Matteo Gorza
Impact in
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- Endoplasmic Reticulum Stress and Disease
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- Neurological diseases and metabolism
Papers in
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- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 1
- Connective Tissue Growth Factor Research 1
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- Parkinson's Disease Mechanisms and Treatments 2
- Neurological diseases and metabolism 1
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Co-authors
- Thomas Meitinger (3 shared papers)Holger Prokisch (3 shared papers)Marius Ueffing (2 shared papers)Rebecca Schüle (2 shared papers)Andreas Fritsche (2 shared papers)Arcangela Iuso (1 shared paper)Clemens Freiberg (2 shared papers)Ody C.M. Sibon (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Molecular & Cellular Proteomics (1 paper)PLoS ONE (1 paper)Cell Death and Differentiation (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Matteo Gorza
6 papers receiving 198 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 62
- Neurology 30
- Clinical Biochemistry 13
- Molecular Biology 129
- Aging 3
Countries citing papers authored by Matteo Gorza
This map shows the geographic impact of Matteo Gorza'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 Matteo Gorza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Gorza more than expected).
Fields of papers citing papers by Matteo Gorza
This network shows the impact of papers produced by Matteo Gorza. 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 Matteo Gorza. The network helps show where Matteo Gorza may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Gorza, 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 | 2014 | 82 | |
| 2 | 2008 | 47 | |
| 3 | 2014 | 25 | |
| 4 | 2014 | 24 | |
| 5 | 2014 | 18 | |
| 6 | 2015 | 3 |
About Matteo Gorza
Matteo Gorza is a scholar working on Molecular Biology, Neurology, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 6 papers that have together received 199 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers), Neurological diseases and metabolism (1 paper), Hereditary Neurological Disorders (1 paper), Alzheimer's disease research and treatments (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), RNA and protein synthesis mechanisms (1 paper) and Connective Tissue Growth Factor Research (1 paper). The work is most often cited by research in Cell Biology (62 citations), Neurology (30 citations), Clinical Biochemistry (13 citations), Molecular Biology (129 citations) and Aging (3 citations). Matteo Gorza has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Thomas Meitinger, Holger Prokisch, Marius Ueffing, Rebecca Schüle, Andreas Fritsche, Arcangela Iuso, Clemens Freiberg, Ody C.M. Sibon, Katharina Heim and Tobias B. Haack. Their work appears in journals such as The American Journal of Human Genetics, Molecular & Cellular Proteomics, PLoS ONE, Cell Death and Differentiation and Journal of Neurochemistry.
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.