Avdesh Avdesh
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
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- Fish Ecology and Management Studies
Papers in
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- Zebrafish Biomedical Research Applications 5
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- Cannabis and Cannabinoid Research 2
- Cholinesterase and Neurodegenerative Diseases 1
- Co-authors
- Mathew T. Martin‐Iverson (8 shared papers)Ralph N. Martins (7 shared papers)Alinda Mondal (5 shared papers)Giuseppe Verdile (5 shared papers)Mengqi Chen (5 shared papers)Michael Lardelli (4 shared papers)David Groth (4 shared papers)Kevin Taddei (2 shared papers)
- Journals
- Psychopharmacology (2 papers)Journal of Visualized Experiments (2 papers)Journal of Alzheimer s Disease (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Avdesh Avdesh
8 papers receiving 436 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 257
- Nature and Landscape Conservation 94
- Health, Toxicology and Mutagenesis 49
- Neurology 27
- Aging 5
Countries citing papers authored by Avdesh Avdesh
This map shows the geographic impact of Avdesh Avdesh'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 Avdesh Avdesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avdesh Avdesh more than expected).
Fields of papers citing papers by Avdesh Avdesh
This network shows the impact of papers produced by Avdesh Avdesh. 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 Avdesh Avdesh. The network helps show where Avdesh Avdesh may publish in the future.
Co-authors
The 12 scholars most cited alongside Avdesh Avdesh, 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 | 2012 | 253 | |
| 2 | 2012 | 116 | |
| 3 | 2012 | 25 | |
| 4 | Natural Colour Preference in the Zebrafish (Danio rerio) | 2010 | 20 |
| 5 | 2012 | 15 | |
| 6 | 2011 | 8 | |
| 7 | 2011 | 3 | |
| 8 | 2011 | 2 |
About Avdesh Avdesh
Avdesh Avdesh is a scholar working on Cell Biology, Pharmacology, Cognitive Neuroscience, Molecular Biology and Computational Theory and Mathematics, having authored 8 papers that have together received 442 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Cannabis and Cannabinoid Research (2 papers), Memory and Neural Mechanisms (2 papers), Alzheimer's disease research and treatments (1 paper), Computational Drug Discovery Methods (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Cell Biology (257 citations), Nature and Landscape Conservation (94 citations), Health, Toxicology and Mutagenesis (49 citations), Neurology (27 citations) and Aging (5 citations). Avdesh Avdesh has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Mathew T. Martin‐Iverson, Ralph N. Martins, Alinda Mondal, Giuseppe Verdile, Mengqi Chen, Michael Lardelli, David Groth, Kevin Taddei, Stephanie R. Rainey‐Smith and Morgan Newman. Their work appears in journals such as Psychopharmacology, Journal of Visualized Experiments, Journal of Alzheimer s Disease 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.