Inmaculada Banegas
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Physiology
- Co-authors
- Isabel PrietoAna Belén SegarraMarc de GasparoFrancisco VivesFrancisco AlbaManuel Ramı́rezManuel Ramírez‐SánchezRosemary Wangensteen
- Topics
- Neuropeptides and Animal Physiology (21 papers)Renin-Angiotensin System Studies (15 papers)Neuroendocrine regulation and behavior (9 papers)
- Cited by
- Behavioral NeuroscienceCellular and Molecular NeuroscienceEndocrinology, Diabetes and Metabolism
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaScientific Reports
In The Last Decade
Inmaculada Banegas
47 papers receiving 562 citations
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 215
- Cardiology and Cardiovascular Medicine 177
- Endocrinology, Diabetes and Metabolism 141
- Molecular Biology 120
- Physiology 101
Countries citing papers authored by Inmaculada Banegas
This map shows the geographic impact of Inmaculada Banegas'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 Inmaculada Banegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Banegas more than expected).
Fields of papers citing papers by Inmaculada Banegas
This network shows the impact of papers produced by Inmaculada Banegas. 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 Inmaculada Banegas. The network helps show where Inmaculada Banegas may publish in the future.
Co-authorship network of co-authors of Inmaculada Banegas
This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Banegas. A scholar is included among the top collaborators of Inmaculada Banegas 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 Inmaculada Banegas. Inmaculada Banegas 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 | 3 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 63 | |
| 8 | 27 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 22 | |
| 14 | 13 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 13 |
About Inmaculada Banegas
Inmaculada Banegas is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 567 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (21 papers), Renin-Angiotensin System Studies (15 papers) and Neuroendocrine regulation and behavior (9 papers). The work is most often cited by research in Behavioral Neuroscience (54 citations), Cellular and Molecular Neuroscience (215 citations) and Endocrinology, Diabetes and Metabolism (141 citations). Inmaculada Banegas has collaborated with scholars based in Spain, Slovakia and Belgium. Frequent co-authors include Isabel Prieto, Ana Belén Segarra, Marc de Gasparo, Francisco Vives, Francisco Alba, Manuel Ramı́rez, Manuel Ramírez‐Sánchez, Rosemary Wangensteen, Raquel Durán and Magdalena Martínez‐Cañamero. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.
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.