Norman J. Haughey
- Virology top 0.1%
- HIV Research and Treatment 62
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders 12
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms 27
- Developmental Neuroscience top 0.5%
- Physiology top 0.5%
- Alzheimer's disease research and treatments 28
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- Sphingolipid Metabolism and Signaling 48
- Lipid Membrane Structure and Behavior 27
- Extracellular vesicles in disease 24
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- HIV-related health complications and treatments 17
- Co-authors
- Mark P. MattsonAvindra NathJonathan D. GeigerVeera Venkata Ratnam BandaruJustin C. McArthurNed SacktorMichelle M. MielkeAvi Nath
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (1 paper)Journal of Neuroscience (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Norman J. Haughey
185 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Virology 3.2k
- Biological Psychiatry 729
- Neurology 2.4k
- Developmental Neuroscience 700
- Physiology 486
Countries citing papers authored by Norman J. Haughey
This map shows the geographic impact of Norman J. Haughey'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 Norman J. Haughey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman J. Haughey more than expected).
Fields of papers citing papers by Norman J. Haughey
This network shows the impact of papers produced by Norman J. Haughey. 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 Norman J. Haughey. The network helps show where Norman J. Haughey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norman J. Haughey, 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 | 2024 | 5 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 136 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 86 | |
| 15 | 2020 | 29 | |
| 16 | 2020 | 30 | |
| 17 | 2019 | 58 | |
| 18 | 2019 | 12 | |
| 19 | Longitudinal changes in CSF metabolites as a prognostic marker for cognition in HIV-infected patients | 2014 | 1 |
| 20 | 2013 | 53 |
About Norman J. Haughey
Norman J. Haughey is a scholar working on Virology, Biological Psychiatry and Neurology, having authored 188 papers that have together received 11.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (62 papers), Sphingolipid Metabolism and Signaling (48 papers), Alzheimer's disease research and treatments (28 papers), Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Lipid Membrane Structure and Behavior (27 papers), Extracellular vesicles in disease (24 papers), HIV-related health complications and treatments (17 papers) and Tryptophan and brain disorders (12 papers). The work is most often cited by research in Virology (3.2k citations), Biological Psychiatry (729 citations) and Neurology (2.4k citations). Norman J. Haughey has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mark P. Mattson, Avindra Nath, Jonathan D. Geiger, Veera Venkata Ratnam Bandaru, Justin C. McArthur, Ned Sacktor, Michelle M. Mielke, Avi Nath, Barbara S. Slusher and Alex M. Dickens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.