Steve Perrin

3.7k citations
11 papers · 1.7k · 2 hit papers · h-index 8

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 1
    • Neurogenetic and Muscular Disorders Research 3
    • Diabetes and associated disorders 1

Steve Perrin

9 papers receiving 1.6k citations

Steve Perrin's Hit Papers

Preclinical research: Make mouse studies work 2014 · 495 citations
4950+7+14Years since publication200400600

Peers

Steve Perrin
Comparison fields: 5 of 114
  • Developmental Neuroscience 371
  • Cellular and Molecular Neuroscience 560
  • Neurology 288
  • Neurology 132
  • Genetics 155
Replace Emma Andersson with:
Emma Andersson Sweden
Raja Kittappa United States
Mākoto Ishibashi Japan
Kaya Bilgüvar United States
Panagiotis Douvaras United States
Brian G. Condie United States
Carol Hicks United States
Laurence Goutebroze France
Luke T. Krebs United States
Gilbert Bernier Canada
Steve Perrin relative to Emma Andersson Sweden Emma Andersson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Steve Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Steve Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
LINGO-1 is a component of the Nogo-66 receptor/p75 signaling complex
Hit paper breakdown →
2004698
2
Preclinical research: Make mouse studies work
Hit paper breakdown →
2014495
3 2005138
4 2009120
5 201380
6 201863
7 200752
8 202335
9 20091
10 20220
11 20250

About Steve Perrin

Steve Perrin is a scholar working on Molecular Biology, Genetics, Neurology, Surgery and Small Animals, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Xenotransplantation and immune response (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Diabetes and associated disorders (1 paper), Urological Disorders and Treatments (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Developmental Neuroscience (371 citations), Cellular and Molecular Neuroscience (560 citations), Neurology (288 citations), Neurology (132 citations) and Genetics (155 citations). Steve Perrin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Bryan Sands, Jane K. Relton, Thomas Crowell, Benxiu Ji, Richard L. Cate, Norm Allaire, R. Blake Pepinsky, Zhaohui Shao, Greg Thill and John McCoy. Their work appears in journals such as Science Translational Medicine, Journal of Alzheimer s Disease, American Journal of Transplantation, Brain Research and Nature.

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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