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 2%
Papers in
- Oncology 4
- Colorectal Cancer Treatments and Studies 2
- Cancer Cells and Metastasis 2
- Pancreatic and Hepatic Oncology Research 1
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- TGF-β signaling in diseases 3
- Co-authors
- Antoni Riéra (5 shared papers)Alexandre Calon (3 shared papers)Sergio Palomo‐Ponce (4 shared papers)Eduard Batlle (4 shared papers)Mar Iglesias (3 shared papers)Marta Sevillano (4 shared papers)Daniele V. F. Tauriello (4 shared papers)Xavier Hernando‐Momblona (3 shared papers)
- Journals
- ACS Pharmacology & Translational Science (1 paper)Nature Genetics (1 paper)Nature (1 paper)Journal of the American Chemical Society (1 paper)Cancer Cell (1 paper)
- Partner nations
- SpainNetherlandsUnited States
In The Last Decade
Daniel Byrom
5 papers receiving 2.9k citations
Daniel Byrom's Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 2.1k
- Cancer Research 711
- Immunology 838
- Pathology and Forensic Medicine 409
- Biotechnology 154
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 | 1308 |
| 2 | Dependency of Colorectal Cancer on a TGF-β-Driven Program in Stromal Cells for Metastasis Initiation Hit paper breakdown → | 2012 | 826 |
| 3 | Stromal gene expression defines poor-prognosis subtypes in colorectal cancer Hit paper breakdown → | 2015 | 775 |
| 4 | 2013 | 43 | |
| 5 | 2024 | 2 |
About Daniel Byrom
Daniel Byrom is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Organic Chemistry and Inorganic Chemistry, having authored 5 papers that have together received 3.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Genetic factors in colorectal cancer (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Cells and Metastasis (2 papers), Asymmetric Hydrogenation and Catalysis (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Advanced Synthetic Organic Chemistry (1 paper) and Organophosphorus compounds synthesis (1 paper). The work is most often cited by research in Oncology (2.1k citations), Cancer Research (711 citations), Immunology (838 citations), Pathology and Forensic Medicine (409 citations) and Biotechnology (154 citations). Daniel Byrom has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Antoni Riéra, Alexandre Calon, Sergio Palomo‐Ponce, Eduard Batlle, Mar Iglesias, Marta Sevillano, Daniele V. F. Tauriello, Xavier Hernando‐Momblona, Antonio Berenguer and Camille Stephan‐Otto Attolini. Their work appears in journals such as ACS Pharmacology & Translational Science, Nature Genetics, Nature, Journal of the American Chemical Society and Cancer Cell.
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.