Shane Grealish

3.4k citations
19 papers · 2.5k indexed · 1 hit paper · h-index 18
Topics
Pluripotent Stem Cells Research (15 papers)Nerve injury and regeneration (8 papers)CRISPR and Genetic Engineering (7 papers)

In The Last Decade

Shane Grealish

19 papers receiving 2.5k citations

Hit Papers

Generation of Regionally Specified Neural Progenitors and...20122026201620212012100200300400

Peers

Shane Grealish
Comparison fields: 5 of 82
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 1.4k
  • Developmental Neuroscience 753
  • Neurology 453
  • Biomedical Engineering 201
Replace Lachlan H. Thompson with:
Lachlan H. Thompson Australia
Agnete Kirkeby Sweden
Dustin R. Wakeman United States
Oliver Cooper United States
Jinghua Piao United States
James Wood Sweden
Gunnar Hargus United States
Sonja Kriks United States
Julius A. Steinbeck United States
Jonathan M. Auerbach United States
Shane Grealish relative to Lachlan H. Thompson Australia Lachlan H. Thompson's profile →
Citations per field
00.5×1.5×
Lachlan H. Thompson · 1×
Citations per year

Countries citing papers authored by Shane Grealish

Since Specialization
Citations

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

Fields of papers citing papers by Shane Grealish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Grealish

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 216
2 71
3 52
4 37
5 117
6 189
7 21
8 150
9 85
10 316
11 42
12 7
13 20
14 324
15
Generation of Regionally Specified Neural Progenitors and Functional Neurons from Human Embryonic Stem Cells under Defined Conditionsbreakdown →
494
16 112
17 112
18 110
19 33

About Shane Grealish

Shane Grealish is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 19 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), Nerve injury and regeneration (8 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Developmental Neuroscience (753 citations), Cellular and Molecular Neuroscience (1.4k citations) and Neurology (453 citations). Shane Grealish has collaborated with scholars based in Sweden, Australia and United Kingdom. Frequent co-authors include Malin Parmar, Anders Björklund, Agnete Kirkeby, Daniel Wolf, Claire Henchcliffe, Bengt Mattsson, Olle Lindvall, Martin Lundblad, Jenny Nelander and Olof Torper. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature reviews. Neuroscience and Brain.

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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