Sonia Gandhi
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments 44
- Neurological disorders and treatments 10
- Neurological diseases and metabolism 9
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 44
- Neurological disorders and treatments 10
- Neurological diseases and metabolism 9
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- Nuclear Receptors and Signaling 14
- Genetic Neurodegenerative Diseases 7
- Physiology top 1%
- Alzheimer's disease research and treatments 22
- Biological Psychiatry top 2%
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- Mitochondrial Function and Pathology 11
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- Autophagy in Disease and Therapy 5
- Co-authors
- Andrey Y. AbramovNicholas WoodEmma DeasDavid KlenermanPlamena R. AngelovaMathew H. HorrocksAlison Wood‐KaczmarMinee L. Choi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Sonia Gandhi
82 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Neurology 3.2k
- Neurology 1.1k
- Cellular and Molecular Neuroscience 1.8k
- Physiology 1.9k
- Biological Psychiatry 147
Countries citing papers authored by Sonia Gandhi
This map shows the geographic impact of Sonia Gandhi'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 Sonia Gandhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Gandhi more than expected).
Fields of papers citing papers by Sonia Gandhi
This network shows the impact of papers produced by Sonia Gandhi. 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 Sonia Gandhi. The network helps show where Sonia Gandhi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sonia Gandhi, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 6 | |
| 11 | 2018 | 44 | |
| 12 | 2018 | 31 | |
| 13 | 2018 | 110 | |
| 14 | 2017 | 69 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 142 | |
| 17 | Estimation of Genetic Diversity among Sweet Corn Genotypes Revealed by SSR Markers | 2015 | 1 |
| 18 | 2014 | 2 | |
| 19 | 2012 | 62 | |
| 20 | 2006 | 251 |
About Sonia Gandhi
Sonia Gandhi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 86 papers that have together received 6.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (44 papers), Alzheimer's disease research and treatments (22 papers), Nuclear Receptors and Signaling (14 papers), Mitochondrial Function and Pathology (11 papers), Neurological disorders and treatments (10 papers), Neurological diseases and metabolism (9 papers), Genetic Neurodegenerative Diseases (7 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Neurology (3.2k citations), Neurology (1.1k citations) and Cellular and Molecular Neuroscience (1.8k citations). Sonia Gandhi has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Andrey Y. Abramov, Nicholas Wood, Emma Deas, David Klenerman, Plamena R. Angelova, Mathew H. Horrocks, Alison Wood‐Kaczmar, Minee L. Choi, Hélène Plun‐Favreau and L. Miguel Martins. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.