Sofia Lövestam
Impact in
- Structural Biology top 5%
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
-
- Prion Diseases and Protein Misfolding 8
- Protein Structure and Dynamics 2
- Physiology 10
- Alzheimer's disease research and treatments 10
- Co-authors
- Sjors H. W. Scheres (13 shared papers)Michel Goedert (8 shared papers)Alexey G. Murzin (6 shared papers)Abhay Kotecha (4 shared papers)Manuel Schweighauser (4 shared papers)Bernardino Ghetti (5 shared papers)Sew‐Yeu Peak‐Chew (4 shared papers)Dari Kimanius (2 shared papers)
- Journals
- Acta Neuropathologica (2 papers)FEBS Open Bio (2 papers)Nature Methods (1 paper)Acta Neuropathologica Communications (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sofia Lövestam
12 papers receiving 786 citations
Sofia Lövestam's Hit Papers
Peers
Comparison fields: 5 of 86
- Structural Biology 33
- Physiology 497
- Neurology 93
- Neurology 150
- Molecular Biology 454
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 | Cryo-EM structures of amyloid-β 42 filaments from human brains Hit paper breakdown → | 2022 | 310 |
| 2 | 2021 | 112 | |
| 3 | Data-driven regularization lowers the size barrier of cryo-EM structure determination Hit paper breakdown → | 2024 | 88 |
| 4 | 2023 | 83 | |
| 5 | 2023 | 49 | |
| 6 | 2023 | 48 | |
| 7 | 2023 | 32 | |
| 8 | 2022 | 31 | |
| 9 | 2023 | 21 | |
| 10 | 2025 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About Sofia Lövestam
Sofia Lövestam is a scholar working on Molecular Biology, Physiology, Neurology, Structural Biology and Neurology, having authored 15 papers that have together received 788 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Prion Diseases and Protein Misfolding (8 papers), Neurological diseases and metabolism (4 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Structural Biology (33 citations), Physiology (497 citations), Neurology (93 citations), Neurology (150 citations) and Molecular Biology (454 citations). Sofia Lövestam has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Sjors H. W. Scheres, Michel Goedert, Alexey G. Murzin, Abhay Kotecha, Manuel Schweighauser, Bernardino Ghetti, Sew‐Yeu Peak‐Chew, Dari Kimanius, Holly J. Garringer and Rubén Vidal. Their work appears in journals such as Acta Neuropathologica, FEBS Open Bio, Nature Methods, Acta Neuropathologica Communications and FEBS Letters.
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.