Sergio Palomo‐Ponce
- Oncology top 1%
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Eduard BatlleMar IglesiasAlexandre CalonDaniel ByromAntoni RiéraMarta SevillanoDaniele V. F. TaurielloXavier Hernando‐Momblona
- Topics
- TGF-β signaling in diseases (3 papers)Genetic factors in colorectal cancer (3 papers)Colorectal Cancer Treatments and Studies (2 papers)
- Cited by
- OncologyCancer ResearchImmunology
- Partner nations
- SpainUnited StatesQatar
In The Last Decade
Sergio Palomo‐Ponce
10 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Oncology 2.3k
- Molecular Biology 1.9k
- Immunology 854
- Cancer Research 850
- Pulmonary and Respiratory Medicine 534
Countries citing papers authored by Sergio Palomo‐Ponce
This map shows the geographic impact of Sergio Palomo‐Ponce'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 Sergio Palomo‐Ponce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Palomo‐Ponce more than expected).
Fields of papers citing papers by Sergio Palomo‐Ponce
This network shows the impact of papers produced by Sergio Palomo‐Ponce. 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 Sergio Palomo‐Ponce. The network helps show where Sergio Palomo‐Ponce may publish in the future.
Co-authorship network of co-authors of Sergio Palomo‐Ponce
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Palomo‐Ponce. A scholar is included among the top collaborators of Sergio Palomo‐Ponce 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 Sergio Palomo‐Ponce. Sergio Palomo‐Ponce 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 | 8 | |
| 3 | 11 | |
| 4 | TGFβ drives immune evasion in genetically reconstituted colon cancer metastasisbreakdown → | 1308 |
| 5 | Stromal gene expression defines poor-prognosis subtypes in colorectal cancerbreakdown → | 775 |
| 6 | Comparison of Beta Backscatter and X-ray Fluorescence Methods to Measure Coating Thickness | 1 |
| 7 | Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiationbreakdown → | 826 |
| 8 | 223 | |
| 9 | 20 | |
| 10 | Notch promotes epithelial-mesenchymal transition during cardiac development and oncogenic transformationbreakdown → | 760 |
About Sergio Palomo‐Ponce
Sergio Palomo‐Ponce is a scholar working on Orthodontics, Pathology and Forensic Medicine and Oncology, having authored 10 papers that have together received 3.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Genetic factors in colorectal cancer (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Oncology (2.3k citations), Cancer Research (850 citations) and Immunology (854 citations). Sergio Palomo‐Ponce has collaborated with scholars based in Spain, United States and Qatar. Frequent co-authors include Eduard Batlle, Mar Iglesias, Alexandre Calon, Daniel Byrom, Antoni Riéra, Marta Sevillano, Daniele V. F. Tauriello, Xavier Hernando‐Momblona, Antonio Berenguer and Camille Stephan‐Otto Attolini. Their work appears in journals such as Nature, Nature Genetics and Genes & Development.
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.