Dácil Rivera
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
- Food Science 16
- Salmonella and Campylobacter epidemiology 14
- Ecology 9
- Bacteriophages and microbial interactions 9
- Co-authors
- Andrea I. Moreno‐Switt (24 shared papers)Christopher Hamilton‐West (10 shared papers)Eduardo A. Undurraga (1 shared paper)Diana Álvarez (1 shared paper)Aiko D. Adell (5 shared papers)Paola Navarrete (2 shared papers)Angélica Reyes-Jara (2 shared papers)Raúl Alegría‐Morán (2 shared papers)
- Journals
- Frontiers in Microbiology (3 papers)Antibiotics (2 papers)Food Microbiology (2 papers)Viruses (2 papers)Zoonoses and Public Health (1 paper)
- Partner nations
- ChileUnited StatesCanada
In The Last Decade
Dácil Rivera
24 papers receiving 293 citations
Peers
Comparison fields: 5 of 53
- Molecular Medicine 72
- Endocrinology 59
- Food Science 185
- Biotechnology 49
- Applied Microbiology and Biotechnology 8
Countries citing papers authored by Dácil Rivera
This map shows the geographic impact of Dácil Rivera'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 Dácil Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dácil Rivera more than expected).
Fields of papers citing papers by Dácil Rivera
This network shows the impact of papers produced by Dácil Rivera. 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 Dácil Rivera. The network helps show where Dácil Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Dácil Rivera, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 51 | |
| 2 | 2017 | 27 | |
| 3 | 2020 | 21 | |
| 4 | 2019 | 19 | |
| 5 | 2022 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 3 |
About Dácil Rivera
Dácil Rivera is a scholar working on Food Science, Ecology, Infectious Diseases, Biotechnology and Endocrinology, having authored 24 papers that have together received 296 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (14 papers), Bacteriophages and microbial interactions (9 papers), Listeria monocytogenes in Food Safety (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Vibrio bacteria research studies (5 papers), Plant Virus Research Studies (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Molecular Medicine (72 citations), Endocrinology (59 citations), Food Science (185 citations), Biotechnology (49 citations) and Applied Microbiology and Biotechnology (8 citations). Dácil Rivera has collaborated with scholars based in Chile, United States and Canada. Frequent co-authors include Andrea I. Moreno‐Switt, Christopher Hamilton‐West, Eduardo A. Undurraga, Diana Álvarez, Aiko D. Adell, Paola Navarrete, Angélica Reyes-Jara, Raúl Alegría‐Morán, Thomas G. Denes and Lauren K. Hudson. Their work appears in journals such as Frontiers in Microbiology, Antibiotics, Food Microbiology, Viruses and Zoonoses and Public Health.
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.