Gea Cereghetti
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
-
- RNA Research and Splicing 4
- Fungal and yeast genetics research 3
- Prion Diseases and Protein Misfolding 2
- Single-cell and spatial transcriptomics 2
- Protein Structure and Dynamics 2
-
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Reinhard Dechant (5 shared papers)Matthias Peter (7 shared papers)Shady Saad (4 shared papers)Paola Picotti (3 shared papers)Yuehan Feng (1 shared paper)Suzanne E. Hickman (1 shared paper)Ana Griciuc (1 shared paper)Joseph El Khoury (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Nature Cell Biology (2 papers)Journal of Biological Chemistry (1 paper)Neuron (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Gea Cereghetti
12 papers receiving 641 citations
Peers
Comparison fields: 5 of 82
- Neurology 191
- Biological Psychiatry 41
- Physiology 176
- Biophysics 31
- Molecular Biology 338
Countries citing papers authored by Gea Cereghetti
This map shows the geographic impact of Gea Cereghetti'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 Gea Cereghetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gea Cereghetti more than expected).
Fields of papers citing papers by Gea Cereghetti
This network shows the impact of papers produced by Gea Cereghetti. 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 Gea Cereghetti. The network helps show where Gea Cereghetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Gea Cereghetti, 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 | 2019 | 273 | |
| 2 | 2017 | 144 | |
| 3 | 2021 | 59 | |
| 4 | 2021 | 46 | |
| 5 | 2018 | 44 | |
| 6 | 2024 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 2018 | 21 | |
| 9 | 2025 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 0 |
About Gea Cereghetti
Gea Cereghetti is a scholar working on Molecular Biology, Cell Biology, Physiology, Immunology and Biomedical Engineering, having authored 13 papers that have together received 648 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Alzheimer's disease research and treatments (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Fungal and yeast genetics research (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Prion Diseases and Protein Misfolding (2 papers), Single-cell and spatial transcriptomics (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Neurology (191 citations), Biological Psychiatry (41 citations), Physiology (176 citations), Biophysics (31 citations) and Molecular Biology (338 citations). Gea Cereghetti has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Reinhard Dechant, Matthias Peter, Shady Saad, Paola Picotti, Yuehan Feng, Suzanne E. Hickman, Ana Griciuc, Joseph El Khoury, Rudolph E. Tanzi and Anthony Federico. Their work appears in journals such as Nature Communications, Cell Reports, Nature Cell Biology, Journal of Biological Chemistry and Neuron.
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.