Áurea Mira
- Molecular Biology
- Epidemiology
- Clinical Biochemistry top 5%
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Núria BrandiCristina SierraEduard CabréMaría DoladéWladimiro JiménezRafael ArtuchDolores MoyanoLaura Sampietro-Colom
- Topics
- Clinical Laboratory Practices and Quality Control (4 papers)Quality and Safety in Healthcare (3 papers)Liver Disease and Transplantation (3 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Áurea Mira
30 papers receiving 553 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 157
- Epidemiology 126
- Clinical Biochemistry 91
- Genetics 72
- Public Health, Environmental and Occupational Health 71
Countries citing papers authored by Áurea Mira
This map shows the geographic impact of Áurea Mira'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 Áurea Mira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Áurea Mira more than expected).
Fields of papers citing papers by Áurea Mira
This network shows the impact of papers produced by Áurea Mira. 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 Áurea Mira. The network helps show where Áurea Mira may publish in the future.
Co-authorship network of co-authors of Áurea Mira
This figure shows the co-authorship network connecting the top 25 collaborators of Áurea Mira. A scholar is included among the top collaborators of Áurea Mira 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 Áurea Mira. Áurea Mira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 16 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 39 | |
| 9 | 19 | |
| 10 | 39 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 22 | |
| 14 | 58 | |
| 15 | Pre-analytical workflow analysis reveals simple changes and can result in improved hospital efficiency. | 2 |
| 16 | Workflow analysis an international tool: cost reduction while retaining personnel. | 1 |
| 17 | 26 | |
| 18 | Antioxidant enzymes and fatty acid status in erythrocytes of Down's syndrome patients. | 60 |
| 19 | 56 | |
| 20 | Diagnóstico de la tuberculosis en niños. Evaluación de la técnica de reacción en cadena de la polimerasa | 2 |
About Áurea Mira
Áurea Mira is a scholar working on Medical Laboratory Technology, Clinical Biochemistry and Hepatology, having authored 31 papers that have together received 571 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (4 papers), Quality and Safety in Healthcare (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Clinical Biochemistry (91 citations), Hepatology (56 citations) and Physiology (19 citations). Áurea Mira has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Núria Brandi, Cristina Sierra, Eduard Cabré, María Doladé, Wladimiro Jiménez, Rafael Artuch, Dolores Moyano, Laura Sampietro-Colom, Adela Saco and Marcelo Soto. Their work appears in journals such as PLoS ONE, International Journal of Cancer and Clinical Chemistry.
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.