G. Stancanelli
- Endocrinology top 1%
- Health, Toxicology and Mutagenesis top 5%
- Molecular Biology
- General Health Professions
- Pediatrics, Perinatology and Child Health
- Co-authors
- Paola BorellaMaria TriassiMaria Teresa MontagnaMatteo MoroIsabella MarchesiD. TatòChristian NapoliV. Romano-Spica
- Topics
- Legionella and Acanthamoeba research (9 papers)Global Maternal and Child Health (6 papers)Mobile Health and mHealth Applications (4 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
G. Stancanelli
27 papers receiving 517 citations
Peers
Comparison fields: 5 of 82
- Endocrinology 350
- Health, Toxicology and Mutagenesis 235
- Molecular Biology 162
- General Health Professions 80
- Pediatrics, Perinatology and Child Health 67
Countries citing papers authored by G. Stancanelli
This map shows the geographic impact of G. Stancanelli'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 G. Stancanelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Stancanelli more than expected).
Fields of papers citing papers by G. Stancanelli
This network shows the impact of papers produced by G. Stancanelli. 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 G. Stancanelli. The network helps show where G. Stancanelli may publish in the future.
Co-authorship network of co-authors of G. Stancanelli
This figure shows the co-authorship network connecting the top 25 collaborators of G. Stancanelli. A scholar is included among the top collaborators of G. Stancanelli 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 G. Stancanelli. G. Stancanelli 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 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 14 | |
| 8 | 38 | |
| 9 | 27 | |
| 10 | 26 | |
| 11 | 36 | |
| 12 | 132 | |
| 13 | Genetic polymorphisms as susceptibility factors to Legionella pneumonia. | 1 |
| 14 | 173 | |
| 15 | [Prevention and control of Legionella infection in the hospital environment]. | 11 |
| 16 | Role of wild plants and weeds in the epidemiology of tospovirus in Liguria. | 3 |
| 17 | Ruolo delle piante spontanee ed infestanti nell'epidemiologia di Tospovirus in Liguria. | 2 |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 1 |
About G. Stancanelli
G. Stancanelli is a scholar working on Endocrinology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 29 papers that have together received 549 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (9 papers), Global Maternal and Child Health (6 papers) and Mobile Health and mHealth Applications (4 papers). The work is most often cited by research in Endocrinology (350 citations), Health, Toxicology and Mutagenesis (235 citations) and General Dentistry (31 citations). G. Stancanelli has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Paola Borella, Maria Triassi, Maria Teresa Montagna, Matteo Moro, Isabella Marchesi, D. Tatò, Christian Napoli, V. Romano-Spica, S Stampi and Erica Leoni. Their work appears in journals such as The Lancet, 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.