Anne Tuukkanen
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Genetics top 10%
- Cell Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Dmitri I. SvergunHaydyn D. T. MertensMaxim V. PetoukhovPetr V. KonarevNelly R. HajizadehCy M. JeffriesAlejandro PanjkovichJohn M. Franklin
- Topics
- Protein Structure and Dynamics (9 papers)Enzyme Structure and Function (8 papers)Photoreceptor and optogenetics research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- GermanyFinlandUnited Kingdom
In The Last Decade
Anne Tuukkanen
25 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Materials Chemistry 402
- Genetics 202
- Cell Biology 157
- Cellular and Molecular Neuroscience 138
Countries citing papers authored by Anne Tuukkanen
This map shows the geographic impact of Anne Tuukkanen'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 Anne Tuukkanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Tuukkanen more than expected).
Fields of papers citing papers by Anne Tuukkanen
This network shows the impact of papers produced by Anne Tuukkanen. 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 Anne Tuukkanen. The network helps show where Anne Tuukkanen may publish in the future.
Co-authorship network of co-authors of Anne Tuukkanen
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Tuukkanen. A scholar is included among the top collaborators of Anne Tuukkanen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anne Tuukkanen. Anne Tuukkanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 25 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | ATSAS 2.8: a comprehensive data analysis suite for small-angle scattering from macromolecular solutionsbreakdown → | 1037 |
| 6 | 74 | |
| 7 | 21 | |
| 8 | 26 | |
| 9 | 32 | |
| 10 | 54 | |
| 11 | 23 | |
| 12 | 47 | |
| 13 | 79 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 34 | |
| 17 | Understanding of SMFS barriers by means of energy profiles | 2 |
| 18 | 28 | |
| 19 | 19 | |
| 20 | 44 |
About Anne Tuukkanen
Anne Tuukkanen is a scholar working on Structural Biology, Endocrinology and Molecular Medicine, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Endocrinology (54 citations) and Molecular Medicine (52 citations). Anne Tuukkanen has collaborated with scholars based in Germany, Finland and United Kingdom. Frequent co-authors include Dmitri I. Svergun, Haydyn D. T. Mertens, Maxim V. Petoukhov, Petr V. Konarev, Nelly R. Hajizadeh, Cy M. Jeffries, Alejandro Panjkovich, John M. Franklin, Alexey Kikhney and Daniel Franke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.