Natalia Matassova

3.1k citations
22 papers · 1.3k indexed · h-index 18

Natalia Matassova

21 papers receiving 1.3k citations

Peers

Natalia Matassova
Comparison fields: 5 of 87
  • Molecular Biology 1.2k
  • Genetics 197
  • Computational Theory and Mathematics 123
  • Oncology 118
  • Immunology 111
Replace Warren J. Rocque with:
Warren J. Rocque United States
Kushol Gupta United States
Mei-Chu Lo United States
François Hoh France
Thomas Womack Netherlands
Mads Gabrielsen United Kingdom
David T. Barkan United States
Hannes Braberg United States
Joyce H.G. Lebbink Netherlands
P. Erbel Switzerland
Natalia Matassova relative to Warren J. Rocque United States Warren J. Rocque's profile →
Citations per field
00.5×1.5×2.4×
Warren J. Rocque · 1×
Citations per year

Countries citing papers authored by Natalia Matassova

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Natalia Matassova

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Matassova. A scholar is included among the top collaborators of Natalia Matassova 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 Natalia Matassova. Natalia Matassova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 70
3 51
4 40
5 88
6 73
7 1
8 241
9 62
10 77
11 27
12 17
13 57
14
Elongation factor G-induced structural change in helix 34 of 16S rRNA related to translocation on the ribosome.
25
15 54
16 95
17 76
18 62
19 156
20 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) and Computational Drug Discovery Methods (4 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.

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