Jean Sibilia
- Rheumatology top 0.05%
- Rheumatoid Arthritis Research and Therapies 126
- Systemic Lupus Erythematosus Research 106
- Hematology top 0.2%
- Autoimmune and Inflammatory Disorders Research 55
- Pathology and Forensic Medicine top 0.1%
- Systemic Sclerosis and Related Diseases 53
- Lymphoma Diagnosis and Treatment 40
- Immunology top 0.5%
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 41
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- Monoclonal and Polyclonal Antibodies Research 39
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- Inflammatory Myopathies and Dermatomyositis 38
- Co-authors
- Jacques‐Eric GottenbergBernard CombeChristelle SordetXavier MarietteÉ. HachullaBruno FautrelMaxime DougadosXavier Le Loët
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Jean Sibilia
428 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Rheumatology 6.8k
- Hematology 2.7k
- Pathology and Forensic Medicine 3.5k
- Immunology 4.1k
- Genetics 1.4k
Countries citing papers authored by Jean Sibilia
This map shows the geographic impact of Jean Sibilia'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 Jean Sibilia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Sibilia more than expected).
Fields of papers citing papers by Jean Sibilia
This network shows the impact of papers produced by Jean Sibilia. 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 Jean Sibilia. The network helps show where Jean Sibilia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean Sibilia, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2020 | 156 | |
| 7 | 2019 | 93 | |
| 8 | 2018 | 1 | |
| 9 | Which patients with rheumatoid arthritis, spondyloarthritis, or juvenile idiopathic arthritis receive TNF-α antagonists in France? The CORPUS cohort study. | 2015 | 5 |
| 10 | 2015 | 37 | |
| 11 | 2009 | 51 | |
| 12 | 2009 | 5 | |
| 13 | 2009 | 2 | |
| 14 | 2009 | 119 | |
| 15 | Polymorphic markers of the fibrillin-1 gene and systemic sclerosis in European Caucasian patients. | 2008 | 13 |
| 16 | 2008 | 33 | |
| 17 | 2006 | 446 | |
| 18 | 2006 | 7 | |
| 19 | 2000 | 95 | |
| 20 | Ro(SS-A) and anti-Ro(SS-A): an update. | 1998 | 17 |
About Jean Sibilia
Jean Sibilia is a scholar working on Rheumatology, Pathology and Forensic Medicine and Hematology, having authored 460 papers that have together received 16.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (126 papers), Systemic Lupus Erythematosus Research (106 papers), Autoimmune and Inflammatory Disorders Research (55 papers), Systemic Sclerosis and Related Diseases (53 papers), Chronic Lymphocytic Leukemia Research (41 papers), Lymphoma Diagnosis and Treatment (40 papers), Monoclonal and Polyclonal Antibodies Research (39 papers) and Inflammatory Myopathies and Dermatomyositis (38 papers). The work is most often cited by research in Rheumatology (6.8k citations), Hematology (2.7k citations) and Pathology and Forensic Medicine (3.5k citations). Jean Sibilia has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jacques‐Eric Gottenberg, Bernard Combe, Christelle Sordet, Xavier Mariette, É. Hachulla, Bruno Fautrel, Maxime Dougados, Xavier Le Loët, Dominique Wachsmann and Emmanuel Chatelus.
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.