Behrad Vahidi
Impact in
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- Neuroscience and Neural Engineering
- Nerve injury and regeneration
- Developmental Neuroscience top 10%
Papers in
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- 3D Printing in Biomedical Research 9
- Microfluidic and Capillary Electrophoresis Applications 4
- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- Neuroscience and Neural Engineering 8
- Nerve injury and regeneration 2
- Co-authors
- Seog Woo Rhee (4 shared papers)Noo Li Jeon (2 shared papers)Jeong Won Park (4 shared papers)Anne Marion Taylor (1 shared paper)Francis Lin (1 shared paper)Wajeeh Saadi (1 shared paper)Bong Geun Chung (1 shared paper)Hyung Joon Kim (2 shared papers)
- Journals
- Journal of Visualized Experiments (4 papers)Biomedical Microdevices (1 paper)Annals of Biomedical Engineering (1 paper)Nature Protocols (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Behrad Vahidi
12 papers receiving 748 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 337
- Developmental Neuroscience 49
- Biomedical Engineering 451
- Cell Biology 112
- Biophysics 26
Countries citing papers authored by Behrad Vahidi
This map shows the geographic impact of Behrad Vahidi'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 Behrad Vahidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behrad Vahidi more than expected).
Fields of papers citing papers by Behrad Vahidi
This network shows the impact of papers produced by Behrad Vahidi. 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 Behrad Vahidi. The network helps show where Behrad Vahidi may publish in the future.
Co-authors
The 25 scholars most cited alongside Behrad Vahidi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 359 | |
| 2 | 2007 | 153 | |
| 3 | 2014 | 65 | |
| 4 | 2010 | 46 | |
| 5 | 2012 | 42 | |
| 6 | 2008 | 38 | |
| 7 | 2007 | 15 | |
| 8 | Quantitative analysis of CNS axon regeneration using a microfluidic neuron culture device | 2008 | 11 |
| 9 | 2016 | 11 | |
| 10 | 2007 | 9 | |
| 11 | 2007 | 4 | |
| 12 | 2007 | 2 |
About Behrad Vahidi
Behrad Vahidi is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Oncology, Molecular Biology and Computational Mechanics, having authored 12 papers that have together received 755 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (9 papers), Neuroscience and Neural Engineering (8 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Cancer Cells and Metastasis (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Nerve injury and regeneration (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (337 citations), Developmental Neuroscience (49 citations), Biomedical Engineering (451 citations), Cell Biology (112 citations) and Biophysics (26 citations). Behrad Vahidi has collaborated with scholars based in United States and South Korea. Frequent co-authors include Seog Woo Rhee, Noo Li Jeon, Jeong Won Park, Anne Marion Taylor, Francis Lin, Wajeeh Saadi, Bong Geun Chung, Noo Li Jeon, Hyung Joon Kim and Noo Li Jeon. Their work appears in journals such as Journal of Visualized Experiments, Biomedical Microdevices, Annals of Biomedical Engineering, Nature Protocols and Oncotarget.
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.