Peter B. Simpson

2.5k citations
56 papers · 2.2k · h-index 24

Impact in

Papers in

Peter B. Simpson

56 papers receiving 2.1k citations

Peers

Peter B. Simpson
Comparison fields: 5 of 113
  • Developmental Neuroscience 269
  • Cellular and Molecular Neuroscience 1.2k
  • Neurology 210
  • Physiology 110
  • Sensory Systems 107
Replace Sangeeta Chawla with:
Sangeeta Chawla United Kingdom
Yohei Okubo Japan
Pico Caroni Switzerland
Inmaculada Cuchillo‐Ibáñez Spain
Diana Casper United States
Santiago Ambrosio Spain
Angela Ho Canada
Emmanuel M. Landau United States
Juliette Gafni United States
Gareth M. Thomas United States
Peter B. Simpson relative to Sangeeta Chawla United Kingdom Sangeeta Chawla's profile →
Citations per field
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Sangeeta Chawla · 1×
Citations per year

Countries citing papers authored by Peter B. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Peter B. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter B. Simpson. 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 Peter B. Simpson. The network helps show where Peter B. Simpson may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter B. Simpson, 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 Peter B. Simpson Line = papers co-authored together Peter B. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995270
2 1997180
3 2001169
4 1997150
5 1996140
6 1999110
7 1998106
8 199775
9 199365
10 199764
11 200163
12 199856
13 199855
14 199654
15 201948
16 199539
17 200438
18 200437
19 199837
20 200835

About Peter B. Simpson

Peter B. Simpson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology and Neurology, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Ion channel regulation and function (14 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Mitochondrial Function and Pathology (9 papers), Cellular Mechanics and Interactions (5 papers), Cell Image Analysis Techniques (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Developmental Neuroscience (269 citations), Cellular and Molecular Neuroscience (1.2k citations), Neurology (210 citations), Physiology (110 citations) and Sensory Systems (107 citations). Peter B. Simpson has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include James T. Russell, R. A. John Challiss, Stefan R. Nahorski, Regina C. Armstrong, G. David Lange, Julie Kerby, Alison J. Smith, Gopalan V. Pillai, Tracey L. Fisher and John Blenis. Their work appears in journals such as Assay and Drug Development Technologies, Journal of Neurochemistry, Drug Discovery Today, Journal of Biological Chemistry and Nature Reviews Drug Discovery.

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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