Maria Faria
- Nephrology top 2%
- Hematology top 5%
- Pulmonary and Respiratory Medicine
- Surgery
- Genetics top 10%
- Co-authors
- Alice Santos‐SilvaVasco MirandaLuı́s BeloElı́sio CostaPetronila Rocha‐PereiraAlexandre QuintanilhaSusana RochaAlfredo Loureiro
- Topics
- Dialysis and Renal Disease Management (19 papers)Erythropoietin and Anemia Treatment (15 papers)Renal Diseases and Glomerulopathies (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismBioMed Research International
- Partner nations
- PortugalUnited KingdomUnited States
In The Last Decade
Maria Faria
73 papers receiving 829 citations
Peers
Comparison fields: 5 of 101
- Nephrology 303
- Hematology 201
- Pulmonary and Respiratory Medicine 118
- Surgery 116
- Genetics 102
Countries citing papers authored by Maria Faria
This map shows the geographic impact of Maria Faria'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 Maria Faria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Faria more than expected).
Fields of papers citing papers by Maria Faria
This network shows the impact of papers produced by Maria Faria. 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 Maria Faria. The network helps show where Maria Faria may publish in the future.
Co-authorship network of co-authors of Maria Faria
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Faria. A scholar is included among the top collaborators of Maria Faria 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 Maria Faria. Maria Faria 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 45 | |
| 11 | Nephrogenic diabetes insipidus associated with tenofovir administration: report of a paediatric case | 1 |
| 12 | Atypical haemolytic-uraemic syndrome caused by factor H mutation: case report and new management strategies in children | 2 |
| 13 | 28 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 29 | |
| 18 | 67 | |
| 19 | 44 | |
| 20 | 38 |
About Maria Faria
Maria Faria is a scholar working on Nephrology, Transplantation and Hematology, having authored 80 papers that have together received 852 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (19 papers), Erythropoietin and Anemia Treatment (15 papers) and Renal Diseases and Glomerulopathies (11 papers). The work is most often cited by research in Nephrology (303 citations), Hematology (201 citations) and Behavioral Neuroscience (64 citations). Maria Faria has collaborated with scholars based in Portugal, United Kingdom and United States. Frequent co-authors include Alice Santos‐Silva, Vasco Miranda, Luı́s Belo, Elı́sio Costa, Petronila Rocha‐Pereira, Alexandre Quintanilha, Susana Rocha, Alfredo Loureiro, Flávio Reis and Elisabeth Castro. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and BioMed Research International.
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.