hua Hsu Taiwan
Emily G. Thompson United States
Zhuo Huang China
Abijeet Singh Mehta United States
Paulo Falabella United States
Janko Kajtez Denmark
Brad Raos relative to Mattia Pesce Italy Mattia Pesce's profile →
Citations per field
00.5×4.1×
Mattia Pesce · 1×
Citations per year

Countries citing papers authored by Brad Raos

Since Specialization
Citations

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

Fields of papers citing papers by Brad Raos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brad Raos, 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 Brad Raos Line = papers co-authored together Brad Raos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 202140
3 202227
4 202423
5 202221
6 201315
7 201915
8 201613
9 201812
10 201710
11 202110
12 20239
13 20229
14 20228
15 20187
16 20226
17 20255
18 20195
19 20245
20 20194

About Brad Raos

Brad Raos is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 25 papers that have together received 296 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), 3D Printing in Biomedical Research (9 papers), Nerve injury and regeneration (4 papers), Hydrogels: synthesis, properties, applications (4 papers), Conducting polymers and applications (3 papers), Spinal Cord Injury Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (129 citations), Molecular Medicine (18 citations), Biomedical Engineering (147 citations), Biomaterials (31 citations) and Developmental Neuroscience (9 citations). Brad Raos has collaborated with scholars based in New Zealand, Sweden and United Kingdom. Frequent co-authors include Darren Svirskis, Simon J. O’Carroll, Zaid Aqrawe, E. Scott Graham, Bruce Harland, Zimei Wu, Mahima Bansal, M. Cather Simpson, A.F. Murray and Colin Doyle. Their work appears in journals such as Scientific Reports, Journal of Neural Engineering, Drug Delivery and Translational Research, Biomedical Materials and ACS Biomaterials Science & Engineering.

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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