Eugenia Dı́az
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Physiology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Cleofina BoscoRoberto NavarreteGeorge Z. MentisTeresa Pinto‐HamuyLinda MoranMiguel L. ConchaVíctor Fernández SalinasSteffen Härtel
- Topics
- Hemispheric Asymmetry in Neuroscience (3 papers)Neuroscience and Neuropharmacology Research (3 papers)Ion channel regulation and function (3 papers)
- Partner nations
- ChileUnited KingdomUnited States
In The Last Decade
Eugenia Dı́az
20 papers receiving 440 citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 125
- Molecular Biology 123
- Cognitive Neuroscience 109
- Physiology 75
- Pediatrics, Perinatology and Child Health 48
Countries citing papers authored by Eugenia Dı́az
This map shows the geographic impact of Eugenia Dı́az'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 Eugenia Dı́az with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Dı́az more than expected).
Fields of papers citing papers by Eugenia Dı́az
This network shows the impact of papers produced by Eugenia Dı́az. 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 Eugenia Dı́az. The network helps show where Eugenia Dı́az may publish in the future.
Co-authorship network of co-authors of Eugenia Dı́az
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia Dı́az. A scholar is included among the top collaborators of Eugenia Dı́az based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugenia Dı́az. Eugenia Dı́az is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 19 | |
| 4 | 48 | |
| 5 | 5 | |
| 6 | 38 | |
| 7 | 39 | |
| 8 | 34 | |
| 9 | 24 | |
| 10 | 6 | |
| 11 | 30 | |
| 12 | 12 | |
| 13 | 28 | |
| 14 | 47 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 20 | |
| 18 | 25 | |
| 19 | Body mass index, body composition and the chronic energy deficiency classification of rural adult populations in Guatemala. | 26 |
| 20 | 37 |
About Eugenia Dı́az
Eugenia Dı́az is a scholar working on Obstetrics and Gynecology, Gastroenterology and Cognitive Neuroscience, having authored 21 papers that have together received 451 indexed citations. Recurring topics across this work include Hemispheric Asymmetry in Neuroscience (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (125 citations), Cognitive Neuroscience (109 citations) and Developmental Neuroscience (20 citations). Eugenia Dı́az has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Cleofina Bosco, Roberto Navarrete, George Z. Mentis, Teresa Pinto‐Hamuy, Linda Moran, Miguel L. Concha, Víctor Fernández Salinas, Steffen Härtel, Daniela Bravo and Maarten D.C. Immink. Their work appears in journals such as The Journal of Physiology, The Journal of Comparative Neurology and Journal of Neurophysiology.
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.