Armida Faella
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Developmental Neuroscience top 10%
Papers in
- Genetics 7
- Virus-based gene therapy research 7
-
- Viral Infectious Diseases and Gene Expression in Insects 2
- Epigenetics and DNA Methylation 1
- S100 Proteins and Annexins 1
- Co-authors
- Giulia Pavani (5 shared papers)Katherine A. High (5 shared papers)Shangzhen Zhou (5 shared papers)Alex Tai (2 shared papers)Xavier M. Anguela (2 shared papers)Etiena Basner‐Tschakarjan (2 shared papers)J. Fraser Wright (2 shared papers)Gregory M. Podsakoff (2 shared papers)
- Journals
- Blood (5 papers)Molecular Therapy (3 papers)Human Gene Therapy (2 papers)Communications Biology (1 paper)Journal of Thrombosis and Haemostasis (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Armida Faella
14 papers receiving 812 citations
Armida Faella's Hit Papers
Peers
Comparison fields: 5 of 57
- Genetics 339
- Developmental Neuroscience 44
- Neurology 85
- Neurology 122
- Physiology 165
Countries citing papers authored by Armida Faella
This map shows the geographic impact of Armida Faella'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 Armida Faella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armida Faella more than expected).
Fields of papers citing papers by Armida Faella
This network shows the impact of papers produced by Armida Faella. 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 Armida Faella. The network helps show where Armida Faella may publish in the future.
Co-authors
The 25 scholars most cited alongside Armida Faella, 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 | 279 | |
| 2 | Patient-Specific iPSC-Derived Astrocytes Contribute to Non-Cell-Autonomous Neurodegeneration in Parkinson's Disease Hit paper breakdown → | 2019 | 278 |
| 3 | 2007 | 64 | |
| 4 | 2010 | 61 | |
| 5 | 2013 | 38 | |
| 6 | 2010 | 23 | |
| 7 | 2009 | 21 | |
| 8 | 2015 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2011 | 14 | |
| 11 | 2012 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2012 | 1 | |
| 14 | 2006 | 1 |
About Armida Faella
Armida Faella is a scholar working on Genetics, Molecular Biology, Epidemiology, Hematology and Physiology, having authored 14 papers that have together received 824 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Hemophilia Treatment and Research (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Lysosomal Storage Disorders Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Trypanosoma species research and implications (1 paper), Epigenetics and DNA Methylation (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Genetics (339 citations), Developmental Neuroscience (44 citations), Neurology (85 citations), Neurology (122 citations) and Physiology (165 citations). Armida Faella has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Giulia Pavani, Katherine A. High, Shangzhen Zhou, Alex Tai, Xavier M. Anguela, Etiena Basner‐Tschakarjan, J. Fraser Wright, Gregory M. Podsakoff, Christian Hinderer and Yifeng Chen. Their work appears in journals such as Blood, Molecular Therapy, Human Gene Therapy, Communications Biology and Journal of Thrombosis and Haemostasis.
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.