Travis Dailey
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 10%
- Mesenchymal stem cell research
Papers in ⓘ
-
- Neurogenesis and neuroplasticity mechanisms 4
- Genetics 7
- Mesenchymal stem cell research 7
- Co-authors
- Cesar V. Borlongan (11 shared papers)Kelsey Duncan (2 shared papers)Robert Sullivan (2 shared papers)Naomi Abel (1 shared paper)Yuji Kaneko (10 shared papers)Naoki Tajiri (9 shared papers)Kazutaka Shinozuka (4 shared papers)Hiroto Ishikawa (3 shared papers)
- Journals
- Expert Opinion on Biological Therapy (1 paper)CNS & Neurological Disorders - Drug Targets (1 paper)Journal of Neuroscience (1 paper)Translational Stroke Research (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Travis Dailey
12 papers receiving 475 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 107
- Genetics 147
- Cellular and Molecular Neuroscience 178
- Neurology 76
- Neurology 80
Countries citing papers authored by Travis Dailey
This map shows the geographic impact of Travis Dailey'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 Travis Dailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Dailey more than expected).
Fields of papers citing papers by Travis Dailey
This network shows the impact of papers produced by Travis Dailey. 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 Travis Dailey. The network helps show where Travis Dailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Dailey, 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 | 2016 | 159 | |
| 2 | 2013 | 135 | |
| 3 | 2015 | 36 | |
| 4 | 2013 | 36 | |
| 5 | 2013 | 32 | |
| 6 | 2013 | 29 | |
| 7 | 2015 | 20 | |
| 8 | 2013 | 11 | |
| 9 | 2013 | 9 | |
| 10 | 2013 | 7 | |
| 11 | 2017 | 3 | |
| 12 | 2021 | 2 |
About Travis Dailey
Travis Dailey is a scholar working on Developmental Neuroscience, Genetics, Transplantation, Neurology and Neurology, having authored 12 papers that have together received 479 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Radiation Dose and Imaging (1 paper), MicroRNA in disease regulation (1 paper), Alzheimer's disease research and treatments (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (107 citations), Genetics (147 citations), Cellular and Molecular Neuroscience (178 citations), Neurology (76 citations) and Neurology (80 citations). Travis Dailey has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Cesar V. Borlongan, Kelsey Duncan, Robert Sullivan, Naomi Abel, Yuji Kaneko, Naoki Tajiri, Kazutaka Shinozuka, Hiroto Ishikawa, Mibel Pabon and Meaghan Staples. Their work appears in journals such as Expert Opinion on Biological Therapy, CNS & Neurological Disorders - Drug Targets, Journal of Neuroscience, Translational Stroke Research and Journal of Clinical Medicine.
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.