Chase Kingsbury
- Developmental Neuroscience top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Neurological Disease Mechanisms and Treatments 3
- Parkinson's Disease Mechanisms and Treatments 3
- Traumatic Brain Injury and Neurovascular Disturbances 3
- Genetics top 10%
- Mesenchymal stem cell research 5
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- Neuroinflammation and Neurodegeneration Mechanisms 8
- Neurological Disease Mechanisms and Treatments 3
- Parkinson's Disease Mechanisms and Treatments 3
- Traumatic Brain Injury and Neurovascular Disturbances 3
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- Nerve injury and regeneration 2
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- Retinal Development and Disorders 3
- Pluripotent Stem Cells Research 2
- Co-authors
- Cesar V. BorlonganJea-Young LeeNadia SadanandanBlaise CozeneHung NguyenNaoki TajiriSydney CoreyBella Gonzales‐Portillo
- Journals
- SHILAP Revista de lepidopterología (1 paper)Neurobiology of Disease (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- United StatesMexicoPeru
In The Last Decade
Chase Kingsbury
18 papers receiving 315 citations
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 55
- Neurology 84
- Genetics 98
- Neurology 49
- Cellular and Molecular Neuroscience 52
Countries citing papers authored by Chase Kingsbury
This map shows the geographic impact of Chase Kingsbury'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 Chase Kingsbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chase Kingsbury more than expected).
Fields of papers citing papers by Chase Kingsbury
This network shows the impact of papers produced by Chase Kingsbury. 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 Chase Kingsbury. The network helps show where Chase Kingsbury may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chase Kingsbury, 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 | 2025 | 0 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 37 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 47 | |
| 17 | 2019 | 18 | |
| 18 | 2019 | 19 | |
| 19 | 2018 | 49 |
About Chase Kingsbury
Chase Kingsbury is a scholar working on Neurology, Health Informatics and Developmental Neuroscience, having authored 19 papers that have together received 318 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Mesenchymal stem cell research (5 papers), Neurological Disease Mechanisms and Treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Retinal Development and Disorders (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Pluripotent Stem Cells Research (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Developmental Neuroscience (55 citations), Neurology (84 citations) and Genetics (98 citations). Chase Kingsbury has collaborated with scholars based in United States, Mexico and Peru. Frequent co-authors include Cesar V. Borlongan, Jea-Young Lee, Nadia Sadanandan, Blaise Cozene, Hung Nguyen, Naoki Tajiri, Sydney Corey, Bella Gonzales‐Portillo, Elliot G. Neal and Seong‐Jin Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurobiology of Disease and Experimental Biology and 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.