Fiona Tea
Impact in
- Neurology top 10%
- Peripheral Neuropathies and Disorders
- Autoimmune Neurological Disorders and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Long-Term Effects of COVID-19
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- Multiple Sclerosis Research Studies
Papers in
-
- Peripheral Neuropathies and Disorders 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Autoimmune Neurological Disorders and Treatments 3
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- Multiple Sclerosis Research Studies 5
- Co-authors
- Fabienne Brilot (7 shared papers)Russell C. Dale (7 shared papers)Deepti Pilli (5 shared papers)Sudarshini Ramanathan (5 shared papers)Tina Nguyen (2 shared papers)Nese Sinmaz (2 shared papers)Sushil Bandodkar (1 shared paper)Kristina Prelog (1 shared paper)
In The Last Decade
Fiona Tea
12 papers receiving 240 citations
Peers
Comparison fields: 5 of 64
- Neurology 124
- Neurology 42
- Pathology and Forensic Medicine 80
- Biological Psychiatry 10
- Developmental Neuroscience 13
Countries citing papers authored by Fiona Tea
This map shows the geographic impact of Fiona Tea'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 Fiona Tea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona Tea more than expected).
Fields of papers citing papers by Fiona Tea
This network shows the impact of papers produced by Fiona Tea. 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 Fiona Tea. The network helps show where Fiona Tea may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona Tea, 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 | 2016 | 69 | |
| 2 | 2017 | 59 | |
| 3 | 2016 | 35 | |
| 4 | 2016 | 20 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 2 |
About Fiona Tea
Fiona Tea is a scholar working on Neurology, Pathology and Forensic Medicine, Molecular Biology, Neurology and Immunology, having authored 12 papers that have together received 242 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Peripheral Neuropathies and Disorders (4 papers), Single-cell and spatial transcriptomics (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Systemic Lupus Erythematosus Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Neurology (124 citations), Neurology (42 citations), Pathology and Forensic Medicine (80 citations), Biological Psychiatry (10 citations) and Developmental Neuroscience (13 citations). Fiona Tea has collaborated with scholars based in Australia, Canada and India. Frequent co-authors include Fabienne Brilot, Russell C. Dale, Deepti Pilli, Sudarshini Ramanathan, Tina Nguyen, Nese Sinmaz, Sushil Bandodkar, Kristina Prelog, John Earl and Kavitha Kothur. Their work appears in journals such as Frontiers in Immunology, Neurology Neuroimmunology & Neuroinflammation, Acta Neuropathologica Communications, npj Digital Medicine and Acta Neuropathologica.
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.