Ghata Nandi
Impact in
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- Alzheimer's disease research and treatments
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
Papers in
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- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 1
- Pluripotent Stem Cells Research 1
- Histone Deacetylase Inhibitors Research 1
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- Neuroscience and Neural Engineering 1
- Co-authors
- Stephen J. Haggarty (4 shared papers)M. Catarina Silva (4 shared papers)Diane Lucente (2 shared papers)Bradford C. Dickerson (2 shared papers)Fleur M. Ferguson (2 shared papers)Quan-Ying Cai (2 shared papers)Katherine A. Donovan (2 shared papers)Eric S. Fischer (2 shared papers)
- Journals
- Nature Communications (1 paper)Expert Opinion on Therapeutic Targets (1 paper)Frontiers in Cellular Neuroscience (1 paper)Orphanet Journal of Rare Diseases (1 paper)eLife (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Ghata Nandi
6 papers receiving 369 citations
Peers
Comparison fields: 5 of 60
- Physiology 98
- Molecular Biology 255
- Hematology 34
- Neurology 22
- Pharmacology 40
Countries citing papers authored by Ghata Nandi
This map shows the geographic impact of Ghata Nandi'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 Ghata Nandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghata Nandi more than expected).
Fields of papers citing papers by Ghata Nandi
This network shows the impact of papers produced by Ghata Nandi. 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 Ghata Nandi. The network helps show where Ghata Nandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ghata Nandi, 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 | 211 | |
| 2 | 2020 | 108 | |
| 3 | 2022 | 31 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 6 | |
| 6 | 2023 | 6 |
About Ghata Nandi
Ghata Nandi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Epidemiology, having authored 6 papers that have together received 375 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Protein Degradation and Inhibitors (2 papers), Neuroscience and Neural Engineering (1 paper), Ubiquitin and proteasome pathways (1 paper), Pluripotent Stem Cells Research (1 paper), 3D Printing in Biomedical Research (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Physiology (98 citations), Molecular Biology (255 citations), Hematology (34 citations), Neurology (22 citations) and Pharmacology (40 citations). Ghata Nandi has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Stephen J. Haggarty, M. Catarina Silva, Diane Lucente, Bradford C. Dickerson, Fleur M. Ferguson, Quan-Ying Cai, Katherine A. Donovan, Eric S. Fischer, Nathanael S. Gray and Tinghu Zhang. Their work appears in journals such as Nature Communications, Expert Opinion on Therapeutic Targets, Frontiers in Cellular Neuroscience, Orphanet Journal of Rare Diseases and eLife.
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.