Guillermo Nicolás Dalton
- Co-authors
- Adriana De SierviPaola De LucaRobbie G. MajznerAidan M. TousleyKevin GardnerWon‐Ju KimMaria Caterina RotirotiDorota D. Klysz
- Topics
- RNA modifications and cancer (5 papers)Cancer-related molecular mechanisms research (5 papers)MicroRNA in disease regulation (5 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- ArgentinaUnited StatesAustralia
In The Last Decade
Guillermo Nicolás Dalton
14 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Molecular Biology 265
- Oncology 209
- Cancer Research 145
- Biomedical Engineering 132
- Immunology 83
Countries citing papers authored by Guillermo Nicolás Dalton
This map shows the geographic impact of Guillermo Nicolás Dalton'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 Guillermo Nicolás Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Nicolás Dalton more than expected).
Fields of papers citing papers by Guillermo Nicolás Dalton
This network shows the impact of papers produced by Guillermo Nicolás Dalton. 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 Guillermo Nicolás Dalton. The network helps show where Guillermo Nicolás Dalton may publish in the future.
Co-authorship network of co-authors of Guillermo Nicolás Dalton
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Nicolás Dalton. A scholar is included among the top collaborators of Guillermo Nicolás Dalton 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 Guillermo Nicolás Dalton. Guillermo Nicolás Dalton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Co-opting signalling molecules enables logic-gated control of CAR T cellsbreakdown → | 170 |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 96 | |
| 6 | MiR-19b-3p and miR-101-3p as potential biomarkers for prostate cancer diagnosis and prognosis. | 31 |
| 7 | 18 | |
| 8 | 8 | |
| 9 | 32 | |
| 10 | 14 | |
| 11 | 18 | |
| 12 | 30 | |
| 13 | 21 | |
| 14 | 42 | |
| 15 | 17 |
About Guillermo Nicolás Dalton
Guillermo Nicolás Dalton is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 15 papers that have together received 503 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (145 citations), Oncology (209 citations) and Immunology (83 citations). Guillermo Nicolás Dalton has collaborated with scholars based in Argentina, United States and Australia. Frequent co-authors include Adriana De Siervi, Paola De Luca, Robbie G. Majzner, Aidan M. Tousley, Kevin Gardner, Won‐Ju Kim, Maria Caterina Rotiroti, Dorota D. Klysz, Peng Xu and Ansuman T. Satpathy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.