Daniela Álvarez
Impact in
- Nutrition and Dietetics top 10%
- Fatty Acid Research and Health
-
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
Papers in
-
- Fatty Acid Research and Health 5
-
- Diet, Metabolism, and Disease 4
- Co-authors
- Macarena Ortíz (8 shared papers)Luis Alberto Videla (5 shared papers)Andrés Bustamante (5 shared papers)Francisca Echeverría (5 shared papers)Rodrigo Valenzuela (4 shared papers)Daniel Gonzalez‐Mañán (3 shared papers)Alejandra Espinosa (3 shared papers)Sandra A. Soto-Alarcón (3 shared papers)
- Journals
- Current Medicinal Chemistry (3 papers)Nutrients (2 papers)The Journal of Nutritional Biochemistry (1 paper)Neurology (1 paper)Food & Function (1 paper)
- Partner nations
- ChileUnited KingdomUnited States
In The Last Decade
Daniela Álvarez
17 papers receiving 419 citations
Peers
Comparison fields: 5 of 73
- Nutrition and Dietetics 100
- Obstetrics and Gynecology 39
- Endocrinology, Diabetes and Metabolism 70
- Biochemistry 32
- Epidemiology 123
Countries citing papers authored by Daniela Álvarez
This map shows the geographic impact of Daniela Álvarez'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 Álvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Álvarez more than expected).
Fields of papers citing papers by Daniela Álvarez
This network shows the impact of papers produced by Daniela Álvarez. 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 Álvarez. The network helps show where Daniela Álvarez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Álvarez, 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 | 2018 | 98 | |
| 2 | 2019 | 74 | |
| 3 | 2018 | 60 | |
| 4 | 2020 | 58 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 23 | |
| 7 | 2016 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2023 | 7 | |
| 14 | Peer-To-Peer Databases for e-Science: a Biodiversity Case Study. | 2005 | 5 |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 |
About Daniela Álvarez
Daniela Álvarez is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Physiology and Epidemiology, having authored 17 papers that have together received 424 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Fatty Acid Research and Health (5 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Ovarian function and disorders (2 papers), Pregnancy and preeclampsia studies (1 paper) and Dietary Effects on Health (1 paper). The work is most often cited by research in Nutrition and Dietetics (100 citations), Obstetrics and Gynecology (39 citations), Endocrinology, Diabetes and Metabolism (70 citations), Biochemistry (32 citations) and Epidemiology (123 citations). Daniela Álvarez has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Macarena Ortíz, Luis Alberto Videla, Andrés Bustamante, Francisca Echeverría, Rodrigo Valenzuela, Daniel Gonzalez‐Mañán, Alejandra Espinosa, Sandra A. Soto-Alarcón, Manuel Alejandro Maliqueo and Rodrigo Valenzuela. Their work appears in journals such as Current Medicinal Chemistry, Nutrients, The Journal of Nutritional Biochemistry, Neurology and Food & Function.
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.