Maria Alberti
- Neurology top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Hematology
- Co-authors
- Sergio Martínez‐YélamosJuan Antonio Martı́nez-MatosCarlos CasasnovasJordi MonteroMónica PovedanoAntonio VidallerJosé Antonio NarváezAlberto Fernández
- Topics
- Hereditary Neurological Disorders (9 papers)Peripheral Neuropathies and Disorders (8 papers)Myasthenia Gravis and Thymoma (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- SpainItalyUnited States
In The Last Decade
Maria Alberti
17 papers receiving 272 citations
Peers
Comparison fields: 5 of 42
- Neurology 188
- Cellular and Molecular Neuroscience 149
- Molecular Biology 44
- Radiology, Nuclear Medicine and Imaging 40
- Hematology 27
Countries citing papers authored by Maria Alberti
This map shows the geographic impact of Maria Alberti'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 Alberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Alberti more than expected).
Fields of papers citing papers by Maria Alberti
This network shows the impact of papers produced by Maria Alberti. 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 Alberti. The network helps show where Maria Alberti may publish in the future.
Co-authorship network of co-authors of Maria Alberti
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Alberti. A scholar is included among the top collaborators of Maria Alberti 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 Alberti. Maria Alberti 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | Prevalence of Anxiety and Depression and their Relationship with Clinical Characteristics in Patients with Interstitial Lung Disease | 2 |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | 40 | |
| 16 | 52 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 52 | |
| 20 | 14 |
About Maria Alberti
Maria Alberti is a scholar working on Neurology, Cellular and Molecular Neuroscience and Virology, having authored 20 papers that have together received 278 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (9 papers), Peripheral Neuropathies and Disorders (8 papers) and Myasthenia Gravis and Thymoma (3 papers). The work is most often cited by research in Neurology (188 citations), Cellular and Molecular Neuroscience (149 citations) and Hematology (27 citations). Maria Alberti has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Sergio Martínez‐Yélamos, Juan Antonio Martı́nez-Matos, Carlos Casasnovas, Jordi Montero, Mónica Povedano, Carlos Casasnovas, Antonio Vidaller, José Antonio Narváez, Alberto Fernández and Agustí Alentorn. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.