Daniela Álvarez

17 papers receiving 395 citations

Peers

Daniela Álvarez
Comparison fields: 5 of 73
  • Nutrition and Dietetics 100
  • Obstetrics and Gynecology 37
  • Endocrinology, Diabetes and Metabolism 69
  • Biochemistry 31
  • Epidemiology 116
Replace Alain Montoudis with:
Alain Montoudis Canada
Zongxiang Sun China
Waleska Dornas Brazil
Omid Toupchian Iran
Hua Ning China
Diego Hernández‐Saavedra United States
L Bonnet France
Eugène Jansen Netherlands
Daniela Álvarez relative to Alain Montoudis Canada Alain Montoudis's profile →
Citations per field
00.5×
Alain Montoudis · 1×
Citations per year

Countries citing papers authored by Daniela Álvarez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela Álvarez Line = papers co-authored together Daniela Álvarez links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201895
2 201973
3 201859
4 202056
5 202224
6 202122
7 201616
8 201813
9 20188
10 20237
11 20247
12 20226
13 20236
14
Peer-To-Peer Databases for e-Science: a Biodiversity Case Study.
20053
15 20233
16 20242
17 20231

About Daniela Álvarez

Daniela Álvarez is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, Physiology and Nutrition and Dietetics, having authored 17 papers that have together received 401 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Birth, Development, and Health (5 papers), Diet, Metabolism, and Disease (4 papers), Adipose Tissue and Metabolism (4 papers), Ovarian function and disorders (2 papers), Estrogen and related hormone effects (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Nutrition and Dietetics (100 citations), Obstetrics and Gynecology (37 citations), Endocrinology, Diabetes and Metabolism (69 citations), Biochemistry (31 citations) and Epidemiology (116 citations). Daniela Álvarez has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Macarena Ortíz, Luis A. Videla, Francisca Echeverría, Rodrigo Valenzuela, Andrés Bustamante, Daniel Gonzalez‐Mañán, Alejandra Espinosa, Sandra Soto-Alarcón, Manuel Maliqueo and Rodrigo Valenzuela. Their work appears in journals such as Current Medicinal Chemistry, Nutrients, Prostaglandins Leukotrienes and Essential Fatty Acids, Oxidative Medicine and Cellular Longevity and Aging and Disease.

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.

Explore authors with similar magnitude of impact