Deepti Chugh
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 9
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- Neuroinflammation and Neurodegeneration Mechanisms 7
- Co-authors
- Christine T. Ekdahl (9 shared papers)Idrish Ali (4 shared papers)Per Nilsson (2 shared papers)W. David Arnold (6 shared papers)Chitra C. Iyer (4 shared papers)Martin Kriebel (1 shared paper)Hansjürgen Volkmer (1 shared paper)Victoria L. Harvey (1 shared paper)
- Journals
- Neurobiology of Aging (3 papers)Experimental Neurology (2 papers)Cellular and Molecular Immunology (2 papers)Neurobiology of Disease (2 papers)PLoS ONE (2 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Deepti Chugh
17 papers receiving 426 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 90
- Neurology 147
- Biological Psychiatry 27
- Cellular and Molecular Neuroscience 166
- Psychiatry and Mental health 85
Countries citing papers authored by Deepti Chugh
This map shows the geographic impact of Deepti Chugh'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 Deepti Chugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Chugh more than expected).
Fields of papers citing papers by Deepti Chugh
This network shows the impact of papers produced by Deepti Chugh. 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 Deepti Chugh. The network helps show where Deepti Chugh may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepti Chugh, 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 | 2013 | 84 | |
| 2 | 2014 | 71 | |
| 3 | 2011 | 55 | |
| 4 | 2019 | 34 | |
| 5 | 2015 | 29 | |
| 6 | 2012 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2018 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2016 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2014 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2017 | 5 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Deepti Chugh
Deepti Chugh is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Developmental Neuroscience and Neurology, having authored 19 papers that have together received 428 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Muscle Physiology and Disorders (5 papers), Cerebral Palsy and Movement Disorders (2 papers), Immune Response and Inflammation (2 papers), Muscle metabolism and nutrition (2 papers) and Family and Disability Support Research (2 papers). The work is most often cited by research in Developmental Neuroscience (90 citations), Neurology (147 citations), Biological Psychiatry (27 citations), Cellular and Molecular Neuroscience (166 citations) and Psychiatry and Mental health (85 citations). Deepti Chugh has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Christine T. Ekdahl, Idrish Ali, Per Nilsson, W. David Arnold, Chitra C. Iyer, Martin Kriebel, Hansjürgen Volkmer, Victoria L. Harvey, Kirsten Harvey and Mark M. Rich. Their work appears in journals such as Neurobiology of Aging, Experimental Neurology, Cellular and Molecular Immunology, Neurobiology of Disease and PLoS ONE.
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.