Mónica Álvarez‐Fernández
- Molecular Biology top 5%
- Cell Biology top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Co-authors
- Marcos MalumbresRené H. MedemaSusana de la LunaXavier EstivillMarie StåhlJamila LaoukiliAniek JanssenLibor Macůrek
- Topics
- Microtubule and mitosis dynamics (10 papers)Ubiquitin and proteasome pathways (6 papers)DNA Repair Mechanisms (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- SpainNetherlandsUnited Kingdom
In The Last Decade
Mónica Álvarez‐Fernández
28 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.4k
- Cell Biology 537
- Oncology 529
- Pulmonary and Respiratory Medicine 288
- Cancer Research 282
Countries citing papers authored by Mónica Álvarez‐Fernández
This map shows the geographic impact of Mónica Álvarez‐Fernández'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 Mónica Álvarez‐Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Álvarez‐Fernández more than expected).
Fields of papers citing papers by Mónica Álvarez‐Fernández
This network shows the impact of papers produced by Mónica Álvarez‐Fernández. 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 Mónica Álvarez‐Fernández. The network helps show where Mónica Álvarez‐Fernández may publish in the future.
Co-authorship network of co-authors of Mónica Álvarez‐Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Álvarez‐Fernández. A scholar is included among the top collaborators of Mónica Álvarez‐Fernández 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 Mónica Álvarez‐Fernández. Mónica Álvarez‐Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 116 | |
| 7 | Mechanisms of Sensitivity and Resistance to CDK4/6 Inhibitionbreakdown → | 239 |
| 8 | 50 | |
| 9 | 73 | |
| 10 | 49 | |
| 11 | 68 | |
| 12 | 53 | |
| 13 | 28 | |
| 14 | 3 | |
| 15 | 69 | |
| 16 | 217 | |
| 17 | 83 | |
| 18 | 58 | |
| 19 | 63 | |
| 20 | Human cystatins - similarities, diversity and classification | 2 |
About Mónica Álvarez‐Fernández
Mónica Álvarez‐Fernández is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Ubiquitin and proteasome pathways (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Cell Biology (537 citations), Molecular Biology (1.4k citations) and Oncology (529 citations). Mónica Álvarez‐Fernández has collaborated with scholars based in Spain, Netherlands and United Kingdom. Frequent co-authors include Marcos Malumbres, René H. Medema, Susana de la Luna, Xavier Estivill, Marie Ståhl, Jamila Laoukili, Aniek Janssen, Libor Macůrek, Marvin E. Tanenbaum and Shabaz Mohammed. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.