Eva Estébanez‐Perpiñá
- Molecular Biology top 10%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology
- Co-authors
- Robert J. FletterickR. Kiplin GuyPaul WebbJohn D. BaxterEllena MarLeggy A. ArnoldPhuong NguyenVíctor Buzón
- Topics
- Estrogen and related hormone effects (21 papers)Prostate Cancer Treatment and Research (11 papers)Hormonal and reproductive studies (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Eva Estébanez‐Perpiñá
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 971
- Genetics 669
- Endocrinology, Diabetes and Metabolism 485
- Pulmonary and Respiratory Medicine 455
- Oncology 156
Countries citing papers authored by Eva Estébanez‐Perpiñá
This map shows the geographic impact of Eva Estébanez‐Perpiñá'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 Estébanez‐Perpiñá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Estébanez‐Perpiñá more than expected).
Fields of papers citing papers by Eva Estébanez‐Perpiñá
This network shows the impact of papers produced by Eva Estébanez‐Perpiñá. 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 Estébanez‐Perpiñá. The network helps show where Eva Estébanez‐Perpiñá may publish in the future.
Co-authorship network of co-authors of Eva Estébanez‐Perpiñá
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Estébanez‐Perpiñá. A scholar is included among the top collaborators of Eva Estébanez‐Perpiñá 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 Estébanez‐Perpiñá. Eva Estébanez‐Perpiñá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 19 | |
| 8 | 4 | |
| 9 | 146 | |
| 10 | 35 | |
| 11 | 140 | |
| 12 | 40 | |
| 13 | 22 | |
| 14 | 49 | |
| 15 | 26 | |
| 16 | 56 | |
| 17 | 9 | |
| 18 | 49 | |
| 19 | 126 | |
| 20 | 1 |
About Eva Estébanez‐Perpiñá
Eva Estébanez‐Perpiñá is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Prostate Cancer Treatment and Research (11 papers) and Hormonal and reproductive studies (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (485 citations), Genetics (669 citations) and Molecular Biology (971 citations). Eva Estébanez‐Perpiñá has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Robert J. Fletterick, R. Kiplin Guy, Paul Webb, John D. Baxter, Ellena Mar, Leggy A. Arnold, Phuong Nguyen, Víctor Buzón, Pablo Fuentes‐Prior and Dorien Clarisse. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.