Guillermo Nicolás Dalton

1.1k citations
15 papers · 503 indexed · 1 hit paper · h-index 11
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 5
    • Cancer, Lipids, and Metabolism 3
    • CAR-T cell therapy research 4
    • RNA modifications and cancer 5
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Circular RNAs in diseases 2
    • Nanowire Synthesis and Applications 3

Guillermo Nicolás Dalton

14 papers receiving 497 citations

Hit Papers

Co-opting signalling molecules enables logic-gated contro...170202320262024202550100150

Peers

Guillermo Nicolás Dalton
Comparison fields: 5 of 71
  • Cancer Research 145
  • Oncology 209
  • Immunology 83
  • Molecular Biology 265
  • Biomedical Engineering 132
Replace Radosław Szmyd with:
Radosław Szmyd Singapore
Claudia Corrò Switzerland
Kishan A.T. Naipal Netherlands
Ming-Hsin Yang Taiwan
Josiah N. Orina United States
Cathy Spillane Ireland
Jaehun Lee South Korea
Josette Northcott United States
Tatiana Eliseeva United States
Pin‐Ji Lei United States
Guillermo Nicolás Dalton relative to Radosław Szmyd Singapore Radosław Szmyd's profile →
Citations per field
00.5×1.5×2.3×
Radosław Szmyd · 1×
Citations per year

Countries citing papers authored by Guillermo Nicolás Dalton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Guillermo Nicolás Dalton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guillermo Nicolás Dalton Line = papers co-authored together Guillermo Nicolás Dalton links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20250
2
Co-opting signalling molecules enables logic-gated control of CAR T cellsbreakdown →
2023170
3 20234
4 20232
5 202296
6
MiR-19b-3p and miR-101-3p as potential biomarkers for prostate cancer diagnosis and prognosis.
202131
7 202118
8 20208
9 201932
10 201914
11 201818
12 201830
13 201821
14 201742
15 201617

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), MicroRNA in disease regulation (5 papers), CAR-T cell therapy research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Nanowire Synthesis and Applications (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Circular RNAs in diseases (2 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.

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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