Alessia Gravina
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Oncology top 10%
- Physiology top 10%
- Co-authors
- Giuseppe DerosaAngela D’AngeloArrigo F.G. CiceroSibilla SalvadeoIlaria FerrariSonja SchrepferT. DeuseGrigol Tediashvili
- Topics
- Metabolism, Diabetes, and Cancer (15 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)Diabetes Treatment and Management (13 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Experimental Medicine
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Alessia Gravina
49 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 840
- Endocrinology, Diabetes and Metabolism 561
- Surgery 435
- Oncology 284
- Physiology 275
Countries citing papers authored by Alessia Gravina
This map shows the geographic impact of Alessia Gravina'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 Alessia Gravina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessia Gravina more than expected).
Fields of papers citing papers by Alessia Gravina
This network shows the impact of papers produced by Alessia Gravina. 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 Alessia Gravina. The network helps show where Alessia Gravina may publish in the future.
Co-authorship network of co-authors of Alessia Gravina
This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Gravina. A scholar is included among the top collaborators of Alessia Gravina 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 Alessia Gravina. Alessia Gravina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 31 | |
| 4 | 134 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 20 | |
| 8 | 20 | |
| 9 | 35 | |
| 10 | 33 | |
| 11 | 21 | |
| 12 | 129 | |
| 13 | 14 | |
| 14 | 37 | |
| 15 | 56 | |
| 16 | 48 | |
| 17 | 6 | |
| 18 | 61 | |
| 19 | 72 | |
| 20 | 10 |
About Alessia Gravina
Alessia Gravina is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Epidemiology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers) and Diabetes Treatment and Management (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (561 citations), Immunology (273 citations) and Molecular Biology (840 citations). Alessia Gravina has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppe Derosa, Angela D’Angelo, Arrigo F.G. Cicero, Sibilla Salvadeo, Ilaria Ferrari, Sonja Schrepfer, T. Deuse, Grigol Tediashvili, Pamela Maffioli and Xiaomeng Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.
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.