Nieves Ibarrola
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Spectroscopy top 5%
- Developmental Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Angeles Rodrı́guez-PeñaJuan BernalMiguel A. ÍñiguezAkhilesh PandeyAkiko IwahoriAlberto MúñozMads GrønborgMark Noble
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Thyroid Disorders and Treatments (4 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- SpainUnited StatesDenmark
In The Last Decade
Nieves Ibarrola
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 595
- Endocrinology, Diabetes and Metabolism 280
- Spectroscopy 169
- Developmental Neuroscience 162
- Cellular and Molecular Neuroscience 142
Countries citing papers authored by Nieves Ibarrola
This map shows the geographic impact of Nieves Ibarrola'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 Nieves Ibarrola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nieves Ibarrola more than expected).
Fields of papers citing papers by Nieves Ibarrola
This network shows the impact of papers produced by Nieves Ibarrola. 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 Nieves Ibarrola. The network helps show where Nieves Ibarrola may publish in the future.
Co-authorship network of co-authors of Nieves Ibarrola
This figure shows the co-authorship network connecting the top 25 collaborators of Nieves Ibarrola. A scholar is included among the top collaborators of Nieves Ibarrola 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 Nieves Ibarrola. Nieves Ibarrola 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 | 5 | |
| 4 | 13 | |
| 5 | 53 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 26 | |
| 9 | 27 | |
| 10 | 35 | |
| 11 | 31 | |
| 12 | 11 | |
| 13 | 53 | |
| 14 | 17 | |
| 15 | 26 | |
| 16 | 14 | |
| 17 | 100 | |
| 18 | 98 | |
| 19 | 27 | |
| 20 | 84 |
About Nieves Ibarrola
Nieves Ibarrola is a scholar working on Hepatology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Developmental Neuroscience (162 citations), Endocrinology, Diabetes and Metabolism (280 citations) and Spectroscopy (169 citations). Nieves Ibarrola has collaborated with scholars based in Spain, United States and Denmark. Frequent co-authors include Angeles Rodrı́guez-Peña, Juan Bernal, Miguel A. Íñiguez, Akhilesh Pandey, Akiko Iwahori, Alberto Múñoz, Mads Grønborg, Mark Noble, Dário Eluan Kalume and Margot Mayer‐Pröschel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.