Simon Stott

34 papers receiving 1.9k citations

Simon Stott's Hit Papers

Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells 2016 · 531 citations
5310+3+6Years since publication100200300400500

Peers

Simon Stott
Comparison fields: 5 of 105
  • Developmental Neuroscience 289
  • Cellular and Molecular Neuroscience 605
  • Neurology 273
  • Neurology 458
  • Molecular Biology 982
Replace Serena Giannelli with:
Serena Giannelli Italy
Veeranna United States
Sumiko Kiryu‐Seo Japan
Enrique M. Toledo Chile
Zachary P. Wills United States
Caroline Rouaux France
Francesco Paolo Di Giorgio Italy
Hibiki Kawamata United States
W. Michael Zawada United States
Jacqueline A. Sluijs Netherlands
Simon Stott relative to Serena Giannelli Italy Serena Giannelli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Simon Stott

Since Specialization
Citations

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

Fields of papers citing papers by Simon Stott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Stott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Stott Line = papers co-authored together Simon Stott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cells
Hit paper breakdown →
2016531
2 2008133
3 2009122
4 2013109
5 202099
6 201684
7 201675
8 200673
9 202272
10 201370
11 201555
12 201554
13 202353
14 202150
15 200440
16 202437
17 201731
18 200925
19 201724
20 201922

About Simon Stott

Simon Stott is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Neurology and Genetics, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Nuclear Receptors and Signaling (9 papers), Pluripotent Stem Cells Research (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Nerve injury and regeneration (5 papers), Autism Spectrum Disorder Research (4 papers), Neurological disorders and treatments (4 papers) and Olfactory and Sensory Function Studies (3 papers). The work is most often cited by research in Developmental Neuroscience (289 citations), Cellular and Molecular Neuroscience (605 citations), Neurology (273 citations), Neurology (458 citations) and Molecular Biology (982 citations). Simon Stott has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Roger A. Barker, Richard Wyse, Gary Rafaloff, Kevin McFarthing, Daniel Gyllborg, Enrique M. Toledo, Sten Linnarsson, Peter Lönnerberg, Ernest Arenas and Jesper Ryge. Their work appears in journals such as Journal of Parkinson s Disease, PLoS ONE, Experimental Neurology, Journal of Neuroscience and European Journal of Neuroscience.

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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