Clara Di Mario
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies 12
- Spondyloarthritis Studies and Treatments 6
- Systemic Lupus Erythematosus Research 5
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- Reproductive System and Pregnancy 3
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- Systemic Sclerosis and Related Diseases 8
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- Autoimmune and Inflammatory Disorders Research 3
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- Monoclonal and Polyclonal Antibodies Research 4
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
- Co-authors
- Elisa GremeseBarbara TolussoGianfranco FerraccioliStefano AliverniniLuca PetriccaMaria Rita GiganteAnna Laura FedeleRoberta Benvenuto
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Clara Di Mario
38 papers receiving 471 citations
Peers
Comparison fields: 5 of 67
- Rheumatology 190
- Immunology 141
- Pathology and Forensic Medicine 86
- Hematology 47
- Cancer Research 59
Countries citing papers authored by Clara Di Mario
This map shows the geographic impact of Clara Di Mario'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 Clara Di Mario with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Di Mario more than expected).
Fields of papers citing papers by Clara Di Mario
This network shows the impact of papers produced by Clara Di Mario. 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 Clara Di Mario. The network helps show where Clara Di Mario may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clara Di Mario, 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 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 35 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 23 | |
| 19 | 2018 | 44 | |
| 20 | 2015 | 21 |
About Clara Di Mario
Clara Di Mario is a scholar working on Rheumatology, Biological Psychiatry and Immunology, having authored 39 papers that have together received 473 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (12 papers), Systemic Sclerosis and Related Diseases (8 papers), Spondyloarthritis Studies and Treatments (6 papers), Systemic Lupus Erythematosus Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Rheumatology (190 citations), Immunology (141 citations) and Pathology and Forensic Medicine (86 citations). Clara Di Mario has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Elisa Gremese, Barbara Tolusso, Gianfranco Ferraccioli, Stefano Alivernini, Luca Petricca, Maria Rita Gigante, Anna Laura Fedele, Roberta Benvenuto, Silvia Laura Bosello and G. Canestrari. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.