D. Messina
Impact in
Papers in
- Neurology 12
- Parkinson's Disease Mechanisms and Treatments 7
- Neurological disorders and treatments 4
- Cerebral Venous Sinus Thrombosis 2
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- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 2
- Co-authors
- Erik L. L. Sonnhammer (4 shared papers)Aldo Quattrone (16 shared papers)Thomas Schmitt (2 shared papers)Gabriel Östlund (1 shared paper)Sofia K. Forslund (1 shared paper)Oliver Frings (1 shared paper)Jarret Glasscock (6 shared papers)Francesca Condino (7 shared papers)
- Journals
- Neurology (5 papers)Acta Neurologica Scandinavica (3 papers)Neurological Sciences (2 papers)Genome Research (2 papers)American Journal of Neuroradiology (2 papers)
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
D. Messina
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Neurology 447
- Aging 30
- Psychiatry and Mental health 145
- Cellular and Molecular Neuroscience 187
- Molecular Biology 657
Countries citing papers authored by D. Messina
This map shows the geographic impact of D. Messina'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 D. Messina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Messina more than expected).
Fields of papers citing papers by D. Messina
This network shows the impact of papers produced by D. Messina. 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 D. Messina. The network helps show where D. Messina may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Messina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 466 | |
| 2 | 2008 | 145 | |
| 3 | 1997 | 116 | |
| 4 | 2004 | 116 | |
| 5 | 2009 | 106 | |
| 6 | 2015 | 102 | |
| 7 | 2006 | 79 | |
| 8 | 2006 | 59 | |
| 9 | 2011 | 58 | |
| 10 | 2001 | 47 | |
| 11 | 2008 | 46 | |
| 12 | 2001 | 43 | |
| 13 | 2005 | 29 | |
| 14 | 1999 | 26 | |
| 15 | 2008 | 22 | |
| 16 | 2009 | 21 | |
| 17 | 2000 | 21 | |
| 18 | 2009 | 21 | |
| 19 | 2006 | 20 | |
| 20 | 2004 | 19 |
About D. Messina
D. Messina is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Oncology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (4 papers), Genomics and Phylogenetic Studies (4 papers), Nuclear Receptors and Signaling (3 papers), Epilepsy research and treatment (3 papers), Cerebral Venous Sinus Thrombosis (2 papers), Machine Learning in Bioinformatics (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (447 citations), Aging (30 citations), Psychiatry and Mental health (145 citations), Cellular and Molecular Neuroscience (187 citations) and Molecular Biology (657 citations). D. Messina has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Erik L. L. Sonnhammer, Aldo Quattrone, Thomas Schmitt, Gabriel Östlund, Sofia K. Forslund, Oliver Frings, Jarret Glasscock, Francesca Condino, Gennarina Arabia and Maria Salsone. Their work appears in journals such as Neurology, Acta Neurologica Scandinavica, Neurological Sciences, Genome Research and American Journal of Neuroradiology.
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.