Evi Paouri
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Neurological Disease Mechanisms and Treatments 1
- Barrier Structure and Function Studies 1
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- Alzheimer's disease research and treatments 5
- Co-authors
- Spiros Georgopoulos (5 shared papers)Dimitrios Davalos (2 shared papers)Katerina Akassoglou (1 shared paper)Kalliopi Thanopoulou (1 shared paper)Apostolos Klinakis (1 shared paper)Reshmi Tognatta (1 shared paper)Defne Bayık (1 shared paper)Joshua B. Rubin (1 shared paper)
- Journals
- Experimental Neurology (1 paper)Scientific Reports (1 paper)Neuro-Oncology (1 paper)Current Alzheimer Research (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- GreeceUnited States
In The Last Decade
Evi Paouri
7 papers receiving 248 citations
Peers
Comparison fields: 5 of 71
- Biological Psychiatry 62
- Neurology 125
- Physiology 116
- Developmental Neuroscience 14
- Behavioral Neuroscience 8
Countries citing papers authored by Evi Paouri
This map shows the geographic impact of Evi Paouri'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 Evi Paouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evi Paouri more than expected).
Fields of papers citing papers by Evi Paouri
This network shows the impact of papers produced by Evi Paouri. 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 Evi Paouri. The network helps show where Evi Paouri may publish in the future.
Co-authors
The 19 scholars most cited alongside Evi Paouri, 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 | 2019 | 74 | |
| 2 | 2017 | 61 | |
| 3 | 2017 | 36 | |
| 4 | 2020 | 28 | |
| 5 | 2013 | 23 | |
| 6 | 2019 | 18 | |
| 7 | 2020 | 11 |
About Evi Paouri
Evi Paouri is a scholar working on Neurology, Physiology, Immunology, Computational Theory and Mathematics and Pharmacology, having authored 7 papers that have together received 251 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Computational Drug Discovery Methods (2 papers), Immune Response and Inflammation (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Neurological Disease Mechanisms and Treatments (1 paper), Barrier Structure and Function Studies (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Biological Psychiatry (62 citations), Neurology (125 citations), Physiology (116 citations), Developmental Neuroscience (14 citations) and Behavioral Neuroscience (8 citations). Evi Paouri has collaborated with scholars based in Greece and United States. Frequent co-authors include Spiros Georgopoulos, Dimitrios Davalos, Katerina Akassoglou, Kalliopi Thanopoulou, Apostolos Klinakis, Reshmi Tognatta, Defne Bayık, Joshua B. Rubin, Ulhas P. Naik and James R. Connor. Their work appears in journals such as Experimental Neurology, Scientific Reports, Neuro-Oncology, Current Alzheimer Research 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.