Steven Perrin
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
- Neurology 10
- Amyotrophic Lateral Sclerosis Research 10
- Parkinson's Disease Mechanisms and Treatments 2
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- Single-cell and spatial transcriptomics 3
- Molecular Biology Techniques and Applications 3
- RNA Research and Splicing 3
- Gene expression and cancer classification 2
- Co-authors
- H. Franklin Bunn (1 shared paper)Gary Gilliland (1 shared paper)Fernando G. Vieira (8 shared papers)Alan Gill (7 shared papers)Norm Allaire (3 shared papers)Joshua D. Kidd (6 shared papers)Kenneth Thompson (6 shared papers)Apinya Ngam-ek (1 shared paper)
- Journals
- PLoS ONE (4 papers)Genomics (2 papers)Connective Tissue Research (1 paper)BioTechniques (1 paper)Critical Reviews in Eukaryotic Gene Expression (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Steven Perrin
18 papers receiving 900 citations
Peers
Comparison fields: 5 of 102
- Neurology 243
- Immunology 244
- Genetics 93
- Neurology 62
- Aging 9
Countries citing papers authored by Steven Perrin
This map shows the geographic impact of Steven 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 Steven Perrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Perrin more than expected).
Fields of papers citing papers by Steven Perrin
This network shows the impact of papers produced by Steven 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 Steven Perrin. The network helps show where Steven Perrin may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Perrin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 230 | |
| 2 | 2005 | 224 | |
| 3 | 2010 | 102 | |
| 4 | 2009 | 71 | |
| 5 | 2015 | 68 | |
| 6 | 2017 | 44 | |
| 7 | 2022 | 39 | |
| 8 | 2017 | 33 | |
| 9 | 2022 | 27 | |
| 10 | 2014 | 23 | |
| 11 | 1999 | 16 | |
| 12 | 1997 | 16 | |
| 13 | 2002 | 14 | |
| 14 | 2006 | 8 | |
| 15 | 2004 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2015 | 1 |
About Steven Perrin
Steven Perrin is a scholar working on Neurology, Molecular Biology, Genetics, Immunology and Cell Biology, having authored 18 papers that have together received 927 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Molecular Biology Techniques and Applications (3 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (243 citations), Immunology (244 citations), Genetics (93 citations), Neurology (62 citations) and Aging (9 citations). Steven Perrin has collaborated with scholars based in United States and Canada. Frequent co-authors include H. Franklin Bunn, Gary Gilliland, Fernando G. Vieira, Alan Gill, Norm Allaire, Joshua D. Kidd, Kenneth Thompson, Apinya Ngam-ek, Jeffrey L. Browning and Roy A. Fava. Their work appears in journals such as PLoS ONE, Genomics, Connective Tissue Research, BioTechniques and Critical Reviews in Eukaryotic Gene Expression.
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.