María Daca-Álvarez
- Endocrinology, Diabetes and Metabolism top 5%
- Family Practice top 1%
- Epidemiology
- Oncology
- Molecular Biology
- Co-authors
- Luis‐Emilio García‐PérezVicente Gil-GuillénDomingo Orozco‐BeltránTatiana DillaFrancesc BalaguerLaura ValleMariona TerradasPilar Mur
- Topics
- Genetic factors in colorectal cancer (8 papers)Colorectal Cancer Screening and Detection (7 papers)Gastric Cancer Management and Outcomes (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe American Journal of GastroenterologyGastrointestinal Endoscopy
- Partner nations
- SpainItalyUnited Kingdom
In The Last Decade
María Daca-Álvarez
15 papers receiving 611 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 380
- Family Practice 187
- Epidemiology 92
- Oncology 79
- Molecular Biology 73
Countries citing papers authored by María Daca-Álvarez
This map shows the geographic impact of María Daca-Álvarez'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 María Daca-Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Daca-Álvarez more than expected).
Fields of papers citing papers by María Daca-Álvarez
This network shows the impact of papers produced by María Daca-Álvarez. 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 María Daca-Álvarez. The network helps show where María Daca-Álvarez may publish in the future.
Co-authorship network of co-authors of María Daca-Álvarez
This figure shows the co-authorship network connecting the top 25 collaborators of María Daca-Álvarez. A scholar is included among the top collaborators of María Daca-Álvarez 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 María Daca-Álvarez. María Daca-Álvarez 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 56 | |
| 17 | Adherence to Therapies in Patients with Type 2 Diabetesbreakdown → | 546 |
| 18 | 1 |
About María Daca-Álvarez
María Daca-Álvarez is a scholar working on Pathology and Forensic Medicine, Family Practice and Oncology, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (8 papers), Colorectal Cancer Screening and Detection (7 papers) and Gastric Cancer Management and Outcomes (7 papers). The work is most often cited by research in Family Practice (187 citations), Endocrinology, Diabetes and Metabolism (380 citations) and Geriatrics and Gerontology (56 citations). María Daca-Álvarez has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Luis‐Emilio García‐Pérez, Vicente Gil-Guillén, Domingo Orozco‐Beltrán, Tatiana Dilla, Francesc Balaguer, Laura Valle, Mariona Terradas, Pilar Mur, María Pellisé and Oswaldo Ortíz. Their work appears in journals such as SHILAP Revista de lepidopterología, The American Journal of Gastroenterology and Gastrointestinal Endoscopy.
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.