Daniel Byrom
Impact in
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 5%
Papers in
- Oncology 2
- Colorectal Cancer Treatments and Studies 1
- Cancer Cells and Metastasis 1
- Cancer Immunotherapy and Biomarkers 1
-
- TGF-β signaling in diseases 4
- Co-authors
- Antoni Riera-Mestre (5 shared papers)Marta Sevillano (4 shared papers)Sergio Palomo‐Ponce (4 shared papers)Alexandre Calon (3 shared papers)Mar Iglesias (3 shared papers)Eduard Batlle (4 shared papers)Daniele V. F. Tauriello (4 shared papers)Xavier Hernando‐Momblona (3 shared papers)
- Journals
- Nature (1 paper)Cancer Cell (1 paper)Journal of the American Chemical Society (1 paper)ACS Pharmacology & Translational Science (1 paper)Nature Genetics (1 paper)
- Partner nations
- SpainNetherlandsUnited States
In The Last Decade
Daniel Byrom
5 papers receiving 3.3k citations
Daniel Byrom's Hit Papers
Peers
Comparison fields: 5 of 78
- Oncology 1.9k
- Cancer Research 261
- Molecular Biology 1.1k
- Immunology 332
- Pathology and Forensic Medicine 159
Countries citing papers authored by Daniel Byrom
This map shows the geographic impact of Daniel Byrom'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 Daniel Byrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Byrom more than expected).
Fields of papers citing papers by Daniel Byrom
This network shows the impact of papers produced by Daniel Byrom. 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 Daniel Byrom. The network helps show where Daniel Byrom may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Byrom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TGFβ drives immune evasion in genetically reconstituted colon cancer metastasis Hit paper breakdown → | 2018 | 1506 |
| 2 | Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiation Hit paper breakdown → | 2012 | 921 |
| 3 | Stromal gene expression defines poor-prognosis subtypes in colorectal cancer Hit paper breakdown → | 2015 | 887 |
| 4 | 2013 | 48 | |
| 5 | 2024 | 3 |
About Daniel Byrom
Daniel Byrom is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 3.4k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Asymmetric Synthesis and Catalysis (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Organophosphorus compounds synthesis (1 paper), Cancer Cells and Metastasis (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Phosphorus compounds and reactions (1 paper). The work is most often cited by research in Oncology (1.9k citations), Cancer Research (261 citations), Molecular Biology (1.1k citations), Immunology (332 citations) and Pathology and Forensic Medicine (159 citations). Daniel Byrom has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Antoni Riera-Mestre, Marta Sevillano, Sergio Palomo‐Ponce, Alexandre Calon, Mar Iglesias, Eduard Batlle, Daniele V. F. Tauriello, Xavier Hernando‐Momblona, Camille Stephan‐Otto Attolini and Antonio Berenguer. Their work appears in journals such as Nature, Cancer Cell, Journal of the American Chemical Society, ACS Pharmacology & Translational Science and Nature Genetics.
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.