Ángela M. Valverde
- Molecular Biology top 1%
- Epidemiology top 1%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Co-authors
- Manuel BenitoÁgueda González‐RodríguezMargarita LorenzoEnrique RozengurtJames Sinnett‐SmithPatricia RadaCarmelo García‐MonzónAna I. Arroba
- Topics
- Adipose Tissue and Metabolism (57 papers)Liver Disease Diagnosis and Treatment (36 papers)Pancreatic function and diabetes (27 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Ángela M. Valverde
190 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 4.1k
- Epidemiology 2.2k
- Physiology 2.0k
- Endocrinology, Diabetes and Metabolism 1.1k
- Surgery 923
Countries citing papers authored by Ángela M. Valverde
This map shows the geographic impact of Ángela M. Valverde'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 Ángela M. Valverde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángela M. Valverde more than expected).
Fields of papers citing papers by Ángela M. Valverde
This network shows the impact of papers produced by Ángela M. Valverde. 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 Ángela M. Valverde. The network helps show where Ángela M. Valverde may publish in the future.
Co-authorship network of co-authors of Ángela M. Valverde
This figure shows the co-authorship network connecting the top 25 collaborators of Ángela M. Valverde. A scholar is included among the top collaborators of Ángela M. Valverde 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 Ángela M. Valverde. Ángela M. Valverde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 20 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 33 | |
| 13 | 20 | |
| 14 | 22 | |
| 15 | 117 | |
| 16 | 52 | |
| 17 | 34 | |
| 18 | 36 | |
| 19 | 11 | |
| 20 | 3 |
About Ángela M. Valverde
Ángela M. Valverde is a scholar working on Hepatology, Physiology and Cancer Research, having authored 197 papers that have together received 8.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (57 papers), Liver Disease Diagnosis and Treatment (36 papers) and Pancreatic function and diabetes (27 papers). The work is most often cited by research in Physiology (2.0k citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Epidemiology (2.2k citations). Ángela M. Valverde has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Manuel Benito, Águeda González‐Rodríguez, Margarita Lorenzo, Enrique Rozengurt, James Sinnett‐Smith, Patricia Rada, Carmelo García‐Monzón, Ana I. Arroba, Paloma Navarro and Teresa Teruel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.