Benedetta Nacmias
- Physiology top 0.5%
- Molecular Biology top 5%
- Psychiatry and Mental health top 1%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Sandro SorbiSilvia BagnoliAndrea TeddeValentina BessiElena CelliniSilvia PiacentiniLaura BraccoPaolo Forleo
- Topics
- Alzheimer's disease research and treatments (98 papers)Dementia and Cognitive Impairment Research (52 papers)Amyotrophic Lateral Sclerosis Research (18 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Benedetta Nacmias
205 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 145
- Physiology 2.2k
- Molecular Biology 1.7k
- Psychiatry and Mental health 1.3k
- Neurology 632
- Cellular and Molecular Neuroscience 620
Countries citing papers authored by Benedetta Nacmias
This map shows the geographic impact of Benedetta Nacmias'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 Benedetta Nacmias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetta Nacmias more than expected).
Fields of papers citing papers by Benedetta Nacmias
This network shows the impact of papers produced by Benedetta Nacmias. 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 Benedetta Nacmias. The network helps show where Benedetta Nacmias may publish in the future.
Co-authorship network of co-authors of Benedetta Nacmias
This figure shows the co-authorship network connecting the top 25 collaborators of Benedetta Nacmias. A scholar is included among the top collaborators of Benedetta Nacmias 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 Benedetta Nacmias. Benedetta Nacmias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 4 | |
| 11 | A proof-of-concept study applying machine learning methods to putative risk factors for eating disorders: results from the multi-centre European project on healthy eating | 13 |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 17 | |
| 20 | 28 |
About Benedetta Nacmias
Benedetta Nacmias is a scholar working on Psychiatry and Mental health, Physiology and Neurology, having authored 212 papers that have together received 5.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (98 papers), Dementia and Cognitive Impairment Research (52 papers) and Amyotrophic Lateral Sclerosis Research (18 papers). The work is most often cited by research in Physiology (2.2k citations), Psychiatry and Mental health (1.3k citations) and Neurology (632 citations). Benedetta Nacmias has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Sandro Sorbi, Silvia Bagnoli, Andrea Tedde, Valentina Bessi, Elena Cellini, Silvia Piacentini, Laura Bracco, Paolo Forleo, Stefania Latorraca and Irene Piaceri. Their work appears in journals such as Nature Communications, 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.