Olga I. Kulaeva
- Molecular Biology top 5%
- Genetics top 10%
- Oncology
- Plant Science top 10%
- Immunology
- Co-authors
- Vasily M. StuditskyFu‐Kai HsiehDaria A. GaykalovaRoger WoodgateYury S. PolikanovDonal S. LuseМ. П. КирпичниковMichael A. Tainsky
- Topics
- Genomics and Chromatin Dynamics (34 papers)DNA Repair Mechanisms (18 papers)RNA Research and Splicing (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesRussiaTajikistan
In The Last Decade
Olga I. Kulaeva
53 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.9k
- Genetics 262
- Oncology 213
- Plant Science 201
- Immunology 126
Countries citing papers authored by Olga I. Kulaeva
This map shows the geographic impact of Olga I. Kulaeva'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 Olga I. Kulaeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga I. Kulaeva more than expected).
Fields of papers citing papers by Olga I. Kulaeva
This network shows the impact of papers produced by Olga I. Kulaeva. 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 Olga I. Kulaeva. The network helps show where Olga I. Kulaeva may publish in the future.
Co-authorship network of co-authors of Olga I. Kulaeva
This figure shows the co-authorship network connecting the top 25 collaborators of Olga I. Kulaeva. A scholar is included among the top collaborators of Olga I. Kulaeva 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 Olga I. Kulaeva. Olga I. Kulaeva 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 | 75 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | Preparation of mononucleosomal templates for analysis of transcription with RNA polymerase using spFRET. Methods in Molecular Biology. Chromatin protocols | 7 |
| 6 | 31 | |
| 7 | 16 | |
| 8 | 37 | |
| 9 | 42 | |
| 10 | 21 | |
| 11 | 41 | |
| 12 | 53 | |
| 13 | 67 | |
| 14 | 222 | |
| 15 | 11 | |
| 16 | 52 | |
| 17 | 117 | |
| 18 | 46 | |
| 19 | 9 | |
| 20 | 27 |
About Olga I. Kulaeva
Olga I. Kulaeva is a scholar working on Molecular Biology, Molecular Medicine and Genetics, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (34 papers), DNA Repair Mechanisms (18 papers) and RNA Research and Splicing (15 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Structural Biology (16 citations) and Genetics (262 citations). Olga I. Kulaeva has collaborated with scholars based in United States, Russia and Tajikistan. Frequent co-authors include Vasily M. Studitsky, Fu‐Kai Hsieh, Daria A. Gaykalova, Roger Woodgate, Yury S. Polikanov, Donal S. Luse, М. П. Кирпичников, Michael A. Tainsky, V. A. Bondarenko and Lin Tang. 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.