Anna Tasegian
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 10%
- Lysosomal Storage Disorders Research
- Alzheimer's disease research and treatments
Papers in
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- Lysosomal Storage Disorders Research 5
-
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Tommaso Beccari (9 shared papers)Silvia Paciotti (6 shared papers)Lucilla Parnetti (5 shared papers)Paolo Eusebi (4 shared papers)Davide Chiasserini (4 shared papers)Paolo Calabresi (3 shared papers)Emanuele Persichetti (2 shared papers)Andrea Elena Dardis (1 shared paper)
- Journals
- Molecular Neurobiology (1 paper)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (1 paper)Movement Disorders (1 paper)Lipids in Health and Disease (1 paper)Expert Review of Molecular Diagnostics (1 paper)
- Partner nations
- ItalyUnited KingdomNetherlands
In The Last Decade
Anna Tasegian
10 papers receiving 530 citations
Peers
Comparison fields: 5 of 43
- Neurology 257
- Physiology 205
- Clinical Psychology 40
- Neurology 11
- Cancer Research 13
Countries citing papers authored by Anna Tasegian
This map shows the geographic impact of Anna Tasegian'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 Anna Tasegian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Tasegian more than expected).
Fields of papers citing papers by Anna Tasegian
This network shows the impact of papers produced by Anna Tasegian. 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 Anna Tasegian. The network helps show where Anna Tasegian may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Tasegian, 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 | 2017 | 144 | |
| 2 | 2015 | 132 | |
| 3 | 2018 | 120 | |
| 4 | 2016 | 27 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2017 | 8 |
About Anna Tasegian
Anna Tasegian is a scholar working on Physiology, Neurology, Clinical Psychology, Cancer Research and Molecular Biology, having authored 10 papers that have together received 534 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Eating Disorders and Behaviors (2 papers), Cancer, Lipids, and Metabolism (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Neurology (257 citations), Physiology (205 citations), Clinical Psychology (40 citations), Neurology (11 citations) and Cancer Research (13 citations). Anna Tasegian has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Tommaso Beccari, Silvia Paciotti, Lucilla Parnetti, Paolo Eusebi, Davide Chiasserini, Paolo Calabresi, Emanuele Persichetti, Andrea Elena Dardis, Nicola Tambasco and Bruno Bembi. Their work appears in journals such as Molecular Neurobiology, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Movement Disorders, Lipids in Health and Disease and Expert Review of Molecular Diagnostics.
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.