Patrick N. Pompl
Impact in
- Biological Psychiatry top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
Papers in
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- Alzheimer's disease research and treatments 6
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- S100 Proteins and Annexins 3
- Co-authors
- Giulio Maria Pasinetti (8 shared papers)Weiping Qin (3 shared papers)Zhongmin Xiang (3 shared papers)Lap Ho (2 shared papers)Yuanzhen Peng (2 shared papers)Zhong Zhao (2 shared papers)Lap Ho (4 shared papers)Gina Cambareri (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Neurobiology of Aging (2 papers)Gene Expression (1 paper)Journal of Biological Chemistry (1 paper)Drugs (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Patrick N. Pompl
8 papers receiving 1.1k citations
Patrick N. Pompl's Hit Papers
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 68
- Neurology 210
- Physiology 626
- Pharmacology 206
- Cellular and Molecular Neuroscience 205
Countries citing papers authored by Patrick N. Pompl
This map shows the geographic impact of Patrick N. Pompl'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 Patrick N. Pompl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick N. Pompl more than expected).
Fields of papers citing papers by Patrick N. Pompl
This network shows the impact of papers produced by Patrick N. Pompl. 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 Patrick N. Pompl. The network helps show where Patrick N. Pompl may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick N. Pompl, 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 | Diet‐induced insulin resistance promotes amyloidosis in a transgenic mouse model of Alzheimer's disease Hit paper breakdown → | 2004 | 553 |
| 2 | 2003 | 130 | |
| 3 | 1999 | 128 | |
| 4 | 2002 | 117 | |
| 5 | 2003 | 105 | |
| 6 | 2003 | 95 | |
| 7 | 2003 | 28 | |
| 8 | 2002 | 3 | |
| 9 | 2002 | 0 |
About Patrick N. Pompl
Patrick N. Pompl is a scholar working on Physiology, Molecular Biology, Neurology, Pharmacology and Computational Theory and Mathematics, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), S100 Proteins and Annexins (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Computational Drug Discovery Methods (2 papers), Inflammatory mediators and NSAID effects (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Nuclear Receptors and Signaling (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Biological Psychiatry (68 citations), Neurology (210 citations), Physiology (626 citations), Pharmacology (206 citations) and Cellular and Molecular Neuroscience (205 citations). Patrick N. Pompl has collaborated with scholars based in United States and Italy. Frequent co-authors include Giulio Maria Pasinetti, Weiping Qin, Zhongmin Xiang, Lap Ho, Yuanzhen Peng, Zhong Zhao, Lap Ho, Gina Cambareri, Patrick R. Hof and Anne B. Rocher. Their work appears in journals such as The FASEB Journal, Neurobiology of Aging, Gene Expression, Journal of Biological Chemistry and Drugs.
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.