Daniela Di Bella
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Psychiatry and Mental health top 1%
- Clinical Psychology top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Marco CatalanoEnrico SmeraldiLaura BellodiFrancesco BenedettiKlaus‐Peter LeschRaffaella ZanardiJ. PérezMaria Cristina Cavallini
- Topics
- Genetic Neurodegenerative Diseases (17 papers)Neurotransmitter Receptor Influence on Behavior (17 papers)Mitochondrial Function and Pathology (15 papers)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Daniela Di Bella
72 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 1.0k
- Psychiatry and Mental health 810
- Clinical Psychology 755
- Cognitive Neuroscience 507
Countries citing papers authored by Daniela Di Bella
This map shows the geographic impact of Daniela Di Bella'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 Daniela Di Bella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Di Bella more than expected).
Fields of papers citing papers by Daniela Di Bella
This network shows the impact of papers produced by Daniela Di Bella. 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 Daniela Di Bella. The network helps show where Daniela Di Bella may publish in the future.
Co-authorship network of co-authors of Daniela Di Bella
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Di Bella. A scholar is included among the top collaborators of Daniela Di Bella 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 Daniela Di Bella. Daniela Di Bella 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 | 10 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 32 | |
| 6 | 5 | |
| 7 | 47 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 9 | |
| 11 | 76 | |
| 12 | 69 | |
| 13 | 98 | |
| 14 | Obsessive-compulsive disorder, treatment response and the 5HTT gene | 1 |
| 15 | 130 | |
| 16 | 482 | |
| 17 | Genetic studies in eating disorders | 1 |
| 18 | 39 | |
| 19 | 88 | |
| 20 | 28 |
About Daniela Di Bella
Daniela Di Bella is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 76 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (17 papers), Neurotransmitter Receptor Influence on Behavior (17 papers) and Mitochondrial Function and Pathology (15 papers). The work is most often cited by research in Biological Psychiatry (290 citations), Cellular and Molecular Neuroscience (1.8k citations) and Behavioral Neuroscience (206 citations). Daniela Di Bella has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Marco Catalano, Enrico Smeraldi, Laura Bellodi, Francesco Benedetti, Klaus‐Peter Lesch, Raffaella Zanardi, J. Pérez, Maria Cristina Cavallini, Franco Taroni and Markus M. Nöthen. Their work appears in journals such as American Journal of Psychiatry, Brain and Neurology.
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.