Sofia Lövestam
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
- Physiology 14
- Alzheimer's disease research and treatments 14
-
- Advanced Electron Microscopy Techniques and Applications 3
- Co-authors
- Sjors H. W. Scheres (17 shared papers)Michel Goedert (11 shared papers)Dari Kimanius (2 shared papers)Alexey G. Murzin (6 shared papers)Abhay Kotecha (3 shared papers)Vaithish Velazhahan (1 shared paper)Takanori Nakane (1 shared paper)Kiarash Jamali (1 shared paper)
- Journals
- Acta Neuropathologica (3 papers)Nature (3 papers)FEBS Open Bio (2 papers)FEBS Letters (1 paper)Nature Methods (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Sofia Lövestam
15 papers receiving 746 citations
Sofia Lövestam's Hit Papers
Peers
Comparison fields: 5 of 38
- Structural Biology 30
- Physiology 305
- Neurology 158
- Molecular Biology 86
- Biophysics 6
Countries citing papers authored by Sofia Lövestam
This map shows the geographic impact of Sofia Lövestam'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 Sofia Lövestam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Lövestam more than expected).
Fields of papers citing papers by Sofia Lövestam
This network shows the impact of papers produced by Sofia Lövestam. 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 Sofia Lövestam. The network helps show where Sofia Lövestam may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia Lövestam, 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 | 2022 | 134 | |
| 2 | 2021 | 126 | |
| 3 | Data-driven regularization lowers the size barrier of cryo-EM structure determination Hit paper breakdown → | 2024 | 122 |
| 4 | Disease-specific tau filaments assemble via polymorphic intermediates Hit paper breakdown → | 2023 | 119 |
| 5 | 2023 | 57 | |
| 6 | 2023 | 55 | |
| 7 | 2022 | 49 | |
| 8 | 2023 | 42 | |
| 9 | 2023 | 23 | |
| 10 | 2025 | 10 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 4 | |
| 14 | Cryo-EM structures of amyloid-beta filaments with the Arctic mutation (E22G) from human and mouse brains | 2023 | 1 |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 |
About Sofia Lövestam
Sofia Lövestam is a scholar working on Physiology, Structural Biology, Neurology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 19 papers that have together received 752 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Advanced Electron Microscopy Techniques and Applications (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Structural Biology (30 citations), Physiology (305 citations), Neurology (158 citations), Molecular Biology (86 citations) and Biophysics (6 citations). Sofia Lövestam has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Sjors H. W. Scheres, Michel Goedert, Dari Kimanius, Alexey G. Murzin, Abhay Kotecha, Vaithish Velazhahan, Takanori Nakane, Kiarash Jamali, Max E. Wilkinson and Shigeo Murayama. Their work appears in journals such as Acta Neuropathologica, Nature, FEBS Open Bio, FEBS Letters and Nature Methods.
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.