Saveria Aquila
- Molecular Biology top 5%
- Reproductive Medicine top 0.5%
- Genetics top 2%
- Public Health, Environmental and Occupational Health top 2%
- Cancer Research top 2%
- Co-authors
- Sebastiano AndòIda PerrottaCarmela GuidoEmilia MiddeaStefania CatalanoFrancesca De AmicisMariaelena GentileDiego Sisci
- Topics
- Sperm and Testicular Function (43 papers)Reproductive Biology and Fertility (23 papers)Estrogen and related hormone effects (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismOncogene
- Partner nations
- ItalyUnited StatesNew Zealand
In The Last Decade
Saveria Aquila
108 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 1.7k
- Reproductive Medicine 1.4k
- Genetics 930
- Public Health, Environmental and Occupational Health 791
- Cancer Research 677
Countries citing papers authored by Saveria Aquila
This map shows the geographic impact of Saveria Aquila'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 Saveria Aquila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saveria Aquila more than expected).
Fields of papers citing papers by Saveria Aquila
This network shows the impact of papers produced by Saveria Aquila. 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 Saveria Aquila. The network helps show where Saveria Aquila may publish in the future.
Co-authorship network of co-authors of Saveria Aquila
This figure shows the co-authorship network connecting the top 25 collaborators of Saveria Aquila. A scholar is included among the top collaborators of Saveria Aquila 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 Saveria Aquila. Saveria Aquila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 25 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 66 | |
| 9 | 67 | |
| 10 | 38 | |
| 11 | 26 | |
| 12 | 55 | |
| 13 | 38 | |
| 14 | 45 | |
| 15 | 33 | |
| 16 | 62 | |
| 17 | 9 | |
| 18 | 11 | |
| 19 | 9 | |
| 20 | 9 |
About Saveria Aquila
Saveria Aquila is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 110 papers that have together received 4.4k indexed citations. Recurring topics across this work include Sperm and Testicular Function (43 papers), Reproductive Biology and Fertility (23 papers) and Estrogen and related hormone effects (17 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Cancer Research (677 citations) and Physiology (160 citations). Saveria Aquila has collaborated with scholars based in Italy, United States and New Zealand. Frequent co-authors include Sebastiano Andò, Ida Perrotta, Carmela Guido, Emilia Middea, Stefania Catalano, Francesca De Amicis, Mariaelena Gentile, Diego Sisci, Marta Santoro and Vittoria Rago. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Oncogene.
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.