Natalia Matassova
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 9
- Heat shock proteins research 4
- Protein Structure and Dynamics 3
- RNA Research and Splicing 3
-
- Computational Drug Discovery Methods 4
- Genetics top 10%
- Bacterial Genetics and Biotechnology 3
-
- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Marina V. RodninaWolfgang WintermeyerAndreas SavelsberghJames B. MurrayFareed Aboul‐elaGeorg LentzenYuri P. SemenkovVladimir I. Katunin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Molecular Cell (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Natalia Matassova
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.2k
- Aging 18
- Computational Theory and Mathematics 123
- Genetics 197
- Cell Biology 109
Countries citing papers authored by Natalia Matassova
This map shows the geographic impact of Natalia Matassova'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 Natalia Matassova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Matassova more than expected).
Fields of papers citing papers by Natalia Matassova
This network shows the impact of papers produced by Natalia Matassova. 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 Natalia Matassova. The network helps show where Natalia Matassova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalia Matassova, 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 | 2020 | 12 | |
| 2 | 2016 | 70 | |
| 3 | 2014 | 51 | |
| 4 | 2013 | 40 | |
| 5 | 2011 | 88 | |
| 6 | 2009 | 73 | |
| 7 | 2009 | 1 | |
| 8 | 2009 | 241 | |
| 9 | 2006 | 62 | |
| 10 | 2003 | 77 | |
| 11 | 2003 | 27 | |
| 12 | 2002 | 17 | |
| 13 | 2001 | 57 | |
| 14 | Elongation factor G-induced structural change in helix 34 of 16S rRNA related to translocation on the ribosome. | 2001 | 25 |
| 15 | 2000 | 54 | |
| 16 | 2000 | 95 | |
| 17 | 2000 | 76 | |
| 18 | 1999 | 62 | |
| 19 | 1999 | 156 | |
| 20 | 1998 | 12 |
About Natalia Matassova
Natalia Matassova is a scholar working on Molecular Biology, Computational Theory and Mathematics and Endocrinology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (9 papers), Computational Drug Discovery Methods (4 papers), Heat shock proteins research (4 papers), Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), RNA Research and Splicing (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Aging (18 citations) and Computational Theory and Mathematics (123 citations). Natalia Matassova has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Marina V. Rodnina, Wolfgang Wintermeyer, Andreas Savelsbergh, James B. Murray, Fareed Aboul‐ela, Georg Lentzen, Yuri P. Semenkov, Vladimir I. Katunin, Stephen D. Roughley and Martin J. Drysdale. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Journal of Molecular Biology.
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.