Priscila Schmidt Lora
- Rheumatology top 10%
- Physiology
- Molecular Biology
- Hematology top 10%
- Epidemiology
- Co-authors
- Ricardo Machado XavierLidiane Isabel FilippinRafaela Cavalheiro do Espírito SantoKarin ViégasAna Paula AlegrettiPaulo Vinícius Gil AlabarseRodrigo da Rosa RighiBjoern M. Eskofier
- Topics
- Autoimmune and Inflammatory Disorders Research (7 papers)Systemic Lupus Erythematosus Research (6 papers)Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers)
- Cited by
- RheumatologyHematologyPhysiology
- Journals
- SHILAP Revista de lepidopterologíaAnnals of the Rheumatic DiseasesSensors
- Partner nations
- BrazilUnited StatesUruguay
In The Last Decade
Priscila Schmidt Lora
26 papers receiving 453 citations
Peers
Comparison fields: 5 of 108
- Rheumatology 119
- Physiology 79
- Molecular Biology 78
- Hematology 78
- Epidemiology 71
Countries citing papers authored by Priscila Schmidt Lora
This map shows the geographic impact of Priscila Schmidt Lora'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 Priscila Schmidt Lora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priscila Schmidt Lora more than expected).
Fields of papers citing papers by Priscila Schmidt Lora
This network shows the impact of papers produced by Priscila Schmidt Lora. 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 Priscila Schmidt Lora. The network helps show where Priscila Schmidt Lora may publish in the future.
Co-authorship network of co-authors of Priscila Schmidt Lora
This figure shows the co-authorship network connecting the top 25 collaborators of Priscila Schmidt Lora. A scholar is included among the top collaborators of Priscila Schmidt Lora 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 Priscila Schmidt Lora. Priscila Schmidt Lora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 69 | |
| 10 | 9 | |
| 11 | 89 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 25 | |
| 18 | 9 | |
| 19 | Clinical diagnostic performance of different methods for the detection of antibodies to extractable nuclear antigens in connective tissue diseases: a cohort study. | 1 |
| 20 | 28 |
About Priscila Schmidt Lora
Priscila Schmidt Lora is a scholar working on Health Informatics, Hematology and Rheumatology, having authored 29 papers that have together received 469 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (7 papers), Systemic Lupus Erythematosus Research (6 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers). The work is most often cited by research in Rheumatology (119 citations), Hematology (78 citations) and Physiology (79 citations). Priscila Schmidt Lora has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include Ricardo Machado Xavier, Lidiane Isabel Filippin, Rafaela Cavalheiro do Espírito Santo, Karin Viégas, Ana Paula Alegretti, Paulo Vinícius Gil Alabarse, Rodrigo da Rosa Righi, Bjoern M. Eskofier, Cristiano André da Costa and João Carlos Tavares Brenol. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Sensors.
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.