Sílvia Menéndez
- Molecular Biology top 2%
- Oncology top 2%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Hematology top 2%
- Co-authors
- Eva HernandoStephen D. NimerJoan AlbanellMiguel F. SeguraIman OsmanAna RoviraNikica ZaninovićPeter N. Schlegel
- Topics
- PI3K/AKT/mTOR signaling in cancer (9 papers)Lung Cancer Treatments and Mutations (7 papers)Acute Myeloid Leukemia Research (7 papers)
- Partner nations
- United StatesSpainCuba
In The Last Decade
Sílvia Menéndez
74 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.5k
- Oncology 1.2k
- Cancer Research 903
- Pulmonary and Respiratory Medicine 532
- Hematology 430
Countries citing papers authored by Sílvia Menéndez
This map shows the geographic impact of Sílvia Menéndez'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 Sílvia Menéndez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sílvia Menéndez more than expected).
Fields of papers citing papers by Sílvia Menéndez
This network shows the impact of papers produced by Sílvia Menéndez. 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 Sílvia Menéndez. The network helps show where Sílvia Menéndez may publish in the future.
Co-authorship network of co-authors of Sílvia Menéndez
This figure shows the co-authorship network connecting the top 25 collaborators of Sílvia Menéndez. A scholar is included among the top collaborators of Sílvia Menéndez 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 Sílvia Menéndez. Sílvia Menéndez 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 | 6 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 11 | |
| 6 | 27 | |
| 7 | 71 | |
| 8 | 42 | |
| 9 | Arqueociatos del Cámbrico inferior de la Sierra de Córdoba (SierraMorena, España): nuevo registro | 1 |
| 10 | 22 | |
| 11 | 107 | |
| 12 | 10 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | 219 | |
| 16 | 16 | |
| 17 | 451 | |
| 18 | 218 | |
| 19 | Péptido beta amiloide, proteína Tau y enfermedad de Alzheimer | 2 |
| 20 | Perfil hormonal de niños con discapacidad auditiva tratados con ozonoterapia | 0 |
About Sílvia Menéndez
Sílvia Menéndez is a scholar working on Cancer Research, Oncology and Hematology, having authored 76 papers that have together received 4.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Lung Cancer Treatments and Mutations (7 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Cancer Research (903 citations), Reproductive Medicine (389 citations) and Oncology (1.2k citations). Sílvia Menéndez has collaborated with scholars based in United States, Spain and Cuba. Frequent co-authors include Eva Hernando, Stephen D. Nimer, Joan Albanell, Miguel F. Segura, Iman Osman, Ana Rovira, Nikica Zaninović, Peter N. Schlegel, Lucinda L. Veeck and A DeBlasio. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of 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.