RD McKay

2.0k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

RD McKay is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, RD McKay has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Developmental Neuroscience and 4 papers in Molecular Biology. Recurrent topics in RD McKay's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (2 papers) and Nerve injury and regeneration (2 papers). RD McKay is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (2 papers) and Nerve injury and regeneration (2 papers). RD McKay collaborates with scholars based in United States and Sweden. RD McKay's co-authors include Susan Hockfield, Kristen Frederiksen, SH Hendry, Carlos Vicario‐Abejón, Anders Björklund, Philippe Horellou, Jacques Mallet, Cecilia Lundberg, C Bentlage and Alberto Martínez‐Serrano and has published in prestigious journals such as Cell and Journal of Neuroscience.

In The Last Decade

RD McKay

8 papers receiving 1.6k citations

Hit Papers

Identification of major cell classes in the developing ma... 1985 2026 1998 2012 1985 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of major cell classes in the developing mammalian nervous system
    1985 665 citations Susan Hockfield, RD McKay Journal of Neuroscience profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
RD McKay United States 7 966 918 744 211 180 8 1.6k
Tetsushi Kagawa Japan 23 780 0.8× 1.1k 1.2× 581 0.8× 187 0.9× 218 1.2× 36 1.8k
Bernard Zalc France 30 1.1k 1.1× 1.1k 1.2× 629 0.8× 348 1.6× 188 1.0× 58 2.2k
M. Schachner Germany 18 1.1k 1.1× 1.3k 1.4× 1.2k 1.6× 336 1.6× 360 2.0× 28 2.5k
Dino P. Leone United States 16 773 0.8× 1.0k 1.1× 786 1.1× 191 0.9× 314 1.7× 19 1.9k
F.J. Roisen United States 16 826 0.9× 777 0.8× 627 0.8× 100 0.5× 161 0.9× 32 1.5k
Vance Handley United States 23 640 0.7× 790 0.9× 584 0.8× 183 0.9× 109 0.6× 30 1.5k
Samuel Weiss Canada 5 1.3k 1.4× 1.0k 1.1× 805 1.1× 237 1.1× 92 0.5× 7 1.9k
Dante J. Morassutti United States 11 1.1k 1.1× 749 0.8× 675 0.9× 227 1.1× 97 0.5× 14 1.8k
Dimitra Thomaidou Greece 23 600 0.6× 838 0.9× 638 0.9× 127 0.6× 126 0.7× 40 1.5k
Philippe Cochard France 25 841 0.9× 1.4k 1.5× 858 1.2× 114 0.5× 436 2.4× 46 2.4k

Countries citing papers authored by RD McKay

Since Specialization
Citations

This map shows the geographic impact of RD 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 RD McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RD McKay more than expected).

Fields of papers citing papers by RD McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by RD 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 RD McKay. The network helps show where RD McKay may publish in the future.

Co-authorship network of co-authors of RD McKay

This figure shows the co-authorship network connecting the top 25 collaborators of RD McKay. A scholar is included among the top collaborators of RD 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 RD McKay. RD McKay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
2.
Martínez‐Serrano, Alberto, Cecilia Lundberg, Philippe Horellou, et al.. (1995). CNS-derived neural progenitor cells for gene transfer of nerve growth factor to the adult rat brain: complete rescue of axotomized cholinergic neurons after transplantation into the septum. Journal of Neuroscience. 15(8). 5668–5680. 113 indexed citations
3.
Vicario‐Abejón, Carlos, et al.. (1995). Cerebellar precursors transplanted to the neonatal dentate gyrus express features characteristic of hippocampal neurons. Journal of Neuroscience. 15(10). 6351–6363. 96 indexed citations
4.
Takahashi, Hiroshi, et al.. (1995). Dopaminergic regulation of transcription factor expression in organotypic cultures of developing striatum. Journal of Neuroscience. 15(3). 2367–2384. 36 indexed citations
5.
Frederiksen, Kristen & RD McKay. (1988). Proliferation and differentiation of rat neuroepithelial precursor cells in vivo. Journal of Neuroscience. 8(4). 1144–1151. 485 indexed citations
6.
Hendry, SH, et al.. (1988). Neuronal populations stained with the monoclonal antibody Cat-301 in the mammalian cerebral cortex and thalamus. Journal of Neuroscience. 8(2). 518–542. 151 indexed citations
7.
8.
Hockfield, Susan & RD McKay. (1985). Identification of major cell classes in the developing mammalian nervous system. Journal of Neuroscience. 5(12). 3310–3328. 665 indexed citations breakdown →

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.

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