David G. Wilkinson
Impact in
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms
- Cellular and Molecular Neuroscience top 0.1%
- Axon Guidance and Neuronal Signaling
Papers in
-
- Axon Guidance and Neuronal Signaling 55
- Cell Biology 43
- Hippo pathway signaling and YAP/TAZ 19
- Zebrafish Biomedical Research Applications 19
- Co-authors
- M. Ángela NietoSamir BhattQiling XuRobb KrumlaufAndrew P. McMahonGeorg MellitzerClive HolmesPatrick Charnay
- Journals
- Development (24 papers)Developmental Biology (12 papers)Nature (9 papers)International Journal of Geriatric Psychiatry (8 papers)Mechanisms of Development (7 papers)
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
David G. Wilkinson
166 papers receiving 16.7k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Developmental Neuroscience 1.7k
- Cellular and Molecular Neuroscience 5.3k
- Cell Biology 3.5k
- Molecular Biology 11.7k
- Neurology 833
Countries citing papers authored by David G. Wilkinson
This map shows the geographic impact of David G. Wilkinson'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 David G. Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Wilkinson more than expected).
Fields of papers citing papers by David G. Wilkinson
This network shows the impact of papers produced by David G. Wilkinson. 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 David G. Wilkinson. The network helps show where David G. Wilkinson may publish in the future.
Co-authors
The 25 scholars most cited alongside David G. Wilkinson, 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 | 2022 | 3 | |
| 2 | 2020 | 45 | |
| 3 | 2020 | 41 | |
| 4 | 2019 | 15 | |
| 5 | 2018 | 30 | |
| 6 | 2016 | 10 | |
| 7 | 2015 | 2 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 43 | |
| 10 | 2013 | 26 | |
| 11 | 2013 | 31 | |
| 12 | 2009 | 190 | |
| 13 | 2007 | 3 | |
| 14 | 2004 | 40 | |
| 15 | 2004 | 364 | |
| 16 | 2001 | 32 | |
| 17 | 2000 | 176 | |
| 18 | 1997 | 57 | |
| 19 | 1989 | 455 | |
| 20 | 1987 | 1 |
About David G. Wilkinson
David G. Wilkinson is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience, Molecular Biology and Psychiatry and Mental health, having authored 167 papers that have together received 17.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (63 papers), Axon Guidance and Neuronal Signaling (55 papers), Congenital heart defects research (25 papers), Hippo pathway signaling and YAP/TAZ (19 papers), Zebrafish Biomedical Research Applications (19 papers), Wnt/β-catenin signaling in development and cancer (16 papers), Angiogenesis and VEGF in Cancer (12 papers) and TGF-β signaling in diseases (9 papers). The work is most often cited by research in Developmental Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (5.3k citations), Cell Biology (3.5k citations), Molecular Biology (11.7k citations) and Neurology (833 citations). David G. Wilkinson has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include M. Ángela Nieto, Samir Bhatt, Qiling Xu, Robb Krumlauf, Andrew P. McMahon, Georg Mellitzer, Clive Holmes, Patrick Charnay, Bernhard G. Herrmann and James A. R. Nicoll. Their work appears in journals such as Development, Developmental Biology, Nature, International Journal of Geriatric Psychiatry and Mechanisms of Development.
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.