Elena Casarosa
- Endocrinology, Diabetes and Metabolism top 1%
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 2%
- Behavioral Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- M. LuisiStefano LuisiNicola PluchinoF BernardiAndrea R. GenazzaniFelice PetragliaAndrea Riccardo GenazzaniSilvia Begliuomini
- Topics
- Stress Responses and Cortisol (28 papers)Estrogen and related hormone effects (23 papers)Menopause: Health Impacts and Treatments (21 papers)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Elena Casarosa
80 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 118
- Endocrinology, Diabetes and Metabolism 902
- Reproductive Medicine 773
- Public Health, Environmental and Occupational Health 692
- Behavioral Neuroscience 673
- Cellular and Molecular Neuroscience 565
Countries citing papers authored by Elena Casarosa
This map shows the geographic impact of Elena Casarosa'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 Elena Casarosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Casarosa more than expected).
Fields of papers citing papers by Elena Casarosa
This network shows the impact of papers produced by Elena Casarosa. 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 Elena Casarosa. The network helps show where Elena Casarosa may publish in the future.
Co-authorship network of co-authors of Elena Casarosa
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Casarosa. A scholar is included among the top collaborators of Elena Casarosa 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 Elena Casarosa. Elena Casarosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 39 | |
| 3 | 55 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 19 | |
| 7 | 13 | |
| 8 | 23 | |
| 9 | 24 | |
| 10 | 44 | |
| 11 | 18 | |
| 12 | 36 | |
| 13 | 52 | |
| 14 | 43 | |
| 15 | 39 | |
| 16 | 26 | |
| 17 | 92 | |
| 18 | 36 | |
| 19 | 321 | |
| 20 | 3 |
About Elena Casarosa
Elena Casarosa is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 81 papers that have together received 3.0k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (28 papers), Estrogen and related hormone effects (23 papers) and Menopause: Health Impacts and Treatments (21 papers). The work is most often cited by research in Behavioral Neuroscience (673 citations), Reproductive Medicine (773 citations) and Endocrinology, Diabetes and Metabolism (902 citations). Elena Casarosa has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include M. Luisi, Stefano Luisi, Nicola Pluchino, F Bernardi, Andrea R. Genazzani, Felice Petraglia, Andrea Riccardo Genazzani, Silvia Begliuomini, Alessandro D. Genazzani and P. Monteleone. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and International Journal of Obesity.
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.