R Bonsi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Circular RNAs in diseases 3
- RNA Interference and Gene Delivery 2
-
- Amyotrophic Lateral Sclerosis Research 4
- Parkinson's Disease Mechanisms and Treatments 2
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Co-authors
- Elio Scarpini (12 shared papers)María Serpente (12 shared papers)Daniela Galimberti (12 shared papers)Chiara Fenoglio (11 shared papers)Elisa Ridolfi (6 shared papers)Milena De Riz (4 shared papers)Chiara Villa (5 shared papers)Claudia Cantoni (3 shared papers)
- Journals
- Journal of Alzheimer s Disease (4 papers)International Journal of Molecular Sciences (2 papers)Alzheimer s & Dementia (1 paper)Brain Behavior and Immunity (1 paper)Neurobiology of Aging (1 paper)
- Partner nations
- Italy
In The Last Decade
R Bonsi
12 papers receiving 449 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 180
- Neurology 94
- Biological Psychiatry 25
- Neurology 113
- Physiology 127
Countries citing papers authored by R Bonsi
This map shows the geographic impact of R Bonsi'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 R Bonsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Bonsi more than expected).
Fields of papers citing papers by R Bonsi
This network shows the impact of papers produced by R Bonsi. 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 R Bonsi. The network helps show where R Bonsi may publish in the future.
Co-authors
The 25 scholars most cited alongside R Bonsi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 99 | |
| 2 | 2013 | 76 | |
| 3 | 2014 | 69 | |
| 4 | 2013 | 63 | |
| 5 | 2015 | 48 | |
| 6 | 2012 | 47 | |
| 7 | 2014 | 21 | |
| 8 | 2015 | 12 | |
| 9 | 2013 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2014 | 3 | |
| 12 | Genetics and expression analysis of the transcription factor Sp4 in patients with Alzheimer’s disease and frontotemporal lobar degeneration. | 2012 | 1 |
About R Bonsi
R Bonsi is a scholar working on Molecular Biology, Neurology, Cancer Research, Physiology and Organic Chemistry, having authored 12 papers that have together received 452 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Alzheimer's disease research and treatments (3 papers), Circular RNAs in diseases (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cancer Research (180 citations), Neurology (94 citations), Biological Psychiatry (25 citations), Neurology (113 citations) and Physiology (127 citations). R Bonsi has collaborated with scholars based in Italy. Frequent co-authors include Elio Scarpini, María Serpente, Daniela Galimberti, Chiara Fenoglio, Elisa Ridolfi, Milena De Riz, Chiara Villa, Claudia Cantoni, Anna M. Pietroboni and Laura Ghezzi. Their work appears in journals such as Journal of Alzheimer s Disease, International Journal of Molecular Sciences, Alzheimer s & Dementia, Brain Behavior and Immunity and Neurobiology of Aging.
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.