Daniel Gonzalez‐Mañán
Impact in
- Nutrition and Dietetics top 5%
- Fatty Acid Research and Health
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Eicosanoids and Hypertension Pharmacology
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 10
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- Fatty Acid Research and Health 9
- Co-authors
- Alejandra Espinosa (12 shared papers)Luis A. Videla (9 shared papers)Rodrigo Valenzuela (8 shared papers)Gladys Tapia (10 shared papers)Francisca Echeverría (5 shared papers)Amanda D’Espessailles (7 shared papers)Macarena Ortíz (3 shared papers)Andrés Bustamante (3 shared papers)
- Journals
- Food & Function (5 papers)Nutrition (2 papers)Molecular Nutrition & Food Research (2 papers)Journal of Nutrition (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChileUnited KingdomArgentina
In The Last Decade
Daniel Gonzalez‐Mañán
18 papers receiving 737 citations
Peers
Comparison fields: 5 of 70
- Nutrition and Dietetics 222
- Biochemistry 92
- Endocrinology, Diabetes and Metabolism 132
- Epidemiology 253
- Biochemistry 40
Countries citing papers authored by Daniel Gonzalez‐Mañán
This map shows the geographic impact of Daniel Gonzalez‐Mañán'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 Gonzalez‐Mañán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gonzalez‐Mañán more than expected).
Fields of papers citing papers by Daniel Gonzalez‐Mañán
This network shows the impact of papers produced by Daniel Gonzalez‐Mañán. 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 Gonzalez‐Mañán. The network helps show where Daniel Gonzalez‐Mañán may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gonzalez‐Mañán, 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 | 2017 | 119 | |
| 2 | 2018 | 95 | |
| 3 | 2012 | 93 | |
| 4 | 2014 | 79 | |
| 5 | 2019 | 73 | |
| 6 | 2018 | 50 | |
| 7 | 2019 | 49 | |
| 8 | 2012 | 44 | |
| 9 | 2017 | 34 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 12 | |
| 15 | 2005 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2016 | 1 |
About Daniel Gonzalez‐Mañán
Daniel Gonzalez‐Mañán is a scholar working on Epidemiology, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Biochemistry, having authored 18 papers that have together received 745 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Fatty Acid Research and Health (9 papers), Diet, Metabolism, and Disease (5 papers), Cholesterol and Lipid Metabolism (3 papers), Adipose Tissue and Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Nutrition and Dietetics (222 citations), Biochemistry (92 citations), Endocrinology, Diabetes and Metabolism (132 citations), Epidemiology (253 citations) and Biochemistry (40 citations). Daniel Gonzalez‐Mañán has collaborated with scholars based in Chile, United Kingdom and Argentina. Frequent co-authors include Alejandra Espinosa, Luis A. Videla, Rodrigo Valenzuela, Gladys Tapia, Francisca Echeverría, Amanda D’Espessailles, Macarena Ortíz, Andrés Bustamante, Paola Illesca and Nalda Romero. Their work appears in journals such as Food & Function, Nutrition, Molecular Nutrition & Food Research, Journal of Nutrition and PLoS ONE.
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.