Verdon Taylor
Impact in
- Developmental Neuroscience top 0.05%
- Neurogenesis and neuroplasticity mechanisms
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- Axon Guidance and Neuronal Signaling
- Nerve injury and regeneration
Papers in
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- Neurogenesis and neuroplasticity mechanisms 44
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- Axon Guidance and Neuronal Signaling 17
- Hereditary Neurological Disorders 10
- Co-authors
- Ueli SuterClaudio GiachinoOnur BaşakSebastian LugertPhilip KnucklesAnna EnglerFreddy RadtkeRunrui Zhang
- Journals
- Journal of Neuroscience (7 papers)Development (5 papers)Scientific Reports (4 papers)Nature Communications (4 papers)Stem Cells (4 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Verdon Taylor
97 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Developmental Neuroscience 2.5k
- Cellular and Molecular Neuroscience 1.6k
- Neurology 667
- Cancer Research 935
- Molecular Biology 4.0k
Countries citing papers authored by Verdon Taylor
This map shows the geographic impact of Verdon Taylor'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 Verdon Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verdon Taylor more than expected).
Fields of papers citing papers by Verdon Taylor
This network shows the impact of papers produced by Verdon Taylor. 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 Verdon Taylor. The network helps show where Verdon Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Verdon Taylor, 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 | 2024 | 2 | |
| 2 | 2023 | 31 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 62 | |
| 6 | 2017 | 1 | |
| 7 | 2014 | 47 | |
| 8 | 2014 | 79 | |
| 9 | 2010 | 73 | |
| 10 | 2010 | 67 | |
| 11 | Quiescent and Active Hippocampal Neural Stem Cells with Distinct Morphologies Respond Selectively to Physiological and Pathological Stimuli and Aging Hit paper breakdown → | 2010 | 549 |
| 12 | 2009 | 48 | |
| 13 | 2009 | 72 | |
| 14 | 2008 | 17 | |
| 15 | 2005 | 49 | |
| 16 | 2005 | 147 | |
| 17 | 2003 | 38 | |
| 18 | 2002 | 203 | |
| 19 | 2001 | 27 | |
| 20 | 1991 | 111 |
About Verdon Taylor
Verdon Taylor is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Cell Biology, having authored 98 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (44 papers), Developmental Biology and Gene Regulation (21 papers), Epigenetics and DNA Methylation (19 papers), Axon Guidance and Neuronal Signaling (17 papers), Pluripotent Stem Cells Research (11 papers), Hereditary Neurological Disorders (10 papers), MicroRNA in disease regulation (10 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Developmental Neuroscience (2.5k citations), Cellular and Molecular Neuroscience (1.6k citations), Neurology (667 citations), Cancer Research (935 citations) and Molecular Biology (4.0k citations). Verdon Taylor has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ueli Suter, Claudio Giachino, Onur Başak, Sebastian Lugert, Philip Knuckles, Anna Engler, Freddy Radtke, Runrui Zhang, Chiara Rolando and Klaus Fabel. Their work appears in journals such as Journal of Neuroscience, Development, Scientific Reports, Nature Communications and Stem Cells.
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.