Eva Ameneiros-Rodríguez
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Cancer Research
- Co-authors
- María M. Adeva‐AndanyCristóbal Donapetry‐GarcíaCarlos Fernández‐FernándezMatilde Vila-AltesorAlberto Domínguez-MonteroElvira Castro-QuintelaNatalia Carneiro-Freire
- Topics
- Metabolism, Diabetes, and Cancer (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)
- Partner nations
- SpainUnited States
In The Last Decade
Eva Ameneiros-Rodríguez
9 papers receiving 996 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 396
- Physiology 238
- Endocrinology, Diabetes and Metabolism 132
- Epidemiology 120
- Cancer Research 102
Countries citing papers authored by Eva Ameneiros-Rodríguez
This map shows the geographic impact of Eva Ameneiros-Rodríguez'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 Eva Ameneiros-Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Ameneiros-Rodríguez more than expected).
Fields of papers citing papers by Eva Ameneiros-Rodríguez
This network shows the impact of papers produced by Eva Ameneiros-Rodríguez. 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 Eva Ameneiros-Rodríguez. The network helps show where Eva Ameneiros-Rodríguez may publish in the future.
Co-authorship network of co-authors of Eva Ameneiros-Rodríguez
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Ameneiros-Rodríguez. A scholar is included among the top collaborators of Eva Ameneiros-Rodríguez 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 Eva Ameneiros-Rodríguez. Eva Ameneiros-Rodríguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 18 | |
| 6 | 17 | |
| 7 | 53 | |
| 8 | 119 | |
| 9 | Glycogen metabolism in humansbreakdown → | 337 |
| 10 | Comprehensive review on lactate metabolism in human healthbreakdown → | 449 |
About Eva Ameneiros-Rodríguez
Eva Ameneiros-Rodríguez is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Clinical Biochemistry (63 citations), Physiology (238 citations) and Nephrology (60 citations). Eva Ameneiros-Rodríguez has collaborated with scholars based in Spain and United States. Frequent co-authors include María M. Adeva‐Andany, Cristóbal Donapetry‐García, Carlos Fernández‐Fernández, Matilde Vila-Altesor, Alberto Domínguez-Montero, Elvira Castro-Quintela and Natalia Carneiro-Freire. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Amino Acids and Mitochondrion.
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.