Margarida M. Moura
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology
- Genetics
- Molecular Biology
- Pathology and Forensic Medicine
- Co-authors
- Valeriano LeiteBranca CavacoAntónio E. PintoMaria João BugalhoRita DominguesJaime Miguel Gomes PitaInes FigueiredoRafael Cabrera
- Topics
- Thyroid Cancer Diagnosis and Treatment (15 papers)Cancer-related Molecular Pathways (4 papers)BRCA gene mutations in cancer (3 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular Sciences
- Partner nations
- PortugalBrazilUnited Kingdom
In The Last Decade
Margarida M. Moura
17 papers receiving 580 citations
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 462
- Oncology 215
- Genetics 171
- Molecular Biology 165
- Pathology and Forensic Medicine 100
Countries citing papers authored by Margarida M. Moura
This map shows the geographic impact of Margarida M. Moura'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 Margarida M. Moura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margarida M. Moura more than expected).
Fields of papers citing papers by Margarida M. Moura
This network shows the impact of papers produced by Margarida M. Moura. 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 Margarida M. Moura. The network helps show where Margarida M. Moura may publish in the future.
Co-authorship network of co-authors of Margarida M. Moura
This figure shows the co-authorship network connecting the top 25 collaborators of Margarida M. Moura. A scholar is included among the top collaborators of Margarida M. Moura 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 Margarida M. Moura. Margarida M. Moura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 83 | |
| 13 | 7 | |
| 14 | 76 | |
| 15 | 178 | |
| 16 | 134 | |
| 17 | 13 |
About Margarida M. Moura
Margarida M. Moura is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Reproductive Medicine, having authored 17 papers that have together received 593 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Cancer-related Molecular Pathways (4 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (462 citations), Oncology (215 citations) and Genetics (171 citations). Margarida M. Moura has collaborated with scholars based in Portugal, Brazil and United Kingdom. Frequent co-authors include Valeriano Leite, Branca Cavaco, António E. Pinto, Maria João Bugalho, Rita Domingues, Jaime Miguel Gomes Pita, Ines Figueiredo, Rafael Cabrera, Joana Simões‐Pereira and Marta Pojo. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular Sciences.
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.