Steven M. Paul
- Neurology top 0.05%
- Neuroinflammation and Neurodegeneration Mechanisms 20
- Physiology top 0.05%
- Alzheimer's disease research and treatments 79
- Biological Psychiatry top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 15
- Nuclear Receptors and Signaling 13
- Pharmacology top 0.1%
- Cholinesterase and Neurodegenerative Diseases 21
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- Computational Drug Discovery Methods 12
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- Dementia and Cognitive Impairment Research 10
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- S100 Proteins and Annexins 9
- Co-authors
- Kelly R. BalesDavid M. HoltzmanRonald B. DeMattosMaia ParsadanianJean‐Cosme DodartDavid J. CumminsAnne M. FaganChantal Mathis
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Steven M. Paul
116 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Neurology 3.8k
- Physiology 11.6k
- Biological Psychiatry 978
- Cellular and Molecular Neuroscience 3.7k
- Pharmacology 2.6k
Countries citing papers authored by Steven M. Paul
This map shows the geographic impact of Steven M. Paul'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 M. Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Paul more than expected).
Fields of papers citing papers by Steven M. Paul
This network shows the impact of papers produced by Steven M. Paul. 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 M. Paul. The network helps show where Steven M. Paul may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven M. Paul, 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 | 2025 | 0 | |
| 2 | 2019 | 5 | |
| 3 | 2018 | 123 | |
| 4 | 2018 | 114 | |
| 5 | 2016 | 71 | |
| 6 | 2016 | 135 | |
| 7 | 2015 | 133 | |
| 8 | 2015 | 26 | |
| 9 | 2009 | 60 | |
| 10 | 2008 | 311 | |
| 11 | 2007 | 63 | |
| 12 | 2006 | 181 | |
| 13 | 2005 | 23 | |
| 14 | 2004 | 46 | |
| 15 | 2004 | 40 | |
| 16 | Apolipoprotein E4 influences amyloid deposition but not cell loss after traumatic brain injury in a mouse model of Alzheimer's disease | 2002 | 1 |
| 17 | 2002 | 262 | |
| 18 | 2000 | 77 | |
| 19 | 2000 | 67 | |
| 20 | Cloning and expression of a rat brain interleukin-1beta-converting enzyme (ICE)-related protease (IRP) and its possible role in apoptosis of cultured cerebellar granule neurons | 1997 | 9 |
About Steven M. Paul
Steven M. Paul is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience, having authored 117 papers that have together received 16.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (79 papers), Cholinesterase and Neurodegenerative Diseases (21 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers), Neuroscience and Neuropharmacology Research (15 papers), Nuclear Receptors and Signaling (13 papers), Computational Drug Discovery Methods (12 papers), Dementia and Cognitive Impairment Research (10 papers) and S100 Proteins and Annexins (9 papers). The work is most often cited by research in Neurology (3.8k citations), Physiology (11.6k citations) and Biological Psychiatry (978 citations). Steven M. Paul has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kelly R. Bales, David M. Holtzman, Ronald B. DeMattos, Maia Parsadanian, Jean‐Cosme Dodart, David J. Cummins, Anne M. Fagan, Chantal Mathis, Xin Wu and Mark Odell. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.