Pranav Preman
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Neurological Disease Mechanisms and Treatments 1
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- Alzheimer's disease research and treatments 5
- Co-authors
- Amaia M. Arranz (4 shared papers)Elena Alberdi (1 shared paper)Alexei Verkhratsky (1 shared paper)Bart De Strooper (4 shared papers)An Snellinx (2 shared papers)Suresh Poovathingal (2 shared papers)Dietmar Rudolf Thal (1 shared paper)Sebastian Munck (1 shared paper)
- Journals
- Molecular Neurodegeneration (1 paper)EMBO Molecular Medicine (1 paper)Brain Communications (1 paper)Cell Reports (1 paper)Cells (1 paper)
- Partner nations
- BelgiumUnited KingdomSpain
In The Last Decade
Pranav Preman
7 papers receiving 219 citations
Pranav Preman's Hit Papers
Peers
Comparison fields: 5 of 52
- Neurology 127
- Biological Psychiatry 36
- Developmental Neuroscience 33
- Physiology 107
- Cellular and Molecular Neuroscience 49
Countries citing papers authored by Pranav Preman
This map shows the geographic impact of Pranav Preman'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 Pranav Preman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranav Preman more than expected).
Fields of papers citing papers by Pranav Preman
This network shows the impact of papers produced by Pranav Preman. 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 Pranav Preman. The network helps show where Pranav Preman may publish in the future.
Co-authors
The 25 scholars most cited alongside Pranav Preman, 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 | 2021 | 103 | |
| 2 | Xenografted human microglia display diverse transcriptomic states in response to Alzheimer’s disease-related amyloid-β pathology Hit paper breakdown → | 2024 | 55 |
| 3 | 2021 | 44 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 7 | |
| 6 | 2013 | 4 | |
| 7 | 2023 | 1 |
About Pranav Preman
Pranav Preman is a scholar working on Neurology, Physiology, Small Animals, Molecular Biology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 222 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Inflammation biomarkers and pathways (1 paper), Neurological Disease Mechanisms and Treatments (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Brucella: diagnosis, epidemiology, treatment (1 paper). The work is most often cited by research in Neurology (127 citations), Biological Psychiatry (36 citations), Developmental Neuroscience (33 citations), Physiology (107 citations) and Cellular and Molecular Neuroscience (49 citations). Pranav Preman has collaborated with scholars based in Belgium, United Kingdom and Spain. Frequent co-authors include Amaia M. Arranz, Elena Alberdi, Alexei Verkhratsky, Bart De Strooper, An Snellinx, Suresh Poovathingal, Dietmar Rudolf Thal, Sebastian Munck, Lutgarde Serneels and Mark Fiers. Their work appears in journals such as Molecular Neurodegeneration, EMBO Molecular Medicine, Brain Communications, Cell Reports and Cells.
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.