Daniel Prieto
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Clostridium difficile and Clostridium perfringens research
- Food Science top 5%
- Probiotics and Fermented Foods
Papers in
-
- Antifungal resistance and susceptibility 25
-
- Gut microbiota and health 5
- Fungal and yeast genetics research 4
- Co-authors
- Jesús Plá (29 shared papers)Elvira Román (22 shared papers)Rebeca Alonso‐Monge (19 shared papers)Inês Correia (7 shared papers)Iliyan D. Iliev (1 shared paper)Itai Doron (1 shared paper)María Rescigno (1 shared paper)Dalin Li (1 shared paper)
- Journals
- Future Microbiology (5 papers)Journal of Fungi (3 papers)Frontiers in Microbiology (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
38 papers receiving 912 citations
Peers
Comparison fields: 5 of 96
- Infectious Diseases 501
- Food Science 153
- Epidemiology 254
- Biological Psychiatry 14
- Molecular Biology 400
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 233 | |
| 2 | 2014 | 84 | |
| 3 | 2008 | 61 | |
| 4 | 2019 | 60 | |
| 5 | 2010 | 49 | |
| 6 | 2016 | 43 | |
| 7 | 2019 | 36 | |
| 8 | 2015 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2018 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2015 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2016 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2016 | 15 |
About Daniel Prieto
Daniel Prieto is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Ecology and Food Science, having authored 39 papers that have together received 914 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (25 papers), Fungal Infections and Studies (11 papers), Probiotics and Fermented Foods (9 papers), Marine Bivalve and Aquaculture Studies (7 papers), Gut microbiota and health (5 papers), Aquatic Invertebrate Ecology and Behavior (5 papers), Fungal and yeast genetics research (4 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Infectious Diseases (501 citations), Food Science (153 citations), Epidemiology (254 citations), Biological Psychiatry (14 citations) and Molecular Biology (400 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, Iliyan D. Iliev, Itai Doron, María Rescigno, Dalin Li, Irina Leonardi and Dermot McGovern. Their work appears in journals such as Future Microbiology, Journal of Fungi, Frontiers in Microbiology, 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.