Aleksandra A. Galitsyna
- Co-authors
- Mikhail S. GelfandIlya M. FlyamerSergey V. RazinSergey V. UlianovAlexey A. GavrilovEkaterina E. KhrameevaMaxim ImakaevNezar Abdennur
- Topics
- Genomics and Chromatin Dynamics (17 papers)RNA Research and Splicing (9 papers)Chromosomal and Genetic Variations (7 papers)
- Partner nations
- RussiaUnited StatesSwitzerland
In The Last Decade
Aleksandra A. Galitsyna
21 papers receiving 608 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 495
- Plant Science 120
- Cancer Research 66
- Genetics 62
- Ecology 28
Countries citing papers authored by Aleksandra A. Galitsyna
This map shows the geographic impact of Aleksandra A. Galitsyna'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 Aleksandra A. Galitsyna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksandra A. Galitsyna more than expected).
Fields of papers citing papers by Aleksandra A. Galitsyna
This network shows the impact of papers produced by Aleksandra A. Galitsyna. 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 Aleksandra A. Galitsyna. The network helps show where Aleksandra A. Galitsyna may publish in the future.
Co-authorship network of co-authors of Aleksandra A. Galitsyna
This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra A. Galitsyna. A scholar is included among the top collaborators of Aleksandra A. Galitsyna 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 Aleksandra A. Galitsyna. Aleksandra A. Galitsyna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Cooltools: Enabling high-resolution Hi-C analysis in Pythonbreakdown → | 86 |
| 3 | Pairtools: From sequencing data to chromosome contactsbreakdown → | 58 |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 6 | |
| 8 | 57 | |
| 9 | Perspectives for the reconstruction of 3D chromatin conformation using single cell Hi-C data | 0 |
| 10 | 13 | |
| 11 | 42 | |
| 12 | 14 | |
| 13 | 30 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 196 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | 3 | |
| 20 | 8 |
About Aleksandra A. Galitsyna
Aleksandra A. Galitsyna is a scholar working on Molecular Biology, Cancer Research and Plant Science, having authored 24 papers that have together received 613 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (9 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Molecular Biology (495 citations), Cancer Research (66 citations) and Plant Science (120 citations). Aleksandra A. Galitsyna has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include Mikhail S. Gelfand, Ilya M. Flyamer, Sergey V. Razin, Sergey V. Ulianov, Alexey A. Gavrilov, Ekaterina E. Khrameeva, Maxim Imakaev, Nezar Abdennur, Anton Goloborodko and Geoffrey Fudenberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.