Christina Azevedo
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- Multiple Sclerosis Research Studies 23
- Neurology top 5%
- Peripheral Neuropathies and Disorders 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Developmental Neuroscience top 5%
- Rheumatology top 5%
- Neurology top 10%
- Peripheral Neuropathies and Disorders 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Advanced Neuroimaging Techniques and Applications 5
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- Fibromyalgia and Chronic Fatigue Syndrome Research 4
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- RNA regulation and disease 2
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- Cerebrospinal fluid and hydrocephalus 2
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- Ultrasound and Hyperthermia Applications 2
- Co-authors
- Daniel PelletierDarin T. OkudaStephen L. HauserOrhun H. KantarciChristine Lebrun‐FrénayAksel SıvaShuang LiuSteven Cen
- Partner nations
- United StatesFranceTürkiye
In The Last Decade
Christina Azevedo
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Pathology and Forensic Medicine 920
- Neurology 432
- Developmental Neuroscience 75
- Rheumatology 218
- Neurology 116
Countries citing papers authored by Christina Azevedo
This map shows the geographic impact of Christina Azevedo'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 Christina Azevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Azevedo more than expected).
Fields of papers citing papers by Christina Azevedo
This network shows the impact of papers produced by Christina Azevedo. 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 Christina Azevedo. The network helps show where Christina Azevedo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christina Azevedo, 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 | 5 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 21 | |
| 9 | 2020 | 135 | |
| 10 | 2019 | 23 | |
| 11 | 2017 | 7 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 27 | |
| 14 | 2016 | 13 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 173 | |
| 17 | 2014 | 52 | |
| 18 | 2014 | 17 | |
| 19 | 2014 | 0 | |
| 20 | 2012 | 11 |
About Christina Azevedo
Christina Azevedo is a scholar working on Pathology and Forensic Medicine, Neurology and Biological Psychiatry, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (23 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Peripheral Neuropathies and Disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA regulation and disease (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (920 citations), Neurology (432 citations) and Developmental Neuroscience (75 citations). Christina Azevedo has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include Daniel Pelletier, Darin T. Okuda, Stephen L. Hauser, Orhun H. Kantarci, Christine Lebrun‐Frénay, Aksel Sıva, Shuang Liu, Steven Cen, Ling Zheng and Daniel Pelletier. Their work appears in journals such as Neurology, Annals of Neurology and Scientific Reports.
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.