Lidia Di Vito
- Endocrine and Autonomic Systems top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Nutrition and Dietetics top 2%
- Molecular Biology
- Co-authors
- Emanuela ArvatEzio GhigoF. CamanniRomano DeghenghiFabio BroglioGiampiero MuccioliCarlos DiéguezMauro Papotti
- Topics
- Epilepsy research and treatment (22 papers)Growth Hormone and Insulin-like Growth Factors (20 papers)Regulation of Appetite and Obesity (10 papers)
In The Last Decade
Lidia Di Vito
63 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 94
- Endocrine and Autonomic Systems 1.1k
- Endocrinology, Diabetes and Metabolism 921
- Physiology 647
- Nutrition and Dietetics 461
- Molecular Biology 276
Countries citing papers authored by Lidia Di Vito
This map shows the geographic impact of Lidia Di Vito'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 Lidia Di Vito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Di Vito more than expected).
Fields of papers citing papers by Lidia Di Vito
This network shows the impact of papers produced by Lidia Di Vito. 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 Lidia Di Vito. The network helps show where Lidia Di Vito may publish in the future.
Co-authorship network of co-authors of Lidia Di Vito
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Di Vito. A scholar is included among the top collaborators of Lidia Di Vito 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 Lidia Di Vito. Lidia Di Vito 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 | 2 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 32 | |
| 9 | Idebenone treatment increases chances of stabilization-recovery of visual acuity in patients affected by dominant optic atrophy (DOA) | 1 |
| 10 | 11 | |
| 11 | 7 | |
| 12 | 78 | |
| 13 | 71 | |
| 14 | 23 | |
| 15 | 5 | |
| 16 | 46 | |
| 17 | 44 | |
| 18 | 45 | |
| 19 | 39 | |
| 20 | 7 |
About Lidia Di Vito
Lidia Di Vito is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 66 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epilepsy research and treatment (22 papers), Growth Hormone and Insulin-like Growth Factors (20 papers) and Regulation of Appetite and Obesity (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Endocrinology, Diabetes and Metabolism (921 citations) and Behavioral Neuroscience (163 citations). Lidia Di Vito has collaborated with scholars based in Italy, Spain and Belarus. Frequent co-authors include Emanuela Arvat, Ezio Ghigo, F. Camanni, Romano Deghenghi, Fabio Broglio, Giampiero Muccioli, Carlos Diéguez, Mauro Papotti, Felipe F. Casanueva and Mauro Maccario. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Neurology and Biological Psychiatry.
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.