Salvatorica Manca
- Psychiatry and Mental health top 10%
- Cognitive Neuroscience top 10%
- Genetics
- Pharmacology top 10%
- Molecular Biology
- Co-authors
- Stefano SotgiuStefania ManganelliGiovanni BiasiR MarcolongoFranca Rosa GueriniElisabetta BolognesiMario ClericiCristina Agliardi
- Topics
- Autism Spectrum Disorder Research (8 papers)Genetics and Neurodevelopmental Disorders (6 papers)Virology and Viral Diseases (3 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
Salvatorica Manca
20 papers receiving 513 citations
Peers
Comparison fields: 5 of 84
- Psychiatry and Mental health 167
- Cognitive Neuroscience 163
- Genetics 115
- Pharmacology 92
- Molecular Biology 88
Countries citing papers authored by Salvatorica Manca
This map shows the geographic impact of Salvatorica Manca'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 Salvatorica Manca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatorica Manca more than expected).
Fields of papers citing papers by Salvatorica Manca
This network shows the impact of papers produced by Salvatorica Manca. 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 Salvatorica Manca. The network helps show where Salvatorica Manca may publish in the future.
Co-authorship network of co-authors of Salvatorica Manca
This figure shows the co-authorship network connecting the top 25 collaborators of Salvatorica Manca. A scholar is included among the top collaborators of Salvatorica Manca 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 Salvatorica Manca. Salvatorica Manca 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 | 33 | |
| 3 | 13 | |
| 4 | 43 | |
| 5 | 27 | |
| 6 | 51 | |
| 7 | 26 | |
| 8 | 21 | |
| 9 | 14 | |
| 10 | 31 | |
| 11 | 47 | |
| 12 | 16 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 10 | |
| 17 | 15 | |
| 18 | [The prevalence of the Wolff-Parkinson-White syndrome in a population of 116,542 young males]. | 18 |
| 19 | 38 | |
| 20 | [Esophageal dysperistalsis in progressive scleroderma, progressive polyarthritis and other collagenoses]. | 1 |
About Salvatorica Manca
Salvatorica Manca is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pathology and Forensic Medicine, having authored 21 papers that have together received 542 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Psychiatry and Mental health (167 citations), Cognitive Neuroscience (163 citations) and Nephrology (45 citations). Salvatorica Manca has collaborated with scholars based in Italy and United States. Frequent co-authors include Stefano Sotgiu, Stefania Manganelli, Giovanni Biasi, R Marcolongo, Franca Rosa Guerini, Elisabetta Bolognesi, Mario Clerici, Cristina Agliardi, Alessandro Ghezzo and Matteo Chiappedi. Their work appears in journals such as The Lancet, Neuroscience and Journal of Chromatography A.
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.