Monica Consonni
- Neurology top 5%
- Cognitive Neuroscience top 5%
- Physiology top 10%
- Psychiatry and Mental health top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Stefano F. CappaEleonora CatricalàGiuseppe LauriaCristiano ChesiAndrea MoroEleonora Dalla BellaSandro IannacconeChiara Cerami
- Topics
- Amyotrophic Lateral Sclerosis Research (16 papers)Parkinson's Disease Mechanisms and Treatments (10 papers)Alzheimer's disease research and treatments (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurologyJournal of Neurology Neurosurgery & Psychiatry
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Monica Consonni
28 papers receiving 859 citations
Peers
Comparison fields: 5 of 76
- Neurology 382
- Cognitive Neuroscience 358
- Physiology 215
- Psychiatry and Mental health 168
- Developmental and Educational Psychology 128
Countries citing papers authored by Monica Consonni
This map shows the geographic impact of Monica Consonni'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 Monica Consonni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Consonni more than expected).
Fields of papers citing papers by Monica Consonni
This network shows the impact of papers produced by Monica Consonni. 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 Monica Consonni. The network helps show where Monica Consonni may publish in the future.
Co-authorship network of co-authors of Monica Consonni
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Consonni. A scholar is included among the top collaborators of Monica Consonni 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 Monica Consonni. Monica Consonni 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 | 2 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 27 | |
| 11 | 10 | |
| 12 | 29 | |
| 13 | 29 | |
| 14 | 225 | |
| 15 | 47 | |
| 16 | 39 | |
| 17 | 80 | |
| 18 | 42 | |
| 19 | 87 | |
| 20 | 25 |
About Monica Consonni
Monica Consonni is a scholar working on Neurology, Genetics and Cognitive Neuroscience, having authored 28 papers that have together received 875 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (16 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Neurology (382 citations), Cognitive Neuroscience (358 citations) and Genetics (125 citations). Monica Consonni has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Stefano F. Cappa, Eleonora Catricalà, Giuseppe Lauria, Cristiano Chesi, Andrea Moro, Eleonora Dalla Bella, Sandro Iannaccone, Chiara Cerami, Andrea Falini and Christian Lunetta. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Journal of Neurology Neurosurgery & Psychiatry.
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.