George H. DeVries
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 26
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- Nerve injury and regeneration 36
- Axon Guidance and Neuronal Signaling 9
- Hereditary Neurological Disorders 7
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Peripheral Neuropathies and Disorders 7
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Peripheral Neuropathies and Disorders 7
- Cell Biology top 5%
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- Glycosylation and Glycoproteins Research 9
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- Alzheimer's disease research and treatments 8
- Co-authors
- William T. NortonJohn W. BigbeeJun YoshinoT. J. NeubergerNaser MujaJames H. Meador‐WoodruffStewart G. AlbertMichael L. Shelanski
- Partner nations
- United StatesCanadaArgentina
In The Last Decade
George H. DeVries
113 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 795
- Cellular and Molecular Neuroscience 1.5k
- Neurology 347
- Neurology 494
- Cell Biology 413
Countries citing papers authored by George H. DeVries
This map shows the geographic impact of George H. DeVries'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 George H. DeVries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George H. DeVries more than expected).
Fields of papers citing papers by George H. DeVries
This network shows the impact of papers produced by George H. DeVries. 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 George H. DeVries. The network helps show where George H. DeVries may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George H. DeVries, 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 | 2017 | 26 | |
| 2 | 2012 | 6 | |
| 3 | 2008 | 11 | |
| 4 | 2007 | 5 | |
| 5 | 2004 | 26 | |
| 6 | 2004 | 11 | |
| 7 | 2003 | 37 | |
| 8 | 2002 | 97 | |
| 9 | 2000 | 30 | |
| 10 | 1997 | 32 | |
| 11 | 1996 | 46 | |
| 12 | 1995 | 12 | |
| 13 | 1995 | 10 | |
| 14 | 1993 | 2 | |
| 15 | 1992 | 7 | |
| 16 | 1992 | 11 | |
| 17 | 1991 | 20 | |
| 18 | 1988 | 30 | |
| 19 | 1987 | 70 | |
| 20 | Lessons from an alternative culture: the old order Amish | 1981 | 3 |
About George H. DeVries
George H. DeVries is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 114 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (36 papers), Neurogenesis and neuroplasticity mechanisms (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Glycosylation and Glycoproteins Research (9 papers), Axon Guidance and Neuronal Signaling (9 papers), Alzheimer's disease research and treatments (8 papers), Peripheral Neuropathies and Disorders (7 papers) and Hereditary Neurological Disorders (7 papers). The work is most often cited by research in Developmental Neuroscience (795 citations), Cellular and Molecular Neuroscience (1.5k citations) and Neurology (347 citations). George H. DeVries has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include William T. Norton, John W. Bigbee, Jun Yoshino, T. J. Neuberger, Naser Muja, James H. Meador‐Woodruff, Stewart G. Albert, Michael L. Shelanski, James L. Salzer and Richard P. Bunge. Their work appears in journals such as Journal of Neurochemistry, Glia, Neurochemical Research, Brain Research and The Journal of Cell Biology.
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.