Emilia Sbardella
- Endocrinology, Diabetes and Metabolism top 1%
- Pathology and Forensic Medicine top 1%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 2%
- Co-authors
- Andrea M. IsidoriPatrizià PantanoNikolaos PetsasFrancesca TonaCarlo PozzilliAshley GrossmanAndrea LenziLuca Prosperini
- Topics
- Pituitary Gland Disorders and Treatments (30 papers)Multiple Sclerosis Research Studies (24 papers)Hormonal Regulation and Hypertension (20 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Emilia Sbardella
97 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 126
- Endocrinology, Diabetes and Metabolism 1.0k
- Pathology and Forensic Medicine 912
- Surgery 496
- Radiology, Nuclear Medicine and Imaging 473
- Neurology 447
Countries citing papers authored by Emilia Sbardella
This map shows the geographic impact of Emilia Sbardella'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 Emilia Sbardella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilia Sbardella more than expected).
Fields of papers citing papers by Emilia Sbardella
This network shows the impact of papers produced by Emilia Sbardella. 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 Emilia Sbardella. The network helps show where Emilia Sbardella may publish in the future.
Co-authorship network of co-authors of Emilia Sbardella
This figure shows the co-authorship network connecting the top 25 collaborators of Emilia Sbardella. A scholar is included among the top collaborators of Emilia Sbardella 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 Emilia Sbardella. Emilia Sbardella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 25 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 31 | |
| 12 | 14 | |
| 13 | 16 | |
| 14 | 31 | |
| 15 | 61 | |
| 16 | 46 | |
| 17 | 47 | |
| 18 | 111 | |
| 19 | 4 | |
| 20 | 23 |
About Emilia Sbardella
Emilia Sbardella is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Pathology and Forensic Medicine, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (30 papers), Multiple Sclerosis Research Studies (24 papers) and Hormonal Regulation and Hypertension (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Pathology and Forensic Medicine (912 citations) and Neurology (447 citations). Emilia Sbardella has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Andrea M. Isidori, Patrizià Pantano, Nikolaos Petsas, Francesca Tona, Carlo Pozzilli, Ashley Grossman, Andrea Lenzi, Luca Prosperini, Daniele Gianfrilli and Mary Anna Venneri. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.