C. Giannesini
- Neurology top 5%
- Neurological Disease Mechanisms and Treatments 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Multiple Sclerosis Research Studies 3
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 2
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- Aortic Disease and Treatment Approaches 1
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Fibromyalgia and Chronic Fatigue Syndrome Research 2
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- Polyomavirus and related diseases 2
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- Medical Imaging Techniques and Applications 1
C. Giannesini
15 papers receiving 899 citations
Peers
Comparison fields: 5 of 66
- Neurology 374
- Pathology and Forensic Medicine 288
- Infectious Diseases 256
- Pulmonary and Respiratory Medicine 342
- Neurology 82
Countries citing papers authored by C. Giannesini
This map shows the geographic impact of C. Giannesini'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 C. Giannesini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Giannesini more than expected).
Fields of papers citing papers by C. Giannesini
This network shows the impact of papers produced by C. Giannesini. 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 C. Giannesini. The network helps show where C. Giannesini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Giannesini, 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 characteristics and outcomes in patients with coronavirus disease 2019 and multiple sclerosis | 2020 | 84 |
| 2 | 2020 | 6 | |
| 3 | 2020 | 287 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 4 | |
| 6 | 2015 | 42 | |
| 7 | 2013 | 21 | |
| 8 | 2012 | 28 | |
| 9 | 2012 | 5 | |
| 10 | 2010 | 1 | |
| 11 | 2009 | 25 | |
| 12 | 2008 | 14 | |
| 13 | 2003 | 6 | |
| 14 | 2002 | 354 | |
| 15 | 1999 | 31 |
About C. Giannesini
C. Giannesini is a scholar working on Neurology, Pathology and Forensic Medicine, Sensory Systems, Genetics and Psychiatry and Mental health, having authored 15 papers that have together received 927 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Polyomavirus and related diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Aortic Disease and Treatment Approaches (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Neurology (374 citations), Pathology and Forensic Medicine (288 citations), Infectious Diseases (256 citations), Pulmonary and Respiratory Medicine (342 citations) and Neurology (82 citations). C. Giannesini has collaborated with scholars based in France, Algeria and Australia. Frequent co-authors include Jean‐Louis Mas, Caroline Arquizan, Catherine Lamy, Jean-François Méder, D. Trystram, Joël Coste, Mathieu Zuber, Bruno Stankoff, Céline Louapre and Caroline Papeix. Their work appears in journals such as Multiple Sclerosis Journal, JAMA Neurology, Brain Behavior and Immunity, Neuroradiology and Stroke.
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.