Preeti Dave
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Alzheimer's disease research and treatments 3
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- Metabolomics and Mass Spectrometry Studies 1
- S100 Proteins and Annexins 1
- Co-authors
- Prita R. Asih (8 shared papers)Kevin Taddei (8 shared papers)Hamid R. Sohrabi (8 shared papers)Pratishtha Chatterjee (8 shared papers)Ralph N. Martins (8 shared papers)Kathryn Goozee (8 shared papers)Henrik Zetterberg (5 shared papers)Kaj Blennow (5 shared papers)
- Journals
- Journal of Alzheimer s Disease (3 papers)Scientific Reports (2 papers)Journal of Neuroinflammation (1 paper)Translational Psychiatry (1 paper)Alzheimer s & Dementia (1 paper)
- Partner nations
- AustraliaUnited KingdomSweden
In The Last Decade
Preeti Dave
9 papers receiving 534 citations
Preeti Dave's Hit Papers
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 93
- Neurology 91
- Psychiatry and Mental health 137
- Behavioral Neuroscience 30
- Physiology 210
Countries citing papers authored by Preeti Dave
This map shows the geographic impact of Preeti Dave'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 Preeti Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Dave more than expected).
Fields of papers citing papers by Preeti Dave
This network shows the impact of papers produced by Preeti Dave. 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 Preeti Dave. The network helps show where Preeti Dave may publish in the future.
Co-authors
The 25 scholars most cited alongside Preeti Dave, 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 | Plasma glial fibrillary acidic protein is elevated in cognitively normal older adults at risk of Alzheimer’s disease Hit paper breakdown → | 2021 | 291 |
| 2 | 2019 | 56 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 45 | |
| 5 | 2019 | 41 | |
| 6 | 2017 | 37 | |
| 7 | 2020 | 8 | |
| 8 | 2021 | 2 | |
| 9 | 2016 | 2 |
About Preeti Dave
Preeti Dave is a scholar working on Physiology, Molecular Biology, Biological Psychiatry, Psychiatry and Mental health and Surgery, having authored 9 papers that have together received 536 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Tryptophan and brain disorders (2 papers), Pituitary Gland Disorders and Treatments (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Fatty Acid Research and Health (1 paper), S100 Proteins and Annexins (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Biological Psychiatry (93 citations), Neurology (91 citations), Psychiatry and Mental health (137 citations), Behavioral Neuroscience (30 citations) and Physiology (210 citations). Preeti Dave has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Prita R. Asih, Kevin Taddei, Hamid R. Sohrabi, Pratishtha Chatterjee, Ralph N. Martins, Kathryn Goozee, Henrik Zetterberg, Kaj Blennow, Steve Pedrini and Hugo Vanderstichele. Their work appears in journals such as Journal of Alzheimer s Disease, Scientific Reports, Journal of Neuroinflammation, Translational Psychiatry and Alzheimer s & Dementia.
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.