Maya Topf
- Structural Biology top 0.1%
- Advanced Electron Microscopy Techniques and Applications 28
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 24
- Protein Structure and Dynamics 18
- RNA modifications and cancer 12
- Ion channel regulation and function 11
- Cell Biology top 2%
- Microtubule and mitosis dynamics 11
- Surfaces, Coatings and Films top 2%
- Electron and X-Ray Spectroscopy Techniques 11
- Materials Chemistry top 5%
- Enzyme Structure and Function 31
- Co-authors
- Andrej SăliAndriy KryshtafovychKrzysztof FidelisJohn MoultTorsten SchwedeWah ChiuFrank AlberDaven Vasishtan
- Journals
- Structure (12 papers)Proteins Structure Function and Bioinformatics (10 papers)Nature Communications (7 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Maya Topf
116 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Structural Biology 880
- Molecular Biology 4.3k
- Cell Biology 637
- Surfaces, Coatings and Films 261
- Materials Chemistry 1.3k
Countries citing papers authored by Maya Topf
This map shows the geographic impact of Maya Topf'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 Maya Topf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Topf more than expected).
Fields of papers citing papers by Maya Topf
This network shows the impact of papers produced by Maya Topf. 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 Maya Topf. The network helps show where Maya Topf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maya Topf, 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 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2023 | 37 | |
| 6 | 2023 | 60 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 72 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 23 | |
| 11 | Critical assessment of methods of protein structure prediction (CASP)—Round | 2021 | 291 |
| 12 | 2020 | 1 | |
| 13 | 2020 | 50 | |
| 14 | Critical assessment of methods of protein structure prediction (CASP)—Round XIIIbreakdown → | 2019 | 330 |
| 15 | 2019 | 21 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 75 | |
| 18 | 2017 | 14 | |
| 19 | 2016 | 82 | |
| 20 | 2010 | 20 |
About Maya Topf
Maya Topf is a scholar working on Structural Biology, Surfaces, Coatings and Films, Molecular Biology, Cell Biology and Materials Chemistry, having authored 118 papers that have together received 5.7k indexed citations. Recurring topics across this work include Enzyme Structure and Function (31 papers), Advanced Electron Microscopy Techniques and Applications (28 papers), RNA and protein synthesis mechanisms (24 papers), Protein Structure and Dynamics (18 papers), RNA modifications and cancer (12 papers), Microtubule and mitosis dynamics (11 papers), Electron and X-Ray Spectroscopy Techniques (11 papers) and Ion channel regulation and function (11 papers). The work is most often cited by research in Structural Biology (880 citations), Molecular Biology (4.3k citations), Cell Biology (637 citations), Surfaces, Coatings and Films (261 citations) and Materials Chemistry (1.3k citations). Maya Topf has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrej Săli, Andriy Kryshtafovych, Krzysztof Fidelis, John Moult, Torsten Schwede, Wah Chiu, Frank Alber, Daven Vasishtan, Arun Prasad Pandurangan and Agnel Praveen Joseph. Their work appears in journals such as Structure, Proteins Structure Function and Bioinformatics, Nature Communications, Journal of Structural Biology and Bioinformatics.
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.