Daniela Vergara
Impact in
- Pharmacology top 2%
- Cannabis and Cannabinoid Research
- Plant Science top 10%
- GABA and Rice Research
- Plant Parasitism and Resistance
Papers in
-
- GABA and Rice Research 5
- Plant Parasitism and Resistance 3
- Pharmacology 11
- Cannabis and Cannabinoid Research 11
- Co-authors
- Nolan C. Kane (11 shared papers)Curtis M. Lively (6 shared papers)Felipe Guhl (1 shared paper)Néstor Pinto (1 shared paper)Germán Aguilera (1 shared paper)Kristin White (4 shared papers)Kyle G. Keepers (5 shared papers)Jukka Jokela (2 shared papers)
- Journals
- The American Naturalist (3 papers)PLoS ONE (2 papers)AoB Plants (2 papers)Critical Reviews in Plant Sciences (2 papers)Frontiers in Plant Science (1 paper)
- Partner nations
- United StatesColombiaChile
In The Last Decade
Daniela Vergara
33 papers receiving 817 citations
Peers
Comparison fields: 5 of 95
- Pharmacology 395
- Plant Science 323
- Insect Science 85
- Toxicology 19
- Nutrition and Dietetics 70
Countries citing papers authored by Daniela Vergara
This map shows the geographic impact of Daniela Vergara'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 Daniela Vergara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Vergara more than expected).
Fields of papers citing papers by Daniela Vergara
This network shows the impact of papers produced by Daniela Vergara. 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 Daniela Vergara. The network helps show where Daniela Vergara may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Vergara, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 118 | |
| 2 | 2020 | 111 | |
| 3 | 2016 | 106 | |
| 4 | 2017 | 71 | |
| 5 | 2022 | 44 | |
| 6 | 2014 | 41 | |
| 7 | 2016 | 41 | |
| 8 | 2019 | 36 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 27 | |
| 11 | 2013 | 27 | |
| 12 | 2015 | 26 | |
| 13 | 2021 | 18 | |
| 14 | 2014 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2020 | 11 |
About Daniela Vergara
Daniela Vergara is a scholar working on Plant Science, Pharmacology, Ecology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 34 papers that have together received 833 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (11 papers), GABA and Rice Research (5 papers), Evolution and Genetic Dynamics (5 papers), Trypanosoma species research and implications (4 papers), Research on Leishmaniasis Studies (4 papers), Parasite Biology and Host Interactions (4 papers), Plant Parasitism and Resistance (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Pharmacology (395 citations), Plant Science (323 citations), Insect Science (85 citations), Toxicology (19 citations) and Nutrition and Dietetics (70 citations). Daniela Vergara has collaborated with scholars based in United States, Colombia and Chile. Frequent co-authors include Nolan C. Kane, Curtis M. Lively, Felipe Guhl, Néstor Pinto, Germán Aguilera, Kristin White, Kyle G. Keepers, Jukka Jokela, Travis C. Ruthenburg and Silas Tittes. Their work appears in journals such as The American Naturalist, PLoS ONE, AoB Plants, Critical Reviews in Plant Sciences and Frontiers in Plant Science.
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.