Daniel Prieto
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Molecular Biology Techniques and Applications 3
- Glycosylation and Glycoproteins Research 2
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Flavio R. Zolessi (4 shared papers)Pablo Oppezzo (7 shared papers)Pablo Elías Morande (3 shared papers)Cecilia Abreu (5 shared papers)Ana Inés Landoni (5 shared papers)Raúl Gabus (3 shared papers)Guillermo Dighiero (2 shared papers)Florencia Palacios (3 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Biology Open (1 paper)British Journal of Haematology (1 paper)Blood (1 paper)Leukemia (1 paper)
- Partner nations
- UruguayChileSwitzerland
In The Last Decade
Daniel Prieto
17 papers receiving 315 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 74
- Genetics 49
- Immunology 69
- Molecular Biology 201
- Physiology 9
Countries citing papers authored by Daniel Prieto
This map shows the geographic impact of Daniel Prieto'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 Prieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Prieto more than expected).
Fields of papers citing papers by Daniel Prieto
This network shows the impact of papers produced by Daniel Prieto. 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 Prieto. The network helps show where Daniel Prieto may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Prieto, 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 | 2017 | 81 | |
| 2 | 2014 | 64 | |
| 3 | 2014 | 60 | |
| 4 | 2014 | 15 | |
| 5 | 2015 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 2016 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2015 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 |
About Daniel Prieto
Daniel Prieto is a scholar working on Molecular Biology, Genetics, Immunology, Pharmacology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 321 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Galectins and Cancer Biology (3 papers), Molecular Biology Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Biological Stains and Phytochemicals (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Cancer Research (74 citations), Genetics (49 citations), Immunology (69 citations), Molecular Biology (201 citations) and Physiology (9 citations). Daniel Prieto has collaborated with scholars based in Uruguay, Chile and Switzerland. Frequent co-authors include Flavio R. Zolessi, Pablo Oppezzo, Pablo Elías Morande, Cecilia Abreu, Ana Inés Landoni, Raúl Gabus, Guillermo Dighiero, Florencia Palacios, Sandra Sernbo and Santiago Ruiz. Their work appears in journals such as Journal of Visualized Experiments, Biology Open, British Journal of Haematology, Blood and Leukemia.
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.