Rosie Everett
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
- Peripheral Neuropathies and Disorders
- Autoimmune Neurological Disorders and Treatments
Papers in
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- Multiple Sclerosis Research Studies 5
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- Otitis Media and Relapsing Polychondritis 1
- Co-authors
- Jacqueline Palace (6 shared papers)Silvia Messina (3 shared papers)Maria Isabel Leite (4 shared papers)George Tackley (3 shared papers)Saleel Chandratre (2 shared papers)Shahd Hamid (1 shared paper)Naheed Raza (2 shared papers)Anu Jacob (1 shared paper)
- Journals
- Multiple Sclerosis and Related Disorders (2 papers)Brain (2 papers)NeuroImage (1 paper)Veterinary Pathology (1 paper)Proceedings of the Royal Irish Academy Archaeology Culture History Literature (1 paper)
- Partner nations
- United KingdomUnited StatesThailand
In The Last Decade
Rosie Everett
9 papers receiving 628 citations
Rosie Everett's Hit Papers
Peers
Comparison fields: 5 of 49
- Pathology and Forensic Medicine 476
- Neurology 283
- Rheumatology 107
- Developmental Neuroscience 20
- Ophthalmology 37
Countries citing papers authored by Rosie Everett
This map shows the geographic impact of Rosie Everett'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 Rosie Everett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosie Everett more than expected).
Fields of papers citing papers by Rosie Everett
This network shows the impact of papers produced by Rosie Everett. 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 Rosie Everett. The network helps show where Rosie Everett may publish in the future.
Co-authors
The 25 scholars most cited alongside Rosie Everett, 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 | Clinical presentation and prognosis in MOG-antibody disease: a UK study Hit paper breakdown → | 2017 | 513 |
| 2 | 2020 | 51 | |
| 3 | 1999 | 26 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 3 | |
| 9 | Clinical presentation and prognosis in MOG-antibody disease: a UK study (vol 140, pg 12, 2017) | 2018 | 2 |
About Rosie Everett
Rosie Everett is a scholar working on Pathology and Forensic Medicine, Rheumatology, Paleontology, Neurology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 642 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Ultrasound and Hyperthermia Applications (1 paper), Viral Infections and Immunology Research (1 paper), Cardiovascular Effects of Exercise (1 paper), Geology and Paleoclimatology Research (1 paper), Geological formations and processes (1 paper), Otitis Media and Relapsing Polychondritis (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (476 citations), Neurology (283 citations), Rheumatology (107 citations), Developmental Neuroscience (20 citations) and Ophthalmology (37 citations). Rosie Everett has collaborated with scholars based in United Kingdom, United States and Thailand. Frequent co-authors include Jacqueline Palace, Silvia Messina, Maria Isabel Leite, George Tackley, Saleel Chandratre, Shahd Hamid, Naheed Raza, Anu Jacob, Mark Woodhall and Adriana Roca‐Fernández. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Brain, NeuroImage, Veterinary Pathology and Proceedings of the Royal Irish Academy Archaeology Culture History Literature.
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.