Sergio Palomo‐Ponce

5.4k total citations · 4 hit papers
10 papers, 3.9k citations indexed

About

Sergio Palomo‐Ponce is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Sergio Palomo‐Ponce has authored 10 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Sergio Palomo‐Ponce's work include TGF-β signaling in diseases (3 papers), Genetic factors in colorectal cancer (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Sergio Palomo‐Ponce is often cited by papers focused on TGF-β signaling in diseases (3 papers), Genetic factors in colorectal cancer (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). Sergio Palomo‐Ponce collaborates with scholars based in Spain, United States and Qatar. Sergio Palomo‐Ponce's 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 and has published in prestigious journals such as Nature, Nature Genetics and Genes & Development.

In The Last Decade

Sergio Palomo‐Ponce

10 papers receiving 3.9k citations

Hit Papers

TGFβ drives immune evasion in... 2003 2026 2010 2018 2018 2012 2015 2003 400 800 1.2k

Peers

Sergio Palomo‐Ponce
Galen Hostetter United States
Knut Engels Germany
Adrian M. Jubb United Kingdom
Vijaya Ramachandran United States
Sakari Vanharanta United Kingdom
Sergio Palomo‐Ponce
Citations per year, relative to Sergio Palomo‐Ponce Sergio Palomo‐Ponce (= 1×) peers Marta Sevillano

Countries citing papers authored by Sergio Palomo‐Ponce

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Tauriello, Daniele V. F., Elena Sancho, Daniel Byrom, et al.. (2024). New Potent Inhibitor of Transforming Growth Factor-Beta (TGFβ) Signaling that is Efficacious against Microsatellite Stable Colorectal Cancer Metastasis in Combination with Immune Checkpoint Therapy in Mice. ACS Pharmacology & Translational Science. 8(1). 97–112. 2 indexed citations
2.
Sibilio, Annarita, Víctor Alcalde, Adrià Cañellas‐Socias, et al.. (2023). Antitumor T‐cell function requires CPEB4‐mediated adaptation to chronic endoplasmic reticulum stress. The EMBO Journal. 42(9). e111494–e111494. 8 indexed citations
3.
Linares, Jenniffer, Mónica Varese, Ana Méndez-Vicente, et al.. (2023). Peptide–Platinum(IV) Conjugation Minimizes the Negative Impact of Current Anticancer Chemotherapy on Nonmalignant Cells. Journal of Medicinal Chemistry. 66(5). 3348–3355. 11 indexed citations
4.
Tauriello, Daniele V. F., Sergio Palomo‐Ponce, Antonio Berenguer, et al.. (2018). TGFβ drives immune evasion in genetically reconstituted colon cancer metastasis. Nature. 554(7693). 538–543. 1308 indexed citations breakdown →
5.
Calon, Alexandre, Enza Lonardo, Antonio Berenguer, et al.. (2015). Stromal gene expression defines poor-prognosis subtypes in colorectal cancer. Nature Genetics. 47(4). 320–329. 775 indexed citations breakdown →
6.
Palomo‐Ponce, Sergio, et al.. (2015). Comparison of Beta Backscatter and X-ray Fluorescence Methods to Measure Coating Thickness. DigitalCommons - CalPoly (California State Polytechnic University). 1 indexed citations
7.
Calon, Alexandre, Elisa Espinet, Sergio Palomo‐Ponce, et al.. (2012). Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiation. Cancer Cell. 22(5). 571–584. 826 indexed citations breakdown →
8.
Cortina, Carme, Sergio Palomo‐Ponce, Mar Iglesias, et al.. (2007). EphB–ephrin-B interactions suppress colorectal cancer progression by compartmentalizing tumor cells. Nature Genetics. 39(11). 1376–1383. 223 indexed citations
9.
Font-Llitjós, Mariona, Lídia Feliubadaló, Ramón Clèries, et al.. (2007). Slc7a9knockout mouse is a good cystinuria model for antilithiasic pharmacological studies. American Journal of Physiology-Renal Physiology. 293(3). F732–F740. 20 indexed citations
10.
Timmerman, Luika, Joaquím Grego‐Bessa, Ángel Raya, et al.. (2003). Notch promotes epithelial-mesenchymal transition during cardiac development and oncogenic transformation. Genes & Development. 18(1). 99–115. 760 indexed citations breakdown →

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.

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