Eric D. Laywell
- Developmental Neuroscience top 0.05%
- Neurogenesis and neuroplasticity mechanisms 30
- Genetics top 0.5%
- Mesenchymal stem cell research 10
- Glioma Diagnosis and Treatment 4
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 9
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- Nerve injury and regeneration 7
- Axon Guidance and Neuronal Signaling 6
- Neuroscience and Neuropharmacology Research 3
- Cancer Research top 5%
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- Pluripotent Stem Cells Research 10
- Co-authors
- Dennis A. SteindlerValery G. KukekovOleg SuslovFrank D. VrionisТ Н ИгнатоваEric C. HollandPasko RakićGregory P. Marshall
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Eric D. Laywell
42 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Developmental Neuroscience 2.3k
- Genetics 1.1k
- Neurology 676
- Cellular and Molecular Neuroscience 1.4k
- Cancer Research 570
Countries citing papers authored by Eric D. Laywell
This map shows the geographic impact of Eric D. Laywell'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 Eric D. Laywell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Laywell more than expected).
Fields of papers citing papers by Eric D. Laywell
This network shows the impact of papers produced by Eric D. Laywell. 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 Eric D. Laywell. The network helps show where Eric D. Laywell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric D. Laywell, 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 | 2014 | 31 | |
| 2 | 2011 | 40 | |
| 3 | 2008 | 24 | |
| 4 | 2007 | 59 | |
| 5 | 2006 | 37 | |
| 6 | 2006 | 304 | |
| 7 | 2006 | 18 | |
| 8 | 2004 | 234 | |
| 9 | 2003 | 16 | |
| 10 | 2002 | 21 | |
| 11 | 2002 | 7 | |
| 12 | Human cortical glial tumors contain neural stem‐like cells expressing astroglial and neuronal markers in vitrobreakdown → | 2002 | 750 |
| 13 | 1999 | 81 | |
| 14 | 1999 | 397 | |
| 15 | 1996 | 18 | |
| 16 | 1996 | 13 | |
| 17 | 1995 | 232 | |
| 18 | 1995 | 90 | |
| 19 | 1993 | 68 | |
| 20 | 1990 | 118 |
About Eric D. Laywell
Eric D. Laywell is a scholar working on Developmental Neuroscience, Neurology, Genetics, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 42 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (30 papers), Pluripotent Stem Cells Research (10 papers), Mesenchymal stem cell research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Nerve injury and regeneration (7 papers), Axon Guidance and Neuronal Signaling (6 papers), Glioma Diagnosis and Treatment (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Developmental Neuroscience (2.3k citations), Genetics (1.1k citations), Neurology (676 citations), Cellular and Molecular Neuroscience (1.4k citations) and Cancer Research (570 citations). Eric D. Laywell has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Dennis A. Steindler, Valery G. Kukekov, Oleg Suslov, Frank D. Vrionis, Т Н Игнатова, Eric C. Holland, Pasko Rakić, Gregory P. Marshall, Andréas Faissner and Björn Scheffler. Their work appears in journals such as Experimental Neurology, Glia, Stem Cells, The Journal of Comparative Neurology and Neuroscience.
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.