Rebecca Banerjee
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 25
- Neurological disorders and treatments 14
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Amyotrophic Lateral Sclerosis Research 5
- Vagus Nerve Stimulation Research 3
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 25
- Neurological disorders and treatments 14
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Amyotrophic Lateral Sclerosis Research 5
- Vagus Nerve Stimulation Research 3
- Biological Psychiatry top 5%
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- Nerve injury and regeneration 5
- Nuclear Receptors and Signaling 4
- Physiology top 5%
- Alzheimer's disease research and treatments 4
- Co-authors
- Bobby ThomasHoward E. GendelmanM. Flint BealR. Lee MosleyAshley D. ReynoldsCarl NathanAihao DingAnatoly A. Starkov
- Cited by
- NeurologyBiological Psychiatry
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Rebecca Banerjee
44 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 100
- Neurology 934
- Neurology 1.6k
- Biological Psychiatry 127
- Cellular and Molecular Neuroscience 704
- Physiology 666
Countries citing papers authored by Rebecca Banerjee
This map shows the geographic impact of Rebecca Banerjee'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 Rebecca Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Banerjee more than expected).
Fields of papers citing papers by Rebecca Banerjee
This network shows the impact of papers produced by Rebecca Banerjee. 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 Rebecca Banerjee. The network helps show where Rebecca Banerjee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rebecca Banerjee, 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 | 2024 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 1 | |
| 9 | Cross-Sectional, Prospective, Evaluation of the Utility of Multi-Parametric MRI Imaging in Predicting Clinically Meaningful Outcomes in Autoimmune Hepatitis. | 2018 | 1 |
| 10 | 2018 | 1 | |
| 11 | 2017 | 27 | |
| 12 | 2012 | 138 | |
| 13 | 2011 | 47 | |
| 14 | 2009 | 95 | |
| 15 | 2009 | 73 | |
| 16 | 2008 | 286 | |
| 17 | 2008 | 197 | |
| 18 | 2007 | 12 | |
| 19 | 2007 | 337 | |
| 20 | 1969 | 35 |
About Rebecca Banerjee
Rebecca Banerjee is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (25 papers), Neurological disorders and treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Nerve injury and regeneration (5 papers), Alzheimer's disease research and treatments (4 papers), Nuclear Receptors and Signaling (4 papers) and Vagus Nerve Stimulation Research (3 papers). The work is most often cited by research in Neurology (934 citations), Neurology (1.6k citations) and Biological Psychiatry (127 citations). Rebecca Banerjee has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Bobby Thomas, Howard E. Gendelman, M. Flint Beal, R. Lee Mosley, Ashley D. Reynolds, M. Flint Beal, Carl Nathan, Aihao Ding, Anatoly A. Starkov and F Yin.
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.