M Mosca
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
- Rheumatology 12
- Systemic Lupus Erythematosus Research 11
- Spondyloarthritis Studies and Treatments 2
- Rheumatoid Arthritis Research and Therapies 2
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- Systemic Sclerosis and Related Diseases 4
- Autoimmune Bullous Skin Diseases 2
- Co-authors
- S Bombardieri (4 shared papers)Chiara Tani (6 shared papers)Laura Palagini (3 shared papers)Angelo Gemignani (3 shared papers)M. Mauri (3 shared papers)Stefano Bombardieri (8 shared papers)Linda Carli (5 shared papers)Chiara Baldini (3 shared papers)
In The Last Decade
M Mosca
12 papers receiving 423 citations
Peers
Comparison fields: 5 of 47
- Rheumatology 280
- Biological Psychiatry 14
- Pathology and Forensic Medicine 68
- Behavioral Neuroscience 14
- Immunology 59
Countries citing papers authored by M Mosca
This map shows the geographic impact of M Mosca'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 M Mosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Mosca more than expected).
Fields of papers citing papers by M Mosca
This network shows the impact of papers produced by M Mosca. 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 M Mosca. The network helps show where M Mosca may publish in the future.
Co-authors
The 25 scholars most cited alongside M Mosca, 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 | 2013 | 142 | |
| 2 | 2012 | 67 | |
| 3 | 2014 | 66 | |
| 4 | 2014 | 37 | |
| 5 | 2002 | 30 | |
| 6 | 2013 | 30 | |
| 7 | Undifferentiated connective tissue diseases in 2004. | 2004 | 26 |
| 8 | Disease-specific quality indicators, guidelines, and outcome measures in systemic lupus erythematosus (SLE). | 2008 | 21 |
| 9 | Treatment of the idiopathic inflammatory myopathies: a retrospective analysis of 63 Caucasian patients longitudinally followed at a single center. | 2000 | 7 |
| 10 | 2024 | 2 | |
| 11 | ARTHRITIS IN SYSTEMIC LUPUS ERYTHEMATOSUS: AN IMAGING POINT OF VIEW | 2011 | 1 |
| 12 | 2011 | 1 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2018 | 0 | |
| 16 | 2025 | 0 |
About M Mosca
M Mosca is a scholar working on Rheumatology, Pathology and Forensic Medicine, Neurology, Epidemiology and Hematology, having authored 16 papers that have together received 430 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Systemic Sclerosis and Related Diseases (4 papers), Spondyloarthritis Studies and Treatments (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Peripheral Neuropathies and Disorders (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Rheumatology (280 citations), Biological Psychiatry (14 citations), Pathology and Forensic Medicine (68 citations), Behavioral Neuroscience (14 citations) and Immunology (59 citations). M Mosca has collaborated with scholars based in Italy, Germany and Portugal. Frequent co-authors include S Bombardieri, Chiara Tani, Laura Palagini, Angelo Gemignani, M. Mauri, Stefano Bombardieri, Linda Carli, Chiara Baldini, S. Vagnani and R Neri. Their work appears in journals such as Lupus, Annals of the Rheumatic Diseases, Journal of Personalized Medicine, Clinical Rheumatology and Autoimmunity Reviews.
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.