Steven W. Barger
- Biological Psychiatry top 0.5%
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 25
- Physiology top 0.5%
- Alzheimer's disease research and treatments 50
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 18
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 13
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- Immune Response and Inflammation 14
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- S100 Proteins and Annexins 13
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- Cholinesterase and Neurodegenerative Diseases 12
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- NF-κB Signaling Pathways 12
- Co-authors
- Mark P. MattsonLinda J. Van EldikW. Sue T. GriffinLing LiuAnthony S. BasileXianrong MaoAngela M. BodlesRobert J. Mark
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Steven W. Barger
108 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Biological Psychiatry 746
- Neurology 2.4k
- Physiology 3.3k
- Cellular and Molecular Neuroscience 2.1k
- Biochemistry 698
Countries citing papers authored by Steven W. Barger
This map shows the geographic impact of Steven W. Barger'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 W. Barger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven W. Barger more than expected).
Fields of papers citing papers by Steven W. Barger
This network shows the impact of papers produced by Steven W. Barger. 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 W. Barger. The network helps show where Steven W. Barger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven W. Barger, 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 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2015 | 62 | |
| 4 | 2013 | 25 | |
| 5 | 2011 | 24 | |
| 6 | 2009 | 140 | |
| 7 | 2009 | 44 | |
| 8 | 2007 | 53 | |
| 9 | 2007 | 199 | |
| 10 | 2006 | 207 | |
| 11 | 2005 | 22 | |
| 12 | 2004 | 22 | |
| 13 | 2004 | 86 | |
| 14 | 2003 | 445 | |
| 15 | 2002 | 33 | |
| 16 | 1998 | 93 | |
| 17 | Microglial activation by Alzheimer amyloid precursor protein and modulation by apolipoprotein Ebreakdown → | 1997 | 522 |
| 18 | 1997 | 40 | |
| 19 | 1995 | 60 | |
| 20 | 1992 | 6 |
About Steven W. Barger
Steven W. Barger is a scholar working on Biological Psychiatry, Neurology and Biochemistry, having authored 111 papers that have together received 8.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (50 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Neuroscience and Neuropharmacology Research (18 papers), Immune Response and Inflammation (14 papers), Amino Acid Enzymes and Metabolism (13 papers), S100 Proteins and Annexins (13 papers), Cholinesterase and Neurodegenerative Diseases (12 papers) and NF-κB Signaling Pathways (12 papers). The work is most often cited by research in Biological Psychiatry (746 citations), Neurology (2.4k citations) and Physiology (3.3k citations). Steven W. Barger has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Mark P. Mattson, Linda J. Van Eldik, W. Sue T. Griffin, Ling Liu, Anthony S. Basile, Xianrong Mao, Angela M. Bodles, Robert J. Mark, Koichi Furukawa and Katsutoshi Furukawa. Their work appears in journals such as Nature, 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.