Marı́a Yáñez-Mó
- Molecular Biology top 2%
- Immunology and Allergy top 0.1%
- Immunology top 1%
- Cancer Research top 1%
- Cell Biology top 1%
- Co-authors
- Francisco Sánchez‐MadridOlga BarreiroSoraya López‐MartínMónica Sala-ValdésMiguel Vicente‐ManzanaresReyes TejedorMónica Gordón‐AlonsoCarlos Cabañas
- Topics
- Cell Adhesion Molecules Research (60 papers)Extracellular vesicles in disease (30 papers)Platelet Disorders and Treatments (17 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Marı́a Yáñez-Mó
103 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.8k
- Immunology and Allergy 2.4k
- Immunology 2.3k
- Cancer Research 1.5k
- Cell Biology 1.1k
Countries citing papers authored by Marı́a Yáñez-Mó
This map shows the geographic impact of Marı́a Yáñez-Mó'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 Marı́a Yáñez-Mó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marı́a Yáñez-Mó more than expected).
Fields of papers citing papers by Marı́a Yáñez-Mó
This network shows the impact of papers produced by Marı́a Yáñez-Mó. 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 Marı́a Yáñez-Mó. The network helps show where Marı́a Yáñez-Mó may publish in the future.
Co-authorship network of co-authors of Marı́a Yáñez-Mó
This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a Yáñez-Mó. A scholar is included among the top collaborators of Marı́a Yáñez-Mó 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 Marı́a Yáñez-Mó. Marı́a Yáñez-Mó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 12 | |
| 4 | 25 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 24 | |
| 8 | 29 | |
| 9 | 19 | |
| 10 | 21 | |
| 11 | 56 | |
| 12 | 28 | |
| 13 | 55 | |
| 14 | 131 | |
| 15 | 111 | |
| 16 | 64 | |
| 17 | Peritoneal Dialysis and Epithelial-to-Mesenchymal Transition of Mesothelial Cellsbreakdown → | 640 |
| 18 | 148 | |
| 19 | 53 | |
| 20 | 35 |
About Marı́a Yáñez-Mó
Marı́a Yáñez-Mó is a scholar working on Immunology and Allergy, Hematology and Immunology, having authored 105 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (60 papers), Extracellular vesicles in disease (30 papers) and Platelet Disorders and Treatments (17 papers). The work is most often cited by research in Immunology and Allergy (2.4k citations), Immunology (2.3k citations) and Cancer Research (1.5k citations). Marı́a Yáñez-Mó has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Francisco Sánchez‐Madrid, Olga Barreiro, Soraya López‐Martín, Mónica Sala-Valdés, Miguel Vicente‐Manzanares, Reyes Tejedor, Mónica Gordón‐Alonso, Carlos Cabañas, Ángeles Ursa and Juan Manuel Serrador. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.