Daniel Prieto
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Gut microbiota and health
- CRISPR and Genetic Engineering
Papers in
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- Antifungal resistance and susceptibility 14
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- Fungal and yeast genetics research 20
- Gut microbiota and health 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Jesús Plá (30 shared papers)Elvira Román (22 shared papers)Rebeca Alonso‐Monge (19 shared papers)Inês Correia (7 shared papers)Dalin Li (1 shared paper)Irina Leonardi (1 shared paper)Dermot P.B. McGovern (1 shared paper)Gregory Putzel (1 shared paper)
- Journals
- Future Microbiology (5 papers)Frontiers in Microbiology (3 papers)Journal of Fungi (3 papers)Journal of Proteome Research (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)
- Partner nations
- SpainPortugalUnited States
In The Last Decade
Daniel Prieto
29 papers receiving 887 citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 323
- Molecular Biology 543
- Applied Microbiology and Biotechnology 10
- Immunology 61
- Genetics 56
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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 256 | |
| 2 | 2014 | 86 | |
| 3 | 2008 | 62 | |
| 4 | 2019 | 61 | |
| 5 | 2010 | 51 | |
| 6 | 2016 | 42 | |
| 7 | 2019 | 39 | |
| 8 | 2016 | 28 | |
| 9 | 2015 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2015 | 21 | |
| 13 | 2017 | 20 | |
| 14 | 2016 | 19 | |
| 15 | 2015 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2016 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2018 | 12 |
About Daniel Prieto
Daniel Prieto is a scholar working on Infectious Diseases, Molecular Biology, Applied Microbiology and Biotechnology, Spectroscopy and Immunology, having authored 30 papers that have together received 890 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (20 papers), Antifungal resistance and susceptibility (14 papers), Gut microbiota and health (2 papers), CRISPR and Genetic Engineering (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Science Education and Pedagogy (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Service-Learning and Community Engagement (1 paper). The work is most often cited by research in Infectious Diseases (323 citations), Molecular Biology (543 citations), Applied Microbiology and Biotechnology (10 citations), Immunology (61 citations) and Genetics (56 citations). Daniel Prieto has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Jesús Plá, Elvira Román, Rebeca Alonso‐Monge, Inês Correia, Dalin Li, Irina Leonardi, Dermot P.B. McGovern, Gregory Putzel, Itai Doron and María Rescigno. Their work appears in journals such as Future Microbiology, Frontiers in Microbiology, Journal of Fungi, Journal of Proteome Research and Frontiers in Cellular and Infection Microbiology.
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.