Diana Carmona-Fernandes
- Rheumatology top 10%
- Immunology
- Molecular Biology
- Health, Toxicology and Mutagenesis top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- João Eurico FonsecaMaría José SantosHelena CanhãoM. V. San RomãoMaria Teresa Barreto CrespoMaria João BenolielVanessa J. PereiraGilda Carvalho
- Topics
- Systemic Lupus Erythematosus Research (7 papers)Rheumatoid Arthritis Research and Therapies (4 papers)Bone Metabolism and Diseases (4 papers)
- Partner nations
- PortugalUnited StatesParaguay
In The Last Decade
Diana Carmona-Fernandes
16 papers receiving 424 citations
Peers
Comparison fields: 5 of 75
- Rheumatology 161
- Immunology 120
- Molecular Biology 98
- Health, Toxicology and Mutagenesis 82
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by Diana Carmona-Fernandes
This map shows the geographic impact of Diana Carmona-Fernandes'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 Diana Carmona-Fernandes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Carmona-Fernandes more than expected).
Fields of papers citing papers by Diana Carmona-Fernandes
This network shows the impact of papers produced by Diana Carmona-Fernandes. 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 Diana Carmona-Fernandes. The network helps show where Diana Carmona-Fernandes may publish in the future.
Co-authorship network of co-authors of Diana Carmona-Fernandes
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Carmona-Fernandes. A scholar is included among the top collaborators of Diana Carmona-Fernandes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Carmona-Fernandes. Diana Carmona-Fernandes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Incidence and predictors of cardiovascular events in a cohort of patients with rheumatoid arthritis. | 4 |
| 4 | 27 | |
| 5 | 44 | |
| 6 | 1 | |
| 7 | 42 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 41 | |
| 11 | 22 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 86 | |
| 15 | 25 | |
| 16 | 103 |
About Diana Carmona-Fernandes
Diana Carmona-Fernandes is a scholar working on Rheumatology, Orthopedics and Sports Medicine and Immunology, having authored 16 papers that have together received 436 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Bone Metabolism and Diseases (4 papers). The work is most often cited by research in Rheumatology (161 citations), Health, Toxicology and Mutagenesis (82 citations) and Immunology (120 citations). Diana Carmona-Fernandes has collaborated with scholars based in Portugal, United States and Paraguay. Frequent co-authors include João Eurico Fonseca, María José Santos, Helena Canhão, M. V. San Romão, Maria Teresa Barreto Crespo, Maria João Benoliel, Vanessa J. Pereira, Gilda Carvalho, João Paiva and Inês P. Perpétuo. Their work appears in journals such as PLoS ONE, Water Research and Annals of the Rheumatic Diseases.
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.