Alessandra Gederlini
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine
- Pulmonary and Respiratory Medicine
- Nutrition and Dietetics
- Co-authors
- Cristián A. CarvajalAlexis A. GonzálezLorena MossoÁlvaro HueteCarlos FardellaJoaquín MonteroPaul R. HarrisPaula Margozzini
- Topics
- Radiomics and Machine Learning in Medical Imaging (1 paper)Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper)Bone and Joint Diseases (1 paper)
In The Last Decade
Alessandra Gederlini
7 papers receiving 433 citations
Peers
Comparison fields: 5 of 50
- Endocrinology, Diabetes and Metabolism 340
- Surgery 335
- Cardiology and Cardiovascular Medicine 122
- Pulmonary and Respiratory Medicine 52
- Nutrition and Dietetics 41
Countries citing papers authored by Alessandra Gederlini
This map shows the geographic impact of Alessandra Gederlini'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 Alessandra Gederlini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra Gederlini more than expected).
Fields of papers citing papers by Alessandra Gederlini
This network shows the impact of papers produced by Alessandra Gederlini. 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 Alessandra Gederlini. The network helps show where Alessandra Gederlini may publish in the future.
Co-authorship network of co-authors of Alessandra Gederlini
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra Gederlini. A scholar is included among the top collaborators of Alessandra Gederlini 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 Alessandra Gederlini. Alessandra Gederlini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | NEOCOSUR: Informe Anual 2008 | 2 |
| 2 | 8 | |
| 3 | Neocosur: informe anual 2006 | 2 |
| 4 | Corticosteroid-induced osteoporosis in children: outcome after two-year follow-up, risk factors, densitometric predictive cut-off values for vertebral fractures. | 10 |
| 5 | 74 | |
| 6 | 1 | |
| 7 | 360 |
About Alessandra Gederlini
Alessandra Gederlini is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Genetics, having authored 7 papers that have together received 457 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (340 citations), Surgery (335 citations) and Cardiology and Cardiovascular Medicine (122 citations). Alessandra Gederlini has collaborated with scholars based in Chile, Belgium and Poland. Frequent co-authors include Cristián A. Carvajal, Alexis A. González, Lorena Mosso, Álvaro Huete, Carlos Fardella, Joaquín Montero, Paul R. Harris, Paula Margozzini, Carolina Serrano and Alejandro Venegas. Their work appears in journals such as Hypertension, Pediatric Research and Cancer Epidemiology Biomarkers & Prevention.
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.