Maria Lieto
- Computer Science Applications top 2%
- Cellular and Molecular Neuroscience top 10%
- Developmental and Educational Psychology top 5%
- Molecular Biology
- Education top 10%
- Co-authors
- Chiara PeciniGiovanni CioniGiuseppina SgandurraEmanuela CastroPaolo DarioEmanuela InguaggiatoFrancesca CecchiAlessandro Filla
- Topics
- Genetic Neurodegenerative Diseases (13 papers)Mitochondrial Function and Pathology (10 papers)Parkinson's Disease Mechanisms and Treatments (6 papers)
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorFrontiers in Psychology
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Maria Lieto
39 papers receiving 683 citations
Peers
Comparison fields: 5 of 95
- Computer Science Applications 170
- Cellular and Molecular Neuroscience 164
- Developmental and Educational Psychology 157
- Molecular Biology 154
- Education 115
Countries citing papers authored by Maria Lieto
This map shows the geographic impact of Maria Lieto'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 Maria Lieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Lieto more than expected).
Fields of papers citing papers by Maria Lieto
This network shows the impact of papers produced by Maria Lieto. 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 Maria Lieto. The network helps show where Maria Lieto may publish in the future.
Co-authorship network of co-authors of Maria Lieto
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Lieto. A scholar is included among the top collaborators of Maria Lieto 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 Maria Lieto. Maria Lieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 38 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | 10 | |
| 14 | 38 | |
| 15 | 15 | |
| 16 | 5 | |
| 17 | 28 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 25 |
About Maria Lieto
Maria Lieto is a scholar working on Developmental and Educational Psychology, Cellular and Molecular Neuroscience and Neurology, having authored 41 papers that have together received 691 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (13 papers), Mitochondrial Function and Pathology (10 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Computer Science Applications (170 citations), Developmental and Educational Psychology (157 citations) and Cellular and Molecular Neuroscience (164 citations). Maria Lieto has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Chiara Pecini, Giovanni Cioni, Giuseppina Sgandurra, Emanuela Castro, Paolo Dario, Emanuela Inguaggiato, Francesca Cecchi, Alessandro Filla, Giuseppe De Michele and Cecilia Laschi. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Frontiers in Psychology.
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.