Philip J. Horner
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 12
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Nerve injury and regeneration 9
- Axon Guidance and Neuronal Signaling 4
- Neuroscience and Neural Engineering 3
- Ophthalmology top 2%
- Genetics top 5%
- Mesenchymal stem cell research 2
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- Spinal Cord Injury Research 3
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- Mitochondrial Function and Pathology 2
- Co-authors
- Fred H. GageLamya S. ShihabuddinJasodhara RayTheo D. PalmerMichaela ThallmairDrew L. SellersAlejandra BoscoGuangming Wu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Philip J. Horner
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Developmental Neuroscience 815
- Neurology 419
- Cellular and Molecular Neuroscience 714
- Ophthalmology 209
- Genetics 225
Countries citing papers authored by Philip J. Horner
This map shows the geographic impact of Philip J. Horner'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 Philip J. Horner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Horner more than expected).
Fields of papers citing papers by Philip J. Horner
This network shows the impact of papers produced by Philip J. Horner. 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 Philip J. Horner. The network helps show where Philip J. Horner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip J. Horner, 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 | 2020 | 1 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 7 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 64 | |
| 8 | 2015 | 110 | |
| 9 | 2013 | 109 | |
| 10 | 2013 | 38 | |
| 11 | 2011 | 43 | |
| 12 | 2011 | 64 | |
| 13 | 2011 | 80 | |
| 14 | 2011 | 25 | |
| 15 | 2005 | 18 | |
| 16 | 2003 | 92 | |
| 17 | 2003 | 77 | |
| 18 | 2002 | 115 | |
| 19 | 2002 | 46 | |
| 20 | Adult Spinal Cord Stem Cells Generate Neurons after Transplantation in the Adult Dentate Gyrusbreakdown → | 2000 | 548 |
About Philip J. Horner
Philip J. Horner is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (12 papers), Nerve injury and regeneration (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Spinal Cord Injury Research (3 papers), Neuroscience and Neural Engineering (3 papers), Mitochondrial Function and Pathology (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Developmental Neuroscience (815 citations), Neurology (419 citations) and Cellular and Molecular Neuroscience (714 citations). Philip J. Horner has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Fred H. Gage, Lamya S. Shihabuddin, Jasodhara Ray, Theo D. Palmer, Michaela Thallmair, Drew L. Sellers, Alejandra Bosco, Guangming Wu, Denise M. Inman and Monica L. Vetter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.