Marta Sevillano
- Oncology top 0.5%
- Molecular Biology top 5%
- Cancer Research top 2%
- Immunology top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Eduard BatlleMar IglesiasXavier Hernando‐MomblonaAlexandre CalonDaniel ByromAntoni RiéraDaniele V. F. TaurielloSergio Palomo‐Ponce
- Topics
- Cancer Cells and Metastasis (10 papers)Pancreatic and Hepatic Oncology Research (3 papers)TGF-β signaling in diseases (3 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Marta Sevillano
14 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Oncology 2.9k
- Molecular Biology 1.9k
- Cancer Research 1.0k
- Immunology 940
- Pathology and Forensic Medicine 540
Countries citing papers authored by Marta Sevillano
This map shows the geographic impact of Marta Sevillano'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 Marta Sevillano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Sevillano more than expected).
Fields of papers citing papers by Marta Sevillano
This network shows the impact of papers produced by Marta Sevillano. 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 Marta Sevillano. The network helps show where Marta Sevillano may publish in the future.
Co-authorship network of co-authors of Marta Sevillano
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Sevillano. A scholar is included among the top collaborators of Marta Sevillano 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 Marta Sevillano. Marta Sevillano 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 | 30 | |
| 3 | 24 | |
| 4 | 57 | |
| 5 | 49 | |
| 6 | TGFβ drives immune evasion in genetically reconstituted colon cancer metastasisbreakdown → | 1308 |
| 7 | 132 | |
| 8 | 89 | |
| 9 | Stromal gene expression defines poor-prognosis subtypes in colorectal cancerbreakdown → | 775 |
| 10 | 47 | |
| 11 | 102 | |
| 12 | Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiationbreakdown → | 826 |
| 13 | 129 | |
| 14 | The Intestinal Stem Cell Signature Identifies Colorectal Cancer Stem Cells and Predicts Disease Relapsebreakdown → | 688 |
About Marta Sevillano
Marta Sevillano is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 14 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Pancreatic and Hepatic Oncology Research (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Oncology (2.9k citations), Cancer Research (1.0k citations) and Immunology (940 citations). Marta Sevillano has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Eduard Batlle, Mar Iglesias, Xavier Hernando‐Momblona, Alexandre Calon, Daniel Byrom, Antoni Riéra, Daniele V. F. Tauriello, Sergio Palomo‐Ponce, Elena Sancho and David Rossell. Their work appears in journals such as Nature, Nature Genetics and Nature Cell Biology.
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.