Ronald D.G. McKay
- Molecular Biology top 0.1%
- Developmental Neuroscience top 0.01%
- Cellular and Molecular Neuroscience top 0.1%
- Genetics top 0.05%
- Surgery top 0.5%
- Co-authors
- Urban LendahlLyle B. ZimmermanHeather A. CameronJames PickelRobert Y. L. TsaiStefano ChimentiAnnarosa LeriJan Kajstura
- Topics
- Neurogenesis and neuroplasticity mechanisms (64 papers)Pluripotent Stem Cells Research (53 papers)Nerve injury and regeneration (22 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Ronald D.G. McKay
158 papers receiving 24.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 15.3k
- Developmental Neuroscience 7.8k
- Cellular and Molecular Neuroscience 6.4k
- Genetics 4.5k
- Surgery 4.1k
Countries citing papers authored by Ronald D.G. McKay
This map shows the geographic impact of Ronald D.G. McKay'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 Ronald D.G. McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald D.G. McKay more than expected).
Fields of papers citing papers by Ronald D.G. McKay
This network shows the impact of papers produced by Ronald D.G. McKay. 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 Ronald D.G. McKay. The network helps show where Ronald D.G. McKay may publish in the future.
Co-authorship network of co-authors of Ronald D.G. McKay
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald D.G. McKay. A scholar is included among the top collaborators of Ronald D.G. McKay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronald D.G. McKay. Ronald D.G. McKay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 25 | |
| 3 | 23 | |
| 4 | 34 | |
| 5 | 114 | |
| 6 | 38 | |
| 7 | 110 | |
| 8 | 168 | |
| 9 | 47 | |
| 10 | 75 | |
| 11 | 136 | |
| 12 | 10 | |
| 13 | 262 | |
| 14 | 75 | |
| 15 | Development of neuronal precursor cells and functional postmitotic neurons from embryonic stem cells in vitrobreakdown → | 607 |
| 16 | 6 | |
| 17 | Monoclonal antibodies to a rat nestin fusion protein recognize a 220-kDa polypeptide in subsets of fetal and adult human central nervous system neurons and in primitive neuroectodermal tumor cells. | 21 |
| 18 | 108 | |
| 19 | Monoclonal antibodies to neural antigens | 27 |
| 20 | 53 |
About Ronald D.G. McKay
Ronald D.G. McKay is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 159 papers that have together received 24.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (64 papers), Pluripotent Stem Cells Research (53 papers) and Nerve injury and regeneration (22 papers). The work is most often cited by research in Developmental Neuroscience (7.8k citations), Genetics (4.5k citations) and Cellular and Molecular Neuroscience (6.4k citations). Ronald D.G. McKay has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Urban Lendahl, Lyle B. Zimmerman, Heather A. Cameron, James Pickel, Robert Y. L. Tsai, Stefano Chimenti, Annarosa Leri, Jan Kajstura, Baosheng Li and David M. Bodine. Their work appears in journals such as Nature, Science and Cell.
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.