Fátima Valdés‐Mora
- Molecular Biology top 10%
- Oncology top 10%
- Immunology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- David Gallego‐OrtegaAndrew M. K. LawSusan J. ClarkJuan Carlos LacalClare StirzakerAaron L. StathamTeresa Gómez del PulgarShalima S. Nair
- Topics
- Epigenetics and DNA Methylation (9 papers)Genomics and Chromatin Dynamics (7 papers)Single-cell and spatial transcriptomics (6 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- AustraliaSpainUnited States
In The Last Decade
Fátima Valdés‐Mora
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 975
- Oncology 415
- Immunology 334
- Cancer Research 277
- Pulmonary and Respiratory Medicine 128
Countries citing papers authored by Fátima Valdés‐Mora
This map shows the geographic impact of Fátima Valdés‐Mora'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 Fátima Valdés‐Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fátima Valdés‐Mora more than expected).
Fields of papers citing papers by Fátima Valdés‐Mora
This network shows the impact of papers produced by Fátima Valdés‐Mora. 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 Fátima Valdés‐Mora. The network helps show where Fátima Valdés‐Mora may publish in the future.
Co-authorship network of co-authors of Fátima Valdés‐Mora
This figure shows the co-authorship network connecting the top 25 collaborators of Fátima Valdés‐Mora. A scholar is included among the top collaborators of Fátima Valdés‐Mora 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 Fátima Valdés‐Mora. Fátima Valdés‐Mora 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 | 6 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 61 | |
| 7 | 36 | |
| 8 | Myeloid-Derived Suppressor Cells as a Therapeutic Target for Cancerbreakdown → | 346 |
| 9 | 64 | |
| 10 | 96 | |
| 11 | 18 | |
| 12 | 43 | |
| 13 | 64 | |
| 14 | 56 | |
| 15 | 38 | |
| 16 | 39 | |
| 17 | 141 | |
| 18 | 52 | |
| 19 | 86 | |
| 20 | 26 |
About Fátima Valdés‐Mora
Fátima Valdés‐Mora is a scholar working on Structural Biology, Molecular Biology and Oncology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (7 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Cancer Research (277 citations), Immunology (334 citations) and Oncology (415 citations). Fátima Valdés‐Mora has collaborated with scholars based in Australia, Spain and United States. Frequent co-authors include David Gallego‐Ortega, Andrew M. K. Law, Susan J. Clark, Juan Carlos Lacal, Clare Stirzaker, Aaron L. Statham, Teresa Gómez del Pulgar, Shalima S. Nair, Jenny Z. Song and Yolanda Colino‐Sanguino. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and PLoS ONE.
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.